Upload
others
View
3
Download
0
Embed Size (px)
Citation preview
Quantum chemistry without wave functions
Eugene DePrince Department of Chemistry and Biochemistry
Florida State University
June 18th, 2019
Quantum chemistry without wave functions (and I don't mean density functional theory)
Eugene DePrince Department of Chemistry and Biochemistry
Florida State University
June 18th, 2019
electronic structure in complex systems
Class 1: non-dynamical (or strong / static / multireference) electron correlation
Class 2: strong fields, multiple pulses: beyond linear response with real-time methods
- - -- - --
+++ ++ ++E(t)
singlet fission structure/spectra of heavy-atom complexes
spin-state transitions and spin-crossover complexes
JACS, 136, 8050 (2014)
Nat. Commun, 6, 6827 (2015)
“The underlying physical laws necessary for the mathematical theory of a large part of physics and the whole of chemistry are thus completely known, and the difficulty is only that the exact application of these laws leads to equations much too complicated to be soluble.
Paul A. M. Dirac, 1929
“The underlying physical laws necessary for the mathematical theory of a large part of physics and the whole of chemistry are thus completely known, and the difficulty is only that the exact application of these laws leads to equations much too complicated to be soluble.
Paul A. M. Dirac, 1929
the Schrödinger equation: H = E �i~@ @t
= H or
Paul A. M. Dirac, 1929
“The underlying physical laws necessary for the mathematical theory of a large part of physics and the whole of chemistry are thus completely known, and the difficulty is only that the exact application of these laws leads to equations much too complicated to be soluble.
It therefore becomes desirable that approximate practical methods of applying quantum mechanics should be developed, which can lead to an explanation of the main features of complex atomic systems without too much computation.”
the Schrödinger equation: H = E �i~@ @t
= H or
dynamical electron correlationHartree-Fock MP2 CCSD CCSD(T) full CI
size
of t
he o
ne-e
lect
ron
basi
s se
t
what physics is included
how well is “space” described
cost of “approximate practical methods”
MP2: 2nd-order perturbation theoryCCSD: coupled cluster with single and double excitationsCCSD(T): CCSD + perturbative triple excitationsfull CI: full configuration interaction … wave function includes all possible electronic configurations
dynamical electron correlationHartree-Fock MP2 CCSD CCSD(T) full CI
size
of t
he o
ne-e
lect
ron
basi
s se
tcost of “approximate practical methods”
MP2: 2nd-order perturbation theoryCCSD: coupled cluster with single and double excitationsCCSD(T): CCSD + perturbative triple excitationsfull CI: full configuration interaction … wave function includes all possible electronic configurations
two-body correlations
dynamical electron correlationHartree-Fock MP2 CCSD CCSD(T) full CI
size
of t
he o
ne-e
lect
ron
basi
s se
tcost of “approximate practical methods”
MP2: 2nd-order perturbation theoryCCSD: coupled cluster with single and double excitationsCCSD(T): CCSD + perturbative triple excitationsfull CI: full configuration interaction … wave function includes all possible electronic configurations
two-body correlations
three-body correlations
dynamical electron correlationHartree-Fock MP2 CCSD CCSD(T) full CI
size
of t
he o
ne-e
lect
ron
basi
s se
tcost of “approximate practical methods”
MP2: 2nd-order perturbation theoryCCSD: coupled cluster with single and double excitationsCCSD(T): CCSD + perturbative triple excitationsfull CI: full configuration interaction … wave function includes all possible electronic configurations
two-body correlations
three-body correlations
N-body correlations
dynamical electron correlationHartree-Fock MP2 CCSD CCSD(T) full CI
size
of t
he o
ne-e
lect
ron
basi
s se
tcost of “approximate practical methods”
MP2: 2nd-order perturbation theoryCCSD: coupled cluster with single and double excitationsCCSD(T): CCSD + perturbative triple excitationsfull CI: full configuration interaction … wave function includes all possible electronic configurations
X truth!
two-body correlations
three-body correlations
N-body correlations
dynamical electron correlationHartree-Fock MP2 CCSD CCSD(T) full CI
size
of t
he o
ne-e
lect
ron
basi
s se
tcost of “approximate practical methods”
MP2: 2nd-order perturbation theoryCCSD: coupled cluster with single and double excitationsCCSD(T): CCSD + perturbative triple excitationsfull CI: full configuration interaction … wave function includes all possible electronic configurations
X truth!
feasible computationstwo-body correlations
three-body correlations
N-body correlations
dynamical electron correlationHartree-Fock MP2 CCSD CCSD(T) full CI
size
of t
he o
ne-e
lect
ron
basi
s se
tcost of “approximate practical methods”
MP2: 2nd-order perturbation theoryCCSD: coupled cluster with single and double excitationsCCSD(T): CCSD + perturbative triple excitationsfull CI: full configuration interaction … wave function includes all possible electronic configurations
X truth!
feasible computations
dynamical electron correlationHartree-Fock MP2 CCSD CCSD(T) full CI
size
of t
he o
ne-e
lect
ron
basi
s se
tcost of “approximate practical methods”
MP2: 2nd-order perturbation theoryCCSD: coupled cluster with single and double excitationsCCSD(T): CCSD + perturbative triple excitationsfull CI: full configuration interaction … wave function includes all possible electronic configurations
X truth!feasible computationshow do we move this line?
dynamical electron correlationHartree-Fock MP2 CCSD CCSD(T) full CI
size
of t
he o
ne-e
lect
ron
basi
s se
tcost of “approximate practical methods”
MP2: 2nd-order perturbation theoryCCSD: coupled cluster with single and double excitationsCCSD(T): CCSD + perturbative triple excitationsfull CI: full configuration interaction … include all possible electronic configurations
X truth!feasible computationshow do we move this line?
1.mild approximations
dynamical electron correlationHartree-Fock MP2 CCSD CCSD(T) full CI
size
of t
he o
ne-e
lect
ron
basi
s se
tcost of “approximate practical methods”
MP2: 2nd-order perturbation theoryCCSD: coupled cluster with single and double excitationsCCSD(T): CCSD + perturbative triple excitationsfull CI: full configuration interaction … include all possible electronic configurations
X truth!feasible computationshow do we move this line?
1.mild approximations
dynamical electron correlationHartree-Fock MP2 CCSD CCSD(T) full CI
size
of t
he o
ne-e
lect
ron
basi
s se
tcost of “approximate practical methods”
MP2: 2nd-order perturbation theoryCCSD: coupled cluster with single and double excitationsCCSD(T): CCSD + perturbative triple excitationsfull CI: full configuration interaction … include all possible electronic configurations
- local correlation approximations
X truth!feasible computations
dynamical electron correlationHartree-Fock MP2 CCSD CCSD(T) full CI
size
of t
he o
ne-e
lect
ron
basi
s se
tcost of “approximate practical methods”
MP2: 2nd-order perturbation theoryCCSD: coupled cluster with single and double excitationsCCSD(T): CCSD + perturbative triple excitationsfull CI: full configuration interaction … include all possible electronic configurations
- local correlation approximations
how do we move this line?
1.mild approximations
X truth!feasible computations
dynamical electron correlationHartree-Fock MP2 CCSD CCSD(T) full CI
size
of t
he o
ne-e
lect
ron
basi
s se
tcost of “approximate practical methods”
MP2: 2nd-order perturbation theoryCCSD: coupled cluster with single and double excitationsCCSD(T): CCSD + perturbative triple excitationsfull CI: full configuration interaction … include all possible electronic configurations
- local correlation approximations
how do we move this line?
1.mild approximations
X truth!feasible computationshow do we move this line?
1.mild approximations2. improved algorithms and hardware
dynamical electron correlationHartree-Fock MP2 CCSD CCSD(T) full CI
size
of t
he o
ne-e
lect
ron
basi
s se
tcost of “approximate practical methods”
MP2: 2nd-order perturbation theoryCCSD: coupled cluster with single and double excitationsCCSD(T): CCSD + perturbative triple excitationsfull CI: full configuration interaction … include all possible electronic configurations
X truth!feasible computationshow do we move this line?
1.mild approximations2. improved algorithms and hardware
dynamical electron correlationHartree-Fock MP2 CCSD CCSD(T) full CI
size
of t
he o
ne-e
lect
ron
basi
s se
tcost of “approximate practical methods”
MP2: 2nd-order perturbation theoryCCSD: coupled cluster with single and double excitationsCCSD(T): CCSD + perturbative triple excitationsfull CI: full configuration interaction … include all possible electronic configurations
vs
GPU CCSD: ~3x acceleration
AED, Hammond, JCTC, 7, 12871295 (2011)AED, Kennedy, Sumpter, Sherrill, Mol. Phys. 112, 844-852 (2014)
Mullinax, Koulias, Gidofalvi, Epifanovsky, AED, in prep.
GPU v2RDM-CASSCF: ~3x acceleration
X truth!feasible computationshow do we move this line?
1.mild approximations2. improved algorithms and hardware3.completely different representations of the electronic structure
dynamical electron correlationHartree-Fock MP2 CCSD CCSD(T) full CI
size
of t
he o
ne-e
lect
ron
basi
s se
tcost of “approximate practical methods”
MP2: 2nd-order perturbation theoryCCSD: coupled cluster with single and double excitationsCCSD(T): CCSD + perturbative triple excitationsfull CI: full configuration interaction … include all possible electronic configurations
static / strong / non-dynamical / multireference electron correlation
nondynamical correlation
σg
σu
in bonding region, wave function iswell-described by a single electronicconfiguration
−1.2
−1.1
−1.0
−0.9
−0.8
−0.7
−0.6
−0.5
−0.4
−0.3
0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0
ener
gy (E
h)
H−H distance (Å)
Hartree−FockRestrictedE
static / strong / non-dynamical / multireference electron correlation
example: H2 dissociation in a minimal basis
nondynamical correlation
σg σu
−1.2
−1.1
−1.0
−0.9
−0.8
−0.7
−0.6
−0.5
−0.4
−0.3
0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0
ener
gy (E
h)
H−H distance (Å)
Hartree−FockRestrictedE
at dissociation, the MOs become nearly degenerate, the wave function can no longer be described by a single RHF determinant
static / strong / non-dynamical / multireference electron correlation
example: H2 dissociation in a minimal basis
nondynamical correlation
σg σuRestricted
example: H2 dissociation in a minimal basis E
−1.2
−1.1
−1.0
−0.9
−0.8
−0.7
−0.6
−0.5
−0.4
−0.3
0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0
ener
gy (E
h)
H−H distance (Å)
Hartree−FockFull CI
qualitatively correct wave function includes equal contributions from two electronic configurations
(1, 2) =1p2(�2
g � �2u)
nondynamical correlationstatic / strong / non-dynamical / multireference electron correlation
at dissociation, the MOs become nearly degenerate, the wave function can no longer be described by a single RHF determinant
−109.1
−109.0
−108.9
−108.8
−108.7
−108.6
−108.5
−108.4
1.0 1.5 2.0 2.5 3.0 3.5
ener
gy (E
h)
N−N distance (Å)
To describe N2 dissociation, we must ask: which orbitals are important?
complete active space self consistent field method (CASSCF)
conventional methods for nondynamical correlation
−109.1
−109.0
−108.9
−108.8
−108.7
−108.6
−108.5
−108.4
1.0 1.5 2.0 2.5 3.0 3.5
ener
gy (E
h)
N−N distance (Å)
To describe N2 dissociation, we must ask: which orbitals are important?
0.0
0.5
1.0
1.5
2.0
1.0 1.5 2.0 2.5 3.0 3.5
occu
patio
n
N−N bond length (Å)
HONO (πu)LUNO (πg)
HONO−1 (σg)LUNO+1 (σu)
π/π*, σ/σ*6 electrons, 6 orbitals
complete active space self consistent field method (CASSCF)
conventional methods for nondynamical correlation
−109.1
−109.0
−108.9
−108.8
−108.7
−108.6
−108.5
−108.4
1.0 1.5 2.0 2.5 3.0 3.5
ener
gy (E
h)
N−N distance (Å)
To describe N2 dissociation, we must ask: which orbitals are important?
π/π*, σ/σ*6 electrons, 6 orbitals
core
active: (6e,6o)
virtual
complete active space self consistent field method (CASSCF)
conventional methods for nondynamical correlation
core
virtual
complete active space self consistent field method (CASSCF)
active: (6e,6o)
conventional methods for nondynamical correlation
core
virtual
complete active space self consistent field method (CASSCF)
active: (6e,6o)
| CIi = (1 + C1 + C2 + C3 + . . . + CN )| 0i
active space often by configuration interaction (CI) - full CI in active space: “CAS”
simultaneous optimization of orbitals - mixing between active/virtual and active/core spaces: “SCF”
conventional methods for nondynamical correlation
complete active space self consistent field method (CASSCF)
1
100000
1x1010
1x1015
1x1020
1x1025
1x1030
0 5 10 15 20 25 30 35 40 45 50
k
(ke,ko) active space
num
ber
of v
aria
bles
100
105
1010
1015
1020
1025
1030
beyond (18e,18o) intractable
core
virtual
active: (6e,6o)
- CI
active space often by configuration interaction (CI) - full CI in active space: “CAS”
conventional methods for nondynamical correlation
bonding in actinide complexeswhat orbitals are important?
complete active space self consistent field method (CASSCF)
1
100000
1x1010
1x1015
1x1020
1x1025
1x1030
0 5 10 15 20 25 30 35 40 45 50
k
(ke,ko) active space
num
ber
of v
aria
bles
100
105
1010
1015
1020
1025
1030
beyond (18e,18o) intractable
metal: 5f, 6d, 7s, 7pligands (O,N): 2p
25+ electrons, 25+ total orbitals
- CI
active space often by configuration interaction (CI) - full CI in active space: “CAS”
conventional methods for nondynamical correlation
bonding in actinide complexeswhat orbitals are important?
complete active space self consistent field method (CASSCF)
1
100000
1x1010
1x1015
1x1020
1x1025
1x1030
0 5 10 15 20 25 30 35 40 45 50
k
(ke,ko) active space
100
105
1010
1015
1020
1025
1030
beyond (18e,18o) intractable
metal: 5f, 6d, 7s, 7pligands (O,N): 2p
25+ electrons, 25+ total orbitals
- CI
num
ber
of v
aria
bles
DMRG-drivena
Firm: Q-Chem, Inc. Topic: A14A-T013 Proposal: A2-6031
[19] S. Burer and R. D. Monteiro, Mathematical Programming 95, 329 (2003).[20] J. Povh, F. Rendl, A. Wiegele, Computing 78, 277 (2006).[21] J. Malick, J. Povh, F. Rendl, and A. Wiegele, SIAM J. Optim. 20, 336 (2009).[22] D. A. Mazziotti, Phys. Rev. Lett. 106, 083001 (2011).[23] Y. Shao, L. Fusti-Molnar, Y. Jung, J. Kussmann, C. Ochsenfeld, S. T. Brown, A. T. B. Gilbert, L.
V. Slipchenko,S. V. Levchenko, D. P. O’Neill, R. A. Distasio Jr., R. C. Lochan, T. Wang, G. J. O.Beran, N. A. Besley, J. M., Herbert, C. Y. Lin, T. Van Voorhis, S. H. Chien, A. Sodt, R. P. Steele,V. A. Rassolov, P. E. Maslen, P. P. Korambath, R. D. Adamson, B. Austin, J. Baker, E. F. C. Byrd,H. Dachsel, R. J. Doerksen, A. Dreuw, B. D. Dunietz, A. D. Dutoi, T. R. Furlani, S. R. Gwaltney, A.Heyden, S. Hirata, C.-P. Hsu, G. Kedziora, R. Z. Khalliulin, P. Klunzinger, A. M. Lee, M. S. Lee, W.Liang, I. Lotan, N. Nair, B. Peters, E. I. Proynov, P. A. Pieniazek, Y. M. Rhee, J. Ritchie, E. Rosta,C. D. Sherrill, A. C. Simmonett, J. E. Subotnik, H. L. Woodcock III, W. Zhang, A. T. Bell, A. K.Chakraborty, D. M. Chipman, F. J. Keil, A. Warshel, W. J. Hehre, H. F. Schaefer III, J. Kong, A. I.Krylov, P. M. W. Gill, M. Head-Gordon, Phys. Chem. Chem. Phys. 8, 3172 - 3191 (2006).
[24] E. Epifanovsky, M. Wormit, T. Ku, A. Landau, D. Zuev, K. Khistyaev, P. Manohar, I. Kaliman,A. Dreuw, and A. I. Krylov, J. Comput. Chem. 34, 2293 (2013).
[25] E. Solomonik, D. Matthews, J. Hammond, and J. Demmel, Cyclops Tensor Framework: reducing com-munication and eliminating load imbalance in massively parallel contractions, Tech. Rep. UCB/EECS-2012-210 (EECS Department, University of California, Berkeley, 2012).
[26] M. Nakata, B. J. Braams, K. Fujisawa, M. Fukuda, J. K. Percus, M. Yamashita, and Z. Zhao, J. Chem.Phys. 128, 164113 (2008).
[27] Turney, J. M.; Simmonett, A. C.; Parrish, R. M.; Hohenstein, E. G.; Evangelista, F. A.; Fermann, J.T.; Mintz, B. J.; Burns, L. A.; Wilke, J. J.; Abrams, M. L.; Russ, N. J.; Leininger, M. L.; Janssen, C.L.; Seidl, E. T.; Allen, W. D.; Schaefer, H. F.; King, R. A.; Valeev, E. F.; Sherrill, C. D.; Crawford, T.D. “Psi4: an open-source ab initio electronic structure program”, WIREs Comput. Mol. Sci. 2, 556-565(2012).
[28] A. J. Coleman, Rev. Mod. Phys. 35, 668 (1963).[29] R. M. Erdahl, Rep. Math. Phys. 15, 147 (1979).[30] G. Gidofalvi and D. A. Mazziotti, Phys. Rev. A 72, 052505 (2005).[31] S. R. White, Phys. Rev. Lett. 69, 2863 (1992); S. R. White, Phys. Rev. B 48, 10345 (1993); S. R.
White and R. L. Martin, J. Chem. Phys. 110, 4127 (1999); G. K.-L. Chan and M. Head-Gordon, J.Chem. Phys. 116, 4462 (2002); G. K.-L. Chan and M. Head-Gordon, J. Chem. Phys. 118, 8551 (2003);G. K.-L. Chan, J. Chem. Phys. 120, 3172 (2004).
[32] D. Ghosh, J. Hachmann, T. Yanai, and G. K.-L. Chan, J. Chem. Phys. 128, 144117 (2008).[33] T. Yanai, Y. Kurashige, D. Ghosh, and G. K.-L. Chan, Int. J. Quantum Chem. 109, 2178 (2009).[34] T. Yanai, Y. Kurashige, E. Neuscamman, and G. K.-L. Chan, J. Chem. Phys. 132, 024105 (2010).[35] L. S. Blackford, J. Choi, A. Cleary, E. D’Azevedo, J. Demmel, I. Dhillon, J. Dongarra, S. Hammarling,
G. Henry, A. Petitet, K. Stanley, D. Walker, and R. C. Whaley, ScaLAPACK Users’ Guide (Societyfor Industrial and Applied Mathematics, Philadelphia, PA, 1997).
[36] P. Alpatov, G. Baker, C. Edwards, J. Gunnels, G. Morrow, J. Overfelt, and R. V. D. Geijn, “Plapack:Parallel linear algebra libraries design overview,”.
[37] J. Poulson, B. Marker, R. A. van de Geijn, J. R. Hammond, and N. A. Romero, ACM Trans. Math.Softw. 39, 13:1 (2013).
[38] T. Auckenthaler, H.-J. Bungartz, T. Huckle, L. Krmer, B. Lang, and P. Willems, J. Comput. Sci. 2,272 (2011), social Computational Systems.
[39] H. van Aggelen, B. Verstichel, P. Bultinck, D. Van Neck, and P. W. Ayers, J. Chem. Phys. 136, 014110(2012).
[40] E. Perez-Romero, L. M. Tel, and C. Valdemoro, Int. J. Quantum Chem. 61, 55 (1997).[41] J. Fosso-Tande, D. R. Nascimento, and A. E. DePrince III, submitted (2015).[42] J. Hachmann, J. J. Dorando, M. Avils, and G. K.-L. Chan, J. Chem. Phys. 127, 134309 (2007).[43] J. R. Hammond and D. A. Mazziotti, Phys. Rev. A 71, 062503 (2005).[44] D. A. Mazziotti, Phys. Rev. A 72, 032510 (2005).[45] G. Gidofalvi and D. A. Mazziotti, The Journal of Chemical Physics 125, 144102 (2006).[46] P. Pulay, Chem. Phys. Lett. 73, 393 (1980).
variational 2-RDM (v2RDM) drivenb
Firm: Q-Chem, Inc. Topic: A14A-T013 Proposal: A2-6031
E. Epifanovsky, D. Zuev, X. Feng, K. Khistyaev, Y. Shao, and A. I. Krylov, “General imple-mentation of the resolution-of-the-identity and Cholesky representations of electron repulsionintegrals within coupled-cluster and equation-of-motion methods: Theory and benchmarks,”J. Chem. Phys. 139, 134105 (2013).
E. Epifanovsky, M. Wormit, T. Kus, A. Landau, D. Zuev, K. Khistyaev, P. Manohar, I. Kali-man, A. Dreuw, and A.I. Krylov “New implementation of high-level correlated methodsusing a general block-tensor library for high-performance electronic structure calculations,”J. Comput. Chem. 34, 2293 (2013).
VIII. FACILITIES/EQUIPMENT
At the time of submission of this proposal, the DePrince Group at Florida State University has5 modern multi-core Linux servers used for code development and benchmarking. One server isequipped with an NVIDIA Tesla K40c (Kepler) GPU. We have also purchased 160 computer coresat the FSU Research and Computing Center. Q-Chem, Inc. owns six modern multi-core Linuxservers and several other Mac OS, Windows, AIX and Sun Solaris computer servers to support in-house code development and platform porting. The proposed Phase II research e↵ort is limited totheoretical and computational work, and the facilities meet all environmental laws and regulations.
IX. CONSULTANTS
No consultants will be employed during Phase II of this STTR.
X. REFERENCES
[1] C. Garrod, M. V. Mihailovic, and M. Rosina, J. Math. Phys. 16, 868 (1975); M. V. Mihailovic and M.Rosina, Nucl. Phys. A 237, 221 (1975); M. Rosina and C. Garrod, J. Comput. Phys. 18, 300 (1975);R. M. Erdahl, C. Garrod, B. Golli, and M. Rosina, J. Math. Phys. 20, 1366 (1979); R. M. Erdahl, Rep.Math. Phys. 15, 147 (1979).
[2] R. M. Erdahl, Int. J. Quantum Chem. 13, 697 (1978).[3] M. Nakata, H. Nakatsuji, M. Ehara, M. Fukuda, K. Nakata, and K. Fujisawa, J. Chem. Phys. 114,
8282 (2001).[4] D. A. Mazziotti and R. M. Erdahl, Phys. Rev. A 63, 042113 (2001).[5] D. A. Mazziotti, Phys. Rev. A 65, 062511 (2002).[6] D. A. Mazziotti, Phys. Rev. A 74, 032501 (2006).[7] Z. Zhao, B. J. Braams, M. Fukuda, M. L. Overton, and J. K. Percus, J. Chem. Phys. 120, 2095 (2004).[8] M. Fukuda, B. J. Braams, M. Nakata, M. L. Overton, J. K. Percus, M. Yamashita, and Z. Zhao, Math.
Program. 109, 553 (2007).[9] E. Cances, G. Stoltz, and M. Lewin, J. Chem. Phys. 125, 064101 (2006).[10] B. Verstichel, H. van Aggelen, D. Van Neck, P. W. Ayers, and P. Bultinck, Phys. Rev. A 80, 032508
(2009).[11] G. Gidofalvi and D. A. Mazziotti, J. Chem. Phys. 129, 134108 (2008).[12] K. Pelzer, L. Greenman, G. Gidofalvi, and D. A. Mazziotti, J. Phys. Chem. A 115, 5632 (2011).[13] L. Greenman and D. A. Mazziotti, J. Chem. Phys. 133, 164110 (2010).[14] A. V. Sinitskiy, L. Greenman, and D. A. Mazziotti, J. Chem. Phys. 133, 014104 (2010).[15] L. Vandenberghe and S. Boyd, SIAM Rev. 38, 49 (1996).[16] C. Garrod and J. K. Percus, J. Math. Phys. 5, 1756 (1964).[17] D. A. Mazziotti, Phys. Rev. Lett. 93, 213001 (2004).[18] D. A. Mazziotti, ESAIM: Mathematical Modelling and Numerical Analysis 41, 249 (2007).
large-active space CASSCF requires a polynomially scaling approach such as
CASSCF
or
Fosso-Tande, Nguyen, Gidofalvi, AED, JCTC. 12, 2260-2271 (2016).
[a] [b]
active space often by configuration interaction (CI) - full CI in active space: “CAS”
conventional methods for nondynamical correlation
bonding in actinide complexeswhat orbitals are important?
conventional methods for nondynamical correlationcomplete active space self consistent field method (CASSCF)
1
100000
1x1010
1x1015
1x1020
1x1025
1x1030
0 5 10 15 20 25 30 35 40 45 50
k
(ke,ko) active space
100
105
1010
1015
1020
1025
1030
beyond (18e,18o) intractable
metal: 5f, 6d, 7s, 7pligands (O,N): 2p
25+ electrons, 25+ total orbitals
- 2-RDM
1
100000
1x1010
1x1015
1x1020
1x1025
1x1030
0 5 10 15 20 25 30 35 40 45 50
- CI
num
ber
of v
aria
bles
DMRG-drivena
Firm: Q-Chem, Inc. Topic: A14A-T013 Proposal: A2-6031
[19] S. Burer and R. D. Monteiro, Mathematical Programming 95, 329 (2003).[20] J. Povh, F. Rendl, A. Wiegele, Computing 78, 277 (2006).[21] J. Malick, J. Povh, F. Rendl, and A. Wiegele, SIAM J. Optim. 20, 336 (2009).[22] D. A. Mazziotti, Phys. Rev. Lett. 106, 083001 (2011).[23] Y. Shao, L. Fusti-Molnar, Y. Jung, J. Kussmann, C. Ochsenfeld, S. T. Brown, A. T. B. Gilbert, L.
V. Slipchenko,S. V. Levchenko, D. P. O’Neill, R. A. Distasio Jr., R. C. Lochan, T. Wang, G. J. O.Beran, N. A. Besley, J. M., Herbert, C. Y. Lin, T. Van Voorhis, S. H. Chien, A. Sodt, R. P. Steele,V. A. Rassolov, P. E. Maslen, P. P. Korambath, R. D. Adamson, B. Austin, J. Baker, E. F. C. Byrd,H. Dachsel, R. J. Doerksen, A. Dreuw, B. D. Dunietz, A. D. Dutoi, T. R. Furlani, S. R. Gwaltney, A.Heyden, S. Hirata, C.-P. Hsu, G. Kedziora, R. Z. Khalliulin, P. Klunzinger, A. M. Lee, M. S. Lee, W.Liang, I. Lotan, N. Nair, B. Peters, E. I. Proynov, P. A. Pieniazek, Y. M. Rhee, J. Ritchie, E. Rosta,C. D. Sherrill, A. C. Simmonett, J. E. Subotnik, H. L. Woodcock III, W. Zhang, A. T. Bell, A. K.Chakraborty, D. M. Chipman, F. J. Keil, A. Warshel, W. J. Hehre, H. F. Schaefer III, J. Kong, A. I.Krylov, P. M. W. Gill, M. Head-Gordon, Phys. Chem. Chem. Phys. 8, 3172 - 3191 (2006).
[24] E. Epifanovsky, M. Wormit, T. Ku, A. Landau, D. Zuev, K. Khistyaev, P. Manohar, I. Kaliman,A. Dreuw, and A. I. Krylov, J. Comput. Chem. 34, 2293 (2013).
[25] E. Solomonik, D. Matthews, J. Hammond, and J. Demmel, Cyclops Tensor Framework: reducing com-munication and eliminating load imbalance in massively parallel contractions, Tech. Rep. UCB/EECS-2012-210 (EECS Department, University of California, Berkeley, 2012).
[26] M. Nakata, B. J. Braams, K. Fujisawa, M. Fukuda, J. K. Percus, M. Yamashita, and Z. Zhao, J. Chem.Phys. 128, 164113 (2008).
[27] Turney, J. M.; Simmonett, A. C.; Parrish, R. M.; Hohenstein, E. G.; Evangelista, F. A.; Fermann, J.T.; Mintz, B. J.; Burns, L. A.; Wilke, J. J.; Abrams, M. L.; Russ, N. J.; Leininger, M. L.; Janssen, C.L.; Seidl, E. T.; Allen, W. D.; Schaefer, H. F.; King, R. A.; Valeev, E. F.; Sherrill, C. D.; Crawford, T.D. “Psi4: an open-source ab initio electronic structure program”, WIREs Comput. Mol. Sci. 2, 556-565(2012).
[28] A. J. Coleman, Rev. Mod. Phys. 35, 668 (1963).[29] R. M. Erdahl, Rep. Math. Phys. 15, 147 (1979).[30] G. Gidofalvi and D. A. Mazziotti, Phys. Rev. A 72, 052505 (2005).[31] S. R. White, Phys. Rev. Lett. 69, 2863 (1992); S. R. White, Phys. Rev. B 48, 10345 (1993); S. R.
White and R. L. Martin, J. Chem. Phys. 110, 4127 (1999); G. K.-L. Chan and M. Head-Gordon, J.Chem. Phys. 116, 4462 (2002); G. K.-L. Chan and M. Head-Gordon, J. Chem. Phys. 118, 8551 (2003);G. K.-L. Chan, J. Chem. Phys. 120, 3172 (2004).
[32] D. Ghosh, J. Hachmann, T. Yanai, and G. K.-L. Chan, J. Chem. Phys. 128, 144117 (2008).[33] T. Yanai, Y. Kurashige, D. Ghosh, and G. K.-L. Chan, Int. J. Quantum Chem. 109, 2178 (2009).[34] T. Yanai, Y. Kurashige, E. Neuscamman, and G. K.-L. Chan, J. Chem. Phys. 132, 024105 (2010).[35] L. S. Blackford, J. Choi, A. Cleary, E. D’Azevedo, J. Demmel, I. Dhillon, J. Dongarra, S. Hammarling,
G. Henry, A. Petitet, K. Stanley, D. Walker, and R. C. Whaley, ScaLAPACK Users’ Guide (Societyfor Industrial and Applied Mathematics, Philadelphia, PA, 1997).
[36] P. Alpatov, G. Baker, C. Edwards, J. Gunnels, G. Morrow, J. Overfelt, and R. V. D. Geijn, “Plapack:Parallel linear algebra libraries design overview,”.
[37] J. Poulson, B. Marker, R. A. van de Geijn, J. R. Hammond, and N. A. Romero, ACM Trans. Math.Softw. 39, 13:1 (2013).
[38] T. Auckenthaler, H.-J. Bungartz, T. Huckle, L. Krmer, B. Lang, and P. Willems, J. Comput. Sci. 2,272 (2011), social Computational Systems.
[39] H. van Aggelen, B. Verstichel, P. Bultinck, D. Van Neck, and P. W. Ayers, J. Chem. Phys. 136, 014110(2012).
[40] E. Perez-Romero, L. M. Tel, and C. Valdemoro, Int. J. Quantum Chem. 61, 55 (1997).[41] J. Fosso-Tande, D. R. Nascimento, and A. E. DePrince III, submitted (2015).[42] J. Hachmann, J. J. Dorando, M. Avils, and G. K.-L. Chan, J. Chem. Phys. 127, 134309 (2007).[43] J. R. Hammond and D. A. Mazziotti, Phys. Rev. A 71, 062503 (2005).[44] D. A. Mazziotti, Phys. Rev. A 72, 032510 (2005).[45] G. Gidofalvi and D. A. Mazziotti, The Journal of Chemical Physics 125, 144102 (2006).[46] P. Pulay, Chem. Phys. Lett. 73, 393 (1980).
variational 2-RDM (v2RDM) drivenb
large-active space CASSCF requires a polynomially scaling approach such as
CASSCF
or
[a] [b]
active space often by configuration interaction (CI) - full CI in active space: “CAS”
Firm: Q-Chem, Inc. Topic: A14A-T013 Proposal: A2-6031
E. Epifanovsky, D. Zuev, X. Feng, K. Khistyaev, Y. Shao, and A. I. Krylov, “General imple-mentation of the resolution-of-the-identity and Cholesky representations of electron repulsionintegrals within coupled-cluster and equation-of-motion methods: Theory and benchmarks,”J. Chem. Phys. 139, 134105 (2013).
E. Epifanovsky, M. Wormit, T. Kus, A. Landau, D. Zuev, K. Khistyaev, P. Manohar, I. Kali-man, A. Dreuw, and A.I. Krylov “New implementation of high-level correlated methodsusing a general block-tensor library for high-performance electronic structure calculations,”J. Comput. Chem. 34, 2293 (2013).
VIII. FACILITIES/EQUIPMENT
At the time of submission of this proposal, the DePrince Group at Florida State University has5 modern multi-core Linux servers used for code development and benchmarking. One server isequipped with an NVIDIA Tesla K40c (Kepler) GPU. We have also purchased 160 computer coresat the FSU Research and Computing Center. Q-Chem, Inc. owns six modern multi-core Linuxservers and several other Mac OS, Windows, AIX and Sun Solaris computer servers to support in-house code development and platform porting. The proposed Phase II research e↵ort is limited totheoretical and computational work, and the facilities meet all environmental laws and regulations.
IX. CONSULTANTS
No consultants will be employed during Phase II of this STTR.
X. REFERENCES
[1] C. Garrod, M. V. Mihailovic, and M. Rosina, J. Math. Phys. 16, 868 (1975); M. V. Mihailovic and M.Rosina, Nucl. Phys. A 237, 221 (1975); M. Rosina and C. Garrod, J. Comput. Phys. 18, 300 (1975);R. M. Erdahl, C. Garrod, B. Golli, and M. Rosina, J. Math. Phys. 20, 1366 (1979); R. M. Erdahl, Rep.Math. Phys. 15, 147 (1979).
[2] R. M. Erdahl, Int. J. Quantum Chem. 13, 697 (1978).[3] M. Nakata, H. Nakatsuji, M. Ehara, M. Fukuda, K. Nakata, and K. Fujisawa, J. Chem. Phys. 114,
8282 (2001).[4] D. A. Mazziotti and R. M. Erdahl, Phys. Rev. A 63, 042113 (2001).[5] D. A. Mazziotti, Phys. Rev. A 65, 062511 (2002).[6] D. A. Mazziotti, Phys. Rev. A 74, 032501 (2006).[7] Z. Zhao, B. J. Braams, M. Fukuda, M. L. Overton, and J. K. Percus, J. Chem. Phys. 120, 2095 (2004).[8] M. Fukuda, B. J. Braams, M. Nakata, M. L. Overton, J. K. Percus, M. Yamashita, and Z. Zhao, Math.
Program. 109, 553 (2007).[9] E. Cances, G. Stoltz, and M. Lewin, J. Chem. Phys. 125, 064101 (2006).[10] B. Verstichel, H. van Aggelen, D. Van Neck, P. W. Ayers, and P. Bultinck, Phys. Rev. A 80, 032508
(2009).[11] G. Gidofalvi and D. A. Mazziotti, J. Chem. Phys. 129, 134108 (2008).[12] K. Pelzer, L. Greenman, G. Gidofalvi, and D. A. Mazziotti, J. Phys. Chem. A 115, 5632 (2011).[13] L. Greenman and D. A. Mazziotti, J. Chem. Phys. 133, 164110 (2010).[14] A. V. Sinitskiy, L. Greenman, and D. A. Mazziotti, J. Chem. Phys. 133, 014104 (2010).[15] L. Vandenberghe and S. Boyd, SIAM Rev. 38, 49 (1996).[16] C. Garrod and J. K. Percus, J. Math. Phys. 5, 1756 (1964).[17] D. A. Mazziotti, Phys. Rev. Lett. 93, 213001 (2004).[18] D. A. Mazziotti, ESAIM: Mathematical Modelling and Numerical Analysis 41, 249 (2007).
Fosso-Tande, Nguyen, Gidofalvi, AED, JCTC. 12, 2260-2271 (2016).
[b]
variational 2-RDM (v2RDM) methods
E =1
2
X
pqrs
(pr|qs) 2Dpqrs +
X
pq
hpq1Dp
q ,
P. O. Lowdin Phys. Rev. 97, 1474-1489 (1955).
ground state electronic energy can be written exactly in terms of two-electron reduced-density matrix (2-RDM, 2D) and one-electron RDM (1-RDM, 1D)
variational 2-RDM (v2RDM) methods
*k: number of basis functions
E =1
2
X
pqrs
(pr|qs) 2Dpqrs +
X
pq
hpq1Dp
q ,
P. O. Lowdin Phys. Rev. 97, 1474-1489 (1955).
H H
prob
abili
ty
x
H2 (2e,2o) / cc-pVDZ
1-RDM → probability density O(k2) elements*
ground state electronic energy can be written exactly in terms of two-electron reduced-density matrix (2-RDM, 2D) and one-electron RDM (1-RDM, 1D)
variational 2-RDM (v2RDM) methods
*k: number of basis functions
E =1
2
X
pqrs
(pr|qs) 2Dpqrs +
X
pq
hpq1Dp
q ,
P. O. Lowdin Phys. Rev. 97, 1474-1489 (1955).
H H
prob
abili
ty
x
H2 (2e,2o) / cc-pVDZ 2-RDM → pair probability densityO(k4) elements
1-RDM → probability density O(k2) elements*
ground state electronic energy can be written exactly in terms of two-electron reduced-density matrix (2-RDM, 2D) and one-electron RDM (1-RDM, 1D)
H Hpr
obab
ility
x
variational 2-RDM (v2RDM) methods
Since 2D and 1D are much more compact objects than the N-electron wave function, why not invoke the variational principle and minimize E with respect to elements of 2D and 1D?
*k: number of basis functions
E =1
2
X
pqrs
(pr|qs) 2Dpqrs +
X
pq
hpq1Dp
q ,
P. O. Lowdin Phys. Rev. 97, 1474-1489 (1955).J. E. Mayer Phys. Rev. 100, 1579-1586 (1955).
H H
prob
abili
ty
x
H2 (2e,2o) / cc-pVDZ 2-RDM → pair probability densityO(k4) elements
1-RDM → probability density O(k2) elements*
ground state electronic energy can be written exactly in terms of two-electron reduced-density matrix (2-RDM, 2D) and one-electron RDM (1-RDM, 1D)
H Hpr
obab
ility
x
2D/1D should satisfy a few properties to guarantee they correspond to an antisymmetric N-electron wave function (N-representable) A. J. Coleman, Rev. Mod. Phys. 35, 668-686 (1963).
an ensemble N-representable 1-RDM:
1D(x1|x0
1) = N
Zdx2dx3...dxN
X
k
wk k(x1, x2, x3, ..., xN ) ⇤k(x
01, x2, x3, ..., xN ).
complete ensemble N-representability conditions for the 1-RDM are known (and are simple)
variational 2-RDM (v2RDM) methods
2D/1D should satisfy a few properties to guarantee they correspond to an antisymmetric N-electron wave function (N-representable) A. J. Coleman, Rev. Mod. Phys. 35, 668-686 (1963).
0 �i 1X
i
�i = N
natural spin-orbital occupation numbers (eigenvalues of 1-RDM) must lie between 0 and 1
an ensemble N-representable 1-RDM:
1D(x1|x0
1) = N
Zdx2dx3...dxN
X
k
wk k(x1, x2, x3, ..., xN ) ⇤k(x
01, x2, x3, ..., xN ).
complete ensemble N-representability conditions for the 1-RDM are known (and are simple)
variational 2-RDM (v2RDM) methods
2D/1D should satisfy a few properties to guarantee they correspond to an antisymmetric N-electron wave function (N-representable) A. J. Coleman, Rev. Mod. Phys. 35, 668-686 (1963).
an ensemble N-representable 1-RDM:
1D(x1|x0
1) = N
Zdx2dx3...dxN
X
k
wk k(x1, x2, x3, ..., xN ) ⇤k(x
01, x2, x3, ..., xN ).
complete ensemble N-representability conditions for the 1-RDM are known (and are simple)
Tr(1D) = N1Dij +
1Qji = �ij
and
equivalently, the eigenvalues of the 1-RDM and one hole RDM (1Q) must be nonnegative
variational 2-RDM (v2RDM) methods
1D ⌫ 01Q ⌫ 0 (probability of not finding an electron)
2D/1D should satisfy a few properties to guarantee they correspond to an antisymmetric N-electron wave function (N-representable) A. J. Coleman, Rev. Mod. Phys. 35, 668-686 (1963).
an ensemble N-representable 2-RDM:
2D(x1, x2|x0
1, x02) =
✓N
2
◆Zdx3...dxN
X
k
wk k(x1, x2, x3, ..., xN ) ⇤k(x
01, x
02, x3, ..., xN ).
necessary ensemble N-representability conditions for the 2-RDM include
1. hermiticity2. fixed trace3. antisymmetry with respect to particle exchange
4. nonnegativity of the eigenvalues of 2D (positive semidefiniteness)
2Dpqrs = �2Dqp
rs = �2Dpqsr = 2Dqp
sr
variational 2-RDM (v2RDM) methods
1. hermiticity2. fixed trace3. antisymmetry with respect to particle exchange
4. nonnegativity of the eigenvalues of 2D (positive semidefiniteness)
2D/1D should satisfy a few properties to guarantee they correspond to an antisymmetric N-electron wave function (N-representable) A. J. Coleman, Rev. Mod. Phys. 35, 668-686 (1963).
an ensemble N-representable 2-RDM:
2D(x1, x2|x0
1, x02) =
✓N
2
◆Zdx3...dxN
X
k
wk k(x1, x2, x3, ..., xN ) ⇤k(x
01, x
02, x3, ..., xN ).
necessary ensemble N-representability conditions for the 2-RDM include
2Dpqrs = �2Dqp
rs = �2Dpqsr = 2Dqp
sr
So, the variational optimization of the ground-state 2-RDM is a semindefinite optimization problem
7
1554354.
[1] P.-O. Lowdin, Phys. Rev. 97, 1474 (1955).[2] A. J. Coleman, Rev. Mod. Phys. 35, 668 (1963).[3] D. A. Mazziotti and R. M. Erdahl, Phys. Rev. A 63,
042113 (2001).[4] C. Garrod and J. K. Percus, J. Math. Phys. 5, 1756
(1964).[5] R. Erdahl, Rep. Math. Phys. 15, 147 (1979).[6] M. Nakata, H. Nakatsuji, M. Ehara, M. Fukuda,
K. Nakata, and K. Fujisawa, J. Chem. Phys. 114, 8282(2001).
[7] D. A. Mazziotti, Phys. Rev. A 65, 062511 (2002).[8] D. A. Mazziotti, Phys. Rev. A 74, 032501 (2006).[9] Z. Zhao, B. J. Braams, M. Fukuda, M. L. Overton, and
J. K. Percus, J. Chem. Phys. 120, 2095 (2004).[10] M. Fukuda, B. J. Braams, M. Nakata, M. L. Overton,
J. K. Percus, M. Yamashita, and Z. Zhao, Math. Prog.109, 553 (2007).
[11] E. Cances, G. Stoltz, and M. Lewin, J. Chem. Phys. 125,064101 (2006).
[12] B. Verstichel, H. van Aggelen, D. Van Neck, P. W. Ayers,and P. Bultinck, Phys. Rev. A 80, 032508 (2009).
[13] B. Verstichel, H. van Aggelen, D. V. Neck, P. Bultinck,and S. D. Baerdemacker, Comput. Phys. Commun. 182,1235 (2011).
[14] J. Fosso-Tande, D. R. Nascimento, and A. E. DePrinceIII, Mol. Phys. 114, 423 (2016).
[15] J. Fosso-Tande, T.-S. Nguyen, G. Gidofalvi, and A. E.DePrince III, J. Chem. Theory Comput. 12, 2260 (2016).
[16] M. Bouten, P. van Leuven, M. Mihailovi, and M. Rosina,Nucl. Phys. A 221, 173 (1974), ISSN 0375-9474.
[17] M. Rosina, Int. J. Quantum Chem. 13, 737 (1978).[18] C. Valdemoro, D. R. Alcoba, O. B. Ona, L. M. Tel, and
E. Perez-Romero, Journal of Mathematical Chemistry50, 492 (2012).
[19] L. Greenman and D. A. Mazziotti, J. Chem. Phys. 128,
114109 (2008).[20] D. A. Mazziotti, Phys. Rev. A 68, 052501 (2003).[21] K. Chatterjee and K. Pernal, J. Chem. Phys. 137, 204109
(2012).[22] H. van Aggelen, B. Verstichel, G. Acke, M. Degroote,
P. Bultinck, P. W. Ayers, and D. V. Neck, Comp. andTheor. Chem. 1003, 50 (2013).
[23] R. E. Borland and K. Dennis, J. Phys. B: At. Mol. Phys.5, 7 (1972).
[24] M. Altunbulak and A. Klyachko, Commun. Math. Phys.282, 287 (2008).
[25] C. Schilling, D. Gross, and M. Christandl, Phys. Rev.Lett. 110, 040404 (2013).
[26] C. L. Benavides-Riveros, J. M. Gracia-Bondıa, andM. Springborg, Phys. Rev. A 88, 022508 (2013).
[27] R. Chakraborty and D. A. Mazziotti, Phys. Rev. A 89,042505 (2014).
[28] C. Schilling, Phys. Rev. A 91, 022105 (2015).[29] I. Theophilou, N. N. Lathiotakis, M. A. L. Marques, and
N. Helbig, J. Chem. Phys. 142, 154108 (2015).[30] T. L. Gilbert, Phys. Rev. B 12, 2111 (1975).[31] E. Perez-Romero, L. M. Tel, and C. Valdemoro, Int. J.
Quantum Chem. 61, 55 (1997).[32] G. Gidofalvi and D. A. Mazziotti, Phys. Rev. A 72,
052505 (2005).[33] J. Povh, F. Rendl, A. Wiegele, Computing 78, 277
(2006).[34] J. Malick, J. Povh, F. Rendl, and A. Wiegele, SIAM J.
Optim. 20, 336 (2009).[35] D. A. Mazziotti, Phys. Rev. Lett. 106, 083001 (2011).[36] J. M. Turney, A. C. Simmonett, R. M. Parrish, E. G. Ho-
henstein, F. A. Evangelista, J. T. Fermann, B. J. Mintz,L. A. Burns, J. J. Wilke, M. L. Abrams, et al., WIRESComput. Mol. Sci. 2, 556 (2012).
7
1554354.
[1] P.-O. Lowdin, Phys. Rev. 97, 1474 (1955).[2] A. J. Coleman, Rev. Mod. Phys. 35, 668 (1963).[3] D. A. Mazziotti and R. M. Erdahl, Phys. Rev. A 63,
042113 (2001).[4] C. Garrod and J. K. Percus, J. Math. Phys. 5, 1756
(1964).[5] R. Erdahl, Rep. Math. Phys. 15, 147 (1979).[6] M. Nakata, H. Nakatsuji, M. Ehara, M. Fukuda,
K. Nakata, and K. Fujisawa, J. Chem. Phys. 114, 8282(2001).
[7] D. A. Mazziotti, Phys. Rev. A 65, 062511 (2002).[8] D. A. Mazziotti, Phys. Rev. A 74, 032501 (2006).[9] Z. Zhao, B. J. Braams, M. Fukuda, M. L. Overton, and
J. K. Percus, J. Chem. Phys. 120, 2095 (2004).[10] M. Fukuda, B. J. Braams, M. Nakata, M. L. Overton,
J. K. Percus, M. Yamashita, and Z. Zhao, Math. Prog.109, 553 (2007).
[11] E. Cances, G. Stoltz, and M. Lewin, J. Chem. Phys. 125,064101 (2006).
[12] B. Verstichel, H. van Aggelen, D. Van Neck, P. W. Ayers,and P. Bultinck, Phys. Rev. A 80, 032508 (2009).
[13] B. Verstichel, H. van Aggelen, D. V. Neck, P. Bultinck,and S. D. Baerdemacker, Comput. Phys. Commun. 182,1235 (2011).
[14] J. Fosso-Tande, D. R. Nascimento, and A. E. DePrinceIII, Mol. Phys. 114, 423 (2016).
[15] J. Fosso-Tande, T.-S. Nguyen, G. Gidofalvi, and A. E.DePrince III, J. Chem. Theory Comput. 12, 2260 (2016).
[16] M. Bouten, P. van Leuven, M. Mihailovi, and M. Rosina,Nucl. Phys. A 221, 173 (1974), ISSN 0375-9474.
[17] M. Rosina, Int. J. Quantum Chem. 13, 737 (1978).[18] C. Valdemoro, D. R. Alcoba, O. B. Ona, L. M. Tel, and
E. Perez-Romero, Journal of Mathematical Chemistry50, 492 (2012).
[19] L. Greenman and D. A. Mazziotti, J. Chem. Phys. 128,
114109 (2008).[20] D. A. Mazziotti, Phys. Rev. A 68, 052501 (2003).[21] K. Chatterjee and K. Pernal, J. Chem. Phys. 137, 204109
(2012).[22] H. van Aggelen, B. Verstichel, G. Acke, M. Degroote,
P. Bultinck, P. W. Ayers, and D. V. Neck, Comp. andTheor. Chem. 1003, 50 (2013).
[23] R. E. Borland and K. Dennis, J. Phys. B: At. Mol. Phys.5, 7 (1972).
[24] M. Altunbulak and A. Klyachko, Commun. Math. Phys.282, 287 (2008).
[25] C. Schilling, D. Gross, and M. Christandl, Phys. Rev.Lett. 110, 040404 (2013).
[26] C. L. Benavides-Riveros, J. M. Gracia-Bondıa, andM. Springborg, Phys. Rev. A 88, 022508 (2013).
[27] R. Chakraborty and D. A. Mazziotti, Phys. Rev. A 89,042505 (2014).
[28] C. Schilling, Phys. Rev. A 91, 022105 (2015).[29] I. Theophilou, N. N. Lathiotakis, M. A. L. Marques, and
N. Helbig, J. Chem. Phys. 142, 154108 (2015).[30] T. L. Gilbert, Phys. Rev. B 12, 2111 (1975).[31] E. Perez-Romero, L. M. Tel, and C. Valdemoro, Int. J.
Quantum Chem. 61, 55 (1997).[32] G. Gidofalvi and D. A. Mazziotti, Phys. Rev. A 72,
052505 (2005).[33] J. Povh, F. Rendl, A. Wiegele, Computing 78, 277
(2006).[34] J. Malick, J. Povh, F. Rendl, and A. Wiegele, SIAM J.
Optim. 20, 336 (2009).[35] D. A. Mazziotti, Phys. Rev. Lett. 106, 083001 (2011).[36] J. M. Turney, A. C. Simmonett, R. M. Parrish, E. G. Ho-
henstein, F. A. Evangelista, J. T. Fermann, B. J. Mintz,L. A. Burns, J. J. Wilke, M. L. Abrams, et al., WIRESComput. Mol. Sci. 2, 556 (2012).
variational 2-RDM (v2RDM) methods
−24.90
−24.85
−24.80
−24.75
−24.70
−24.65
−24.60
0.5 1.0 1.5 2.0 2.5 3.0 3.5
ener
gy (E
h)
B−H distance (Å)
Full CIBH / STO-6G
2D ⌫ 0
variational 2-RDM (v2RDM) methods
2-RDM
−29.00
−28.00
−27.00
−26.00
−25.00
−24.00
0.5 1.0 1.5 2.0 2.5 3.0 3.5
ener
gy (E
h)
B−H distance (Å)
Full CI2−RDM (D)v2RDM (P)
BH / STO-6G
2D ⌫ 0
variational 2-RDM (v2RDM) methods
2-RDM
−24.90
−24.85
−24.80
−24.75
−24.70
−24.65
−24.60
0.5 1.0 1.5 2.0 2.5 3.0 3.5
ener
gy (E
h)
B−H distance (Å)
Full CIBH / STO-6G
2D ⌫ 02Q ⌫ 0
variational 2-RDM (v2RDM) methods
2-RDM
two-hole RDM
−24.90
−24.85
−24.80
−24.75
−24.70
−24.65
−24.60
0.5 1.0 1.5 2.0 2.5 3.0 3.5
ener
gy (E
h)
B−H distance (Å)
Full CI
−24.90
−24.85
−24.80
−24.75
−24.70
−24.65
−24.60
0.5 1.0 1.5 2.0 2.5 3.0 3.5
ener
gy (E
h)
B−H distance (Å)
Full CI2−RDM (DQ)v2RDM (PQ)
BH / STO-6G
2D ⌫ 02Q ⌫ 0
variational 2-RDM (v2RDM) methods
2-RDM
two-hole RDM
C. Garrod and J. K. Percus, J. Math. Phys. 5, 1756 (1964).
−24.90
−24.85
−24.80
−24.75
−24.70
−24.65
−24.60
0.5 1.0 1.5 2.0 2.5 3.0 3.5
ener
gy (E
h)
B−H distance (Å)
Full CI2−RDM (DQ)
2−RDM (DQG)v2RDM (PQ)
v2RDM (PQG)
BH / STO-6G
2D ⌫ 02Q ⌫ 02G ⌫ 0
variational 2-RDM (v2RDM) methods
2-RDM
two-hole RDM
particle-hole RDM
1-positivity: 2-positivity (PQG): partial 3-positivity (T1/T2)
1-positivity < 2-positivity < 3-positivity < N-positivity = Full CI
R. M. Erdahl, Int. J. Quantum Chem. 13, 697 (1978).
D. A. Mazziotti, Phys. Rev. A 74, 032501 (2006).
Z. Zhao, B. J. Braams, M. Fukuda, M. L. Overton, and J. K. Percus, J. Chem. Phys. 120,2095 (2004).
1D, 1Q ⌫ 02D, 2Q, 2G ⌫ 0 T1,T2 ⌫ 0
O(k9)
O(k4)
O(k6) k = number of basis functions
systematically improvable N-representability
C. Garrod and J. K. Percus, J. Math. Phys. 5, 1756 (1964).
variational 2-RDM-driven CASSCF
−109.2
−109.1
−109.0
−108.9
−108.8
−108.7
−108.6
1.0 1.5 2.0 2.5 3.0 3.5
ener
gy (E
h)
N−N bond length (Å)
CI
N2 / cc-pVQZ / (6e,6o) active space
Fosso-Tande, Nguyen, Gidofalvi, AED, J. Chem. Theory Comput. 12, 2260-2271 (2016).
core
active: (6e,6o)
virtual
variational 2-RDM-driven CASSCF
Fosso-Tande, Nguyen, Gidofalvi, AED, J. Chem. Theory Comput. 12, 2260-2271 (2016).
−109.2
−109.1
−109.0
−108.9
−108.8
−108.7
−108.6
1.0 1.5 2.0 2.5 3.0 3.5
ener
gy (E
h)
N−N bond length (Å)
CIPQG
N2 / cc-pVQZ / (6e,6o) active space
core
active: (6e,6o)
virtual
- v2RDM can replace CI for describing active space
variational 2-RDM-driven CASSCF
−0.020
−0.015
−0.010
−0.005
0.000
1.0 1.5 2.0 2.5 3.0 3.5
erro
r (E h
)N−N bond length (Å)
Fosso-Tande, Nguyen, Gidofalvi, AED, J. Chem. Theory Comput. 12, 2260-2271 (2016).
N2 / cc-pVQZ / (6e,6o) active space
−109.2
−109.1
−109.0
−108.9
−108.8
−108.7
−108.6
1.0 1.5 2.0 2.5 3.0 3.5
ener
gy (E
h)
N−N bond length (Å)
CIPQG
- v2RDM can replace CI for describing active space
- two-particle N-representability conditions (PQG) provide qualitative accuracy
- three-particle conditions (T1T2) provide quantitative accuracy
variational 2-RDM-driven CASSCF
Fosso-Tande, Nguyen, Gidofalvi, AED, J. Chem. Theory Comput. 12, 2260-2271 (2016).
N2 / cc-pVQZ / (6e,6o) active space
−109.2
−109.1
−109.0
−108.9
−108.8
−108.7
−108.6
1.0 1.5 2.0 2.5 3.0 3.5
ener
gy (E
h)
N−N bond length (Å)
CIPQG
PQG+T1T2
−0.020
−0.015
−0.010
−0.005
0.000
1.0 1.5 2.0 2.5 3.0 3.5
erro
r (E h
)N−N bond length (Å)
- two-particle N-representability conditions (PQG) provide qualitative accuracy
- v2RDM can replace CI for describing active space
huge active spaces!
0
10
20
30
40
50
60
70
2 3 4 5 6 7 8 9 10 11 12
sing
let-t
riple
t gap
(kca
l mol
-1)
k-acene
PQG (cc-pVDZ)PQG (cc-pVTZ)
DMRG (DZ)experiment
huge active spaces!
- v2RDM-CASSCF with two-particle conditions (PQG) can treat HUGE active spaces
dodecacene: (50e,50o) CASSCF, 1892 orbitals (cc-pVTZ)
conventional (CI-driven) codes are useless beyond 4-acene: (18,18) active space
- performance of PQG is comparable to other state-of-the-art CASSCF-like methods like density-matrix renormalization group (DMRG) … for this problem … other cases require T2
to cross this line,abandon CI-CASSCF
CASSCF (18e,18o)
DMRG results from: J. Hachmann, J.J. Dorando, M. Avils, and G.K.-L. Chan, J. Chem. Phys. 127, 134309 (2007)
Fosso-Tande, Nguyen, Gidofalvi, AED, J. Chem. Theory Comput. 12, 2260-2271 (2016).
0
10
20
30
40
50
60
70
2 3 4 5 6 7 8 9 10 11 12
sing
let-t
riple
t gap
(kca
l mol
-1)
k-acene
PQG (cc-pVDZ)PQG (cc-pVTZ)
DMRG (DZ)experiment
performance?
dodecacene: (50e,50o) CASSCF, 840 orbitals (cc-pVDZ)
conventional (CI-driven) codes are useless beyond 4-acene: (18,18) active space
to cross this line,abandon CI-CASSCF
CASSCF (18e,18o)
0
10
20
30
40
50
60
70
2 3 4 5 6 7 8 9 10 11 12
sing
let-t
riple
t gap
(kca
l mol
-1)
k-acene
PQG (cc-pVDZ)PQG (cc-pVTZ)
DMRG (DZ)experiment
performance?
dodecacene: (50e,50o) CASSCF, 840 orbitals (cc-pVDZ)
conventional (CI-driven) codes are useless beyond 4-acene: (18,18) active space
to cross this line,abandon CI-CASSCF
CASSCF (18e,18o)CPU: core i7-6830k (6 cores) 3.2 hours
3.7x faster!!Mullinax, Koulias, Maradzike, Gidofalvi, Epifanovsky, AED, under revision.
GPU: NVIDIA Quadro GP100 0.9 hours
signatures of polyradical character in polyacenes
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
0 5 10 15 20 25 30 35 40 45 50
occu
patio
n
natural orbital number
(a) 2−acene3−acene4−acene5−acene6−acene7−acene8−acene9−acene
10−acene11−acene12−acene
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
1 2 3 4 5 6 7 8 9 10 11 12
occu
patio
n
k−acene
(b)b1ub2gb3gau
- natural orbital occupation numbers convey the onset of polyradical behavior in larger acenes
- linear polyacenes have a history of conflicting predictions from quantum chemical methods (most of which is resolved)
Fosso-Tande, Nguyen, Gidofalvi, AED, J. Chem. Theory Comput. 12, 2260-2271 (2016).
signatures of polyradical character in polyacenes
Mullinax, Gidofalvi, Epifanovsky and AED, J. Chem. Theory Comput. 15, 276-289 (2019).
- geometric signatures of polyradical character include(i) larger bond length alternation (BLA) toward ends of molecule than in the middle
signatures of polyradical character in polyacenes
Mullinax, Gidofalvi, Epifanovsky and AED, J. Chem. Theory Comput. 15, 276-289 (2019).
- geometric signatures of polyradical character include(i) larger bond length alternation (BLA) toward ends of molecule than in the middle (ii) increasingly similar structures for the lowest-energy singlet and triplet
0.000
0.010
0.020
0.030
0.040
0.050
2 3 4 5 6 7 8 9 10 11 12
RM
S di
ffere
nce
in C−C
bon
d le
ngth
s (Å
)
k−acene
PQGRB3LYPUB3LYP
signatures of polyradical character in polyacenes
Mullinax, Gidofalvi, Epifanovsky and AED, J. Chem. Theory Comput. 15, 276-289 (2019).
0.000
0.010
0.020
0.030
0.040
0.050
2 3 4 5 6 7 8 9 10 11 12
RM
S di
ffere
nce
in C−C
bon
d le
ngth
s (Å
)
k−acene
PQGRB3LYPUB3LYP
- geometric signatures of polyradical character include(i) larger bond length alternation (BLA) toward ends of molecule than in the middle (ii) increasingly similar structures for the lowest-energy singlet and triplet
several recent studies suggest that even large CASSCF gets this system wrong …
polyradical character is overestimated unless the σ network is also correlated
moving beyond the ground state
obvious problem: v2RDM methods can treat only ground states
next goal: v2RDM-CASSCF description of electronic excited states
extended random phase approximation (ERPA)equations include only one-electron excitations from the corre-lated ground state, such that they formulate a generalized eigen-value problem in terms of the first-order density matrix (1DM)and second-order density matrix (2DM). We can thus apply thismethod to calculate approximate excitation energies from 2DM’sobtained from the variational 2DM (v2DM) method [13–15]. Thisidea forms an alternative to direct variational optimization of theexcited state 2DM, which would require non-trivial excited-stateN-representability conditions. We shall call this method the ‘Ex-tended RPA’ (ERPA) method, in accordance with the work of Pernal[8]. The ERPA method differs from similar methods previously ap-plied to the variationally optimized 2DM’s [12,13] because it doesnot require an approximation to the 3DM.
More specifically, this paper examines the main motivation forusing ERPA over RPA – the inclusion of correlation effects – and itspossible limitations due to two approximations:
! The input 2DM’s in general are not exact, may represent anensemble of states and may not be N-representable.! The ERPA method truncates the description of the excited states
by including only one-electron excitations from the correlatedground state.
Section 4 first of all demonstrates the effect of correlation,ensemble nature, and N-representability errors on the ERPA spec-trum by comparing the ERPA results from uncorrelated and varia-tionally optimized 2DM’s with those from exact 2DM’s; andsecondly demonstrates the effect of the approximations made inthe ERPA method itself by comparing the ERPA spectra to exactand experimentally determined spectra. Section 2 first presentsthe Equations of Motion in the present context and Section 3 com-ments on the details of our calculations.
2. The extended RPA method: a method to extract excitationenergies from ground-state 2DM
The original framework for the Equations of Motion for the RPAwas proposed by Rowe in the 1960s [2]. An exact excited statejWni ¼ bQ ynjW0i satisfies
bH; bQ ynh i
jW0i ¼ ðEn $ E0ÞbQ ynjW0i
Choosing the bra to be an arbitrary state bAyjW0i leads to a set ofequations
W0bA bH; bQ ynh i!!!
!!!W0
D E¼ ðEn $ E0Þ W0
bA bQ yn!!!
!!!W0
D E
Since bQ yn ¼ jWnihW0j, its Hermitian conjugate annihilates the groundstate
bQ njW0i ¼ 0
so the above equations can be cast in a more symmetrical, equiva-lent, form
W0bA; ½H; bQ yn'h i!!!
!!!W0
D E¼ ðEn $ E0Þ W0
bA; bQ ynh i!!!
!!!W0
D E
These are the Equations of Motion, which are in principle exact.However, in order to keep calculations tractable, the excitationoperators bQ yn can be approximated by one-body operators.
The usual RPA then makes an additional approximation: itevaluates the expectation values that occur in the EOM on anuncorrelated Hartree–Fock ground state W0. For such a state,the only terms in the excitation operator that lead to non-vanishing equations are hole-particle and particle-hole excitations,bQ yn ¼
PNh¼1PK
p¼Nþ1Xphaypah $ Yphayhap with N the number of electronsand K the single particle basis dimension. For a correlated ground
state, however, the form of the excitation operators can be general-ized to include all one-electron excitations, bQ yn ¼
PKij¼1cn
ijayj ai. Such
a generalized excitation operator leads to the ‘extended RPA’(ERPA) equationsX
ij
cnij W0 aykal; H;ayj ai
h ih i!!!!!!W0
D E¼ ðEn$E0Þ
X
ij
cnij W0 aykal;a
yj ai
h i!!!!!!W0
D E
ð1Þ
For an uncorrelated Hartree–Fock ground state, these equa-tions reduce to the usual RPA equations. For a correlated groundstate, they depend on the 1DM and 2DM. Even for the exactwave function they depend only on the 1DM and 2DM, whichis a consequence of the one-electron description of the excitationoperator. This generalized eigenvalue problem can thus besolved to obtain approximate excitation energies !n = En $ E0
and the corresponding expansion coefficients of the excitedstates, cn
ij.Like the RPA excitation energies, the ERPA excitation energies
come in pairs (!n, $ !n) due to the special symmetry of the commu-tator matrices. The double commutator matrix on the left-handside and the single-commutator matrix on the right hand side ofEq. (1) are symmetric
W0 aykal; H; ayj ai
h ih i!!!!!!W0
D E¼ W0 ayi aj; H; ayl ak
h ih i!!!!!!W0
D E
W0 aykal; ayj ai
h i!!!!!!W0
D E¼ W0 ayi aj; a
yl ak
" #!! !!W0$ % ð2Þ
and have the additional symmetry
W0 aykal; H; ayj ai
h ih i!!!!!!W0
D E¼ W0 ayl ak; H; ayi aj
h ih i!!!!!!W0
D E
W0 aykal; ayj ai
h i!!!!!!W0
D E¼ $ W0 ayl ak; a
yi aj
" #!! !!W0$ % ð3Þ
These symmetry properties lead to pairs of eigenvalues (!n, $!n) inthe ERPA spectrum.
When the ground state W0 is the exact ground state, thedouble commutator matrix is also positive semi-definite: sinceany state of the form
Pijcija
yj aijW0i has higher energy than the
ground stateX
ijkl
c)kl W0 aykal; H; ayj ai
h ih i!!!!!!W0
D Ecij ¼
X
ijkl
c)kl W0 aykalðH $ E0Þayj ai
!!!!!!W0
D Ecij ð4Þ
þX
ijkl
c)kl W0 ayj aiðH $ E0Þaykal
!!!!!!W0
D Ecij
P 0 ð5Þ
3. Computational details
We used GAMESS [16] to carry out the full diagonalization ofthe CI matrix to obtain the FCI ground state and its exact excitationenergies and subsequently calculated the FCI ground-state 2DMwith our own routines. We computed the variationally optimizedsecond-order density matrices by means of a logarithmic barriermethod [17]. In the variational optimization, we constrained the2DM to have the correct normalization and to satisfy the 2-positiv-ity conditions [17] but did not impose explicit spin conditions [18].The approximate excitation energies for these 2DM’s then followfrom the generalized eigenvalue problem (1). We solved this gen-eralized eigenvalue problem using LAPACK’s dggev routine [19],which yields the generalized eigenvalues as ratio’s a/b. Singulari-ties in the metric matrix on the right hand side of Eq. (1) may giverise to eigenvalues a/0, but these are do not correspond to physicalexcitation energies.
All calculations use the Cartesian cc-pVDZ basis set as listed onthe EMSL Basis Set Exchange [20,21], except for the calculations onthe noble gases, which use the Cartesian aug-cc-pVTZ basis
H. van Aggelen et al. / Computational and Theoretical Chemistry 1003 (2013) 50–54 51
| ni =X
ij
cnij a†j ai| 0i
depends on 2-RDM depends on 1-RDM
extended random phase approximation (ERPA)equations include only one-electron excitations from the corre-lated ground state, such that they formulate a generalized eigen-value problem in terms of the first-order density matrix (1DM)and second-order density matrix (2DM). We can thus apply thismethod to calculate approximate excitation energies from 2DM’sobtained from the variational 2DM (v2DM) method [13–15]. Thisidea forms an alternative to direct variational optimization of theexcited state 2DM, which would require non-trivial excited-stateN-representability conditions. We shall call this method the ‘Ex-tended RPA’ (ERPA) method, in accordance with the work of Pernal[8]. The ERPA method differs from similar methods previously ap-plied to the variationally optimized 2DM’s [12,13] because it doesnot require an approximation to the 3DM.
More specifically, this paper examines the main motivation forusing ERPA over RPA – the inclusion of correlation effects – and itspossible limitations due to two approximations:
! The input 2DM’s in general are not exact, may represent anensemble of states and may not be N-representable.! The ERPA method truncates the description of the excited states
by including only one-electron excitations from the correlatedground state.
Section 4 first of all demonstrates the effect of correlation,ensemble nature, and N-representability errors on the ERPA spec-trum by comparing the ERPA results from uncorrelated and varia-tionally optimized 2DM’s with those from exact 2DM’s; andsecondly demonstrates the effect of the approximations made inthe ERPA method itself by comparing the ERPA spectra to exactand experimentally determined spectra. Section 2 first presentsthe Equations of Motion in the present context and Section 3 com-ments on the details of our calculations.
2. The extended RPA method: a method to extract excitationenergies from ground-state 2DM
The original framework for the Equations of Motion for the RPAwas proposed by Rowe in the 1960s [2]. An exact excited statejWni ¼ bQ ynjW0i satisfies
bH; bQ ynh i
jW0i ¼ ðEn $ E0ÞbQ ynjW0i
Choosing the bra to be an arbitrary state bAyjW0i leads to a set ofequations
W0bA bH; bQ ynh i!!!
!!!W0
D E¼ ðEn $ E0Þ W0
bA bQ yn!!!
!!!W0
D E
Since bQ yn ¼ jWnihW0j, its Hermitian conjugate annihilates the groundstate
bQ njW0i ¼ 0
so the above equations can be cast in a more symmetrical, equiva-lent, form
W0bA; ½H; bQ yn'h i!!!
!!!W0
D E¼ ðEn $ E0Þ W0
bA; bQ ynh i!!!
!!!W0
D E
These are the Equations of Motion, which are in principle exact.However, in order to keep calculations tractable, the excitationoperators bQ yn can be approximated by one-body operators.
The usual RPA then makes an additional approximation: itevaluates the expectation values that occur in the EOM on anuncorrelated Hartree–Fock ground state W0. For such a state,the only terms in the excitation operator that lead to non-vanishing equations are hole-particle and particle-hole excitations,bQ yn ¼
PNh¼1PK
p¼Nþ1Xphaypah $ Yphayhap with N the number of electronsand K the single particle basis dimension. For a correlated ground
state, however, the form of the excitation operators can be general-ized to include all one-electron excitations, bQ yn ¼
PKij¼1cn
ijayj ai. Such
a generalized excitation operator leads to the ‘extended RPA’(ERPA) equationsX
ij
cnij W0 aykal; H;ayj ai
h ih i!!!!!!W0
D E¼ ðEn$E0Þ
X
ij
cnij W0 aykal;a
yj ai
h i!!!!!!W0
D E
ð1Þ
For an uncorrelated Hartree–Fock ground state, these equa-tions reduce to the usual RPA equations. For a correlated groundstate, they depend on the 1DM and 2DM. Even for the exactwave function they depend only on the 1DM and 2DM, whichis a consequence of the one-electron description of the excitationoperator. This generalized eigenvalue problem can thus besolved to obtain approximate excitation energies !n = En $ E0
and the corresponding expansion coefficients of the excitedstates, cn
ij.Like the RPA excitation energies, the ERPA excitation energies
come in pairs (!n, $ !n) due to the special symmetry of the commu-tator matrices. The double commutator matrix on the left-handside and the single-commutator matrix on the right hand side ofEq. (1) are symmetric
W0 aykal; H; ayj ai
h ih i!!!!!!W0
D E¼ W0 ayi aj; H; ayl ak
h ih i!!!!!!W0
D E
W0 aykal; ayj ai
h i!!!!!!W0
D E¼ W0 ayi aj; a
yl ak
" #!! !!W0$ % ð2Þ
and have the additional symmetry
W0 aykal; H; ayj ai
h ih i!!!!!!W0
D E¼ W0 ayl ak; H; ayi aj
h ih i!!!!!!W0
D E
W0 aykal; ayj ai
h i!!!!!!W0
D E¼ $ W0 ayl ak; a
yi aj
" #!! !!W0$ % ð3Þ
These symmetry properties lead to pairs of eigenvalues (!n, $!n) inthe ERPA spectrum.
When the ground state W0 is the exact ground state, thedouble commutator matrix is also positive semi-definite: sinceany state of the form
Pijcija
yj aijW0i has higher energy than the
ground stateX
ijkl
c)kl W0 aykal; H; ayj ai
h ih i!!!!!!W0
D Ecij ¼
X
ijkl
c)kl W0 aykalðH $ E0Þayj ai
!!!!!!W0
D Ecij ð4Þ
þX
ijkl
c)kl W0 ayj aiðH $ E0Þaykal
!!!!!!W0
D Ecij
P 0 ð5Þ
3. Computational details
We used GAMESS [16] to carry out the full diagonalization ofthe CI matrix to obtain the FCI ground state and its exact excitationenergies and subsequently calculated the FCI ground-state 2DMwith our own routines. We computed the variationally optimizedsecond-order density matrices by means of a logarithmic barriermethod [17]. In the variational optimization, we constrained the2DM to have the correct normalization and to satisfy the 2-positiv-ity conditions [17] but did not impose explicit spin conditions [18].The approximate excitation energies for these 2DM’s then followfrom the generalized eigenvalue problem (1). We solved this gen-eralized eigenvalue problem using LAPACK’s dggev routine [19],which yields the generalized eigenvalues as ratio’s a/b. Singulari-ties in the metric matrix on the right hand side of Eq. (1) may giverise to eigenvalues a/0, but these are do not correspond to physicalexcitation energies.
All calculations use the Cartesian cc-pVDZ basis set as listed onthe EMSL Basis Set Exchange [20,21], except for the calculations onthe noble gases, which use the Cartesian aug-cc-pVTZ basis
H. van Aggelen et al. / Computational and Theoretical Chemistry 1003 (2013) 50–54 51
| ni =X
ij
cnij a†j ai| 0i
depends on 2-RDM depends on 1-RDM
previous efforts to combine v2RDM and ERPA were remarkably disappointingvan Aggelen et al., CTC, 1003, 50-54 (2013).
extended random phase approximation (ERPA)equations include only one-electron excitations from the corre-lated ground state, such that they formulate a generalized eigen-value problem in terms of the first-order density matrix (1DM)and second-order density matrix (2DM). We can thus apply thismethod to calculate approximate excitation energies from 2DM’sobtained from the variational 2DM (v2DM) method [13–15]. Thisidea forms an alternative to direct variational optimization of theexcited state 2DM, which would require non-trivial excited-stateN-representability conditions. We shall call this method the ‘Ex-tended RPA’ (ERPA) method, in accordance with the work of Pernal[8]. The ERPA method differs from similar methods previously ap-plied to the variationally optimized 2DM’s [12,13] because it doesnot require an approximation to the 3DM.
More specifically, this paper examines the main motivation forusing ERPA over RPA – the inclusion of correlation effects – and itspossible limitations due to two approximations:
! The input 2DM’s in general are not exact, may represent anensemble of states and may not be N-representable.! The ERPA method truncates the description of the excited states
by including only one-electron excitations from the correlatedground state.
Section 4 first of all demonstrates the effect of correlation,ensemble nature, and N-representability errors on the ERPA spec-trum by comparing the ERPA results from uncorrelated and varia-tionally optimized 2DM’s with those from exact 2DM’s; andsecondly demonstrates the effect of the approximations made inthe ERPA method itself by comparing the ERPA spectra to exactand experimentally determined spectra. Section 2 first presentsthe Equations of Motion in the present context and Section 3 com-ments on the details of our calculations.
2. The extended RPA method: a method to extract excitationenergies from ground-state 2DM
The original framework for the Equations of Motion for the RPAwas proposed by Rowe in the 1960s [2]. An exact excited statejWni ¼ bQ ynjW0i satisfies
bH; bQ ynh i
jW0i ¼ ðEn $ E0ÞbQ ynjW0i
Choosing the bra to be an arbitrary state bAyjW0i leads to a set ofequations
W0bA bH; bQ ynh i!!!
!!!W0
D E¼ ðEn $ E0Þ W0
bA bQ yn!!!
!!!W0
D E
Since bQ yn ¼ jWnihW0j, its Hermitian conjugate annihilates the groundstate
bQ njW0i ¼ 0
so the above equations can be cast in a more symmetrical, equiva-lent, form
W0bA; ½H; bQ yn'h i!!!
!!!W0
D E¼ ðEn $ E0Þ W0
bA; bQ ynh i!!!
!!!W0
D E
These are the Equations of Motion, which are in principle exact.However, in order to keep calculations tractable, the excitationoperators bQ yn can be approximated by one-body operators.
The usual RPA then makes an additional approximation: itevaluates the expectation values that occur in the EOM on anuncorrelated Hartree–Fock ground state W0. For such a state,the only terms in the excitation operator that lead to non-vanishing equations are hole-particle and particle-hole excitations,bQ yn ¼
PNh¼1PK
p¼Nþ1Xphaypah $ Yphayhap with N the number of electronsand K the single particle basis dimension. For a correlated ground
state, however, the form of the excitation operators can be general-ized to include all one-electron excitations, bQ yn ¼
PKij¼1cn
ijayj ai. Such
a generalized excitation operator leads to the ‘extended RPA’(ERPA) equationsX
ij
cnij W0 aykal; H;ayj ai
h ih i!!!!!!W0
D E¼ ðEn$E0Þ
X
ij
cnij W0 aykal;a
yj ai
h i!!!!!!W0
D E
ð1Þ
For an uncorrelated Hartree–Fock ground state, these equa-tions reduce to the usual RPA equations. For a correlated groundstate, they depend on the 1DM and 2DM. Even for the exactwave function they depend only on the 1DM and 2DM, whichis a consequence of the one-electron description of the excitationoperator. This generalized eigenvalue problem can thus besolved to obtain approximate excitation energies !n = En $ E0
and the corresponding expansion coefficients of the excitedstates, cn
ij.Like the RPA excitation energies, the ERPA excitation energies
come in pairs (!n, $ !n) due to the special symmetry of the commu-tator matrices. The double commutator matrix on the left-handside and the single-commutator matrix on the right hand side ofEq. (1) are symmetric
W0 aykal; H; ayj ai
h ih i!!!!!!W0
D E¼ W0 ayi aj; H; ayl ak
h ih i!!!!!!W0
D E
W0 aykal; ayj ai
h i!!!!!!W0
D E¼ W0 ayi aj; a
yl ak
" #!! !!W0$ % ð2Þ
and have the additional symmetry
W0 aykal; H; ayj ai
h ih i!!!!!!W0
D E¼ W0 ayl ak; H; ayi aj
h ih i!!!!!!W0
D E
W0 aykal; ayj ai
h i!!!!!!W0
D E¼ $ W0 ayl ak; a
yi aj
" #!! !!W0$ % ð3Þ
These symmetry properties lead to pairs of eigenvalues (!n, $!n) inthe ERPA spectrum.
When the ground state W0 is the exact ground state, thedouble commutator matrix is also positive semi-definite: sinceany state of the form
Pijcija
yj aijW0i has higher energy than the
ground stateX
ijkl
c)kl W0 aykal; H; ayj ai
h ih i!!!!!!W0
D Ecij ¼
X
ijkl
c)kl W0 aykalðH $ E0Þayj ai
!!!!!!W0
D Ecij ð4Þ
þX
ijkl
c)kl W0 ayj aiðH $ E0Þaykal
!!!!!!W0
D Ecij
P 0 ð5Þ
3. Computational details
We used GAMESS [16] to carry out the full diagonalization ofthe CI matrix to obtain the FCI ground state and its exact excitationenergies and subsequently calculated the FCI ground-state 2DMwith our own routines. We computed the variationally optimizedsecond-order density matrices by means of a logarithmic barriermethod [17]. In the variational optimization, we constrained the2DM to have the correct normalization and to satisfy the 2-positiv-ity conditions [17] but did not impose explicit spin conditions [18].The approximate excitation energies for these 2DM’s then followfrom the generalized eigenvalue problem (1). We solved this gen-eralized eigenvalue problem using LAPACK’s dggev routine [19],which yields the generalized eigenvalues as ratio’s a/b. Singulari-ties in the metric matrix on the right hand side of Eq. (1) may giverise to eigenvalues a/0, but these are do not correspond to physicalexcitation energies.
All calculations use the Cartesian cc-pVDZ basis set as listed onthe EMSL Basis Set Exchange [20,21], except for the calculations onthe noble gases, which use the Cartesian aug-cc-pVTZ basis
H. van Aggelen et al. / Computational and Theoretical Chemistry 1003 (2013) 50–54 51
| ni =X
ij
cnij a†j ai| 0i
depends on 2-RDM depends on 1-RDM
previous efforts to combine v2RDM and ERPA were remarkably disappointing
HeLiBeBCNOFNe
0.00-0.01-0.01-0.40-0.85-0.88-1.61-1.59-0.49
0.000.010.002.677.213.396.87
11.31-0.05
errors in ground-state (v2RDM) and excitation(ERPA) energies (eV), relative to full CI:
ground state excitation energy
van Aggelen et al., CTC, 1003, 50-54 (2013).
extended random phase approximation (ERPA)equations include only one-electron excitations from the corre-lated ground state, such that they formulate a generalized eigen-value problem in terms of the first-order density matrix (1DM)and second-order density matrix (2DM). We can thus apply thismethod to calculate approximate excitation energies from 2DM’sobtained from the variational 2DM (v2DM) method [13–15]. Thisidea forms an alternative to direct variational optimization of theexcited state 2DM, which would require non-trivial excited-stateN-representability conditions. We shall call this method the ‘Ex-tended RPA’ (ERPA) method, in accordance with the work of Pernal[8]. The ERPA method differs from similar methods previously ap-plied to the variationally optimized 2DM’s [12,13] because it doesnot require an approximation to the 3DM.
More specifically, this paper examines the main motivation forusing ERPA over RPA – the inclusion of correlation effects – and itspossible limitations due to two approximations:
! The input 2DM’s in general are not exact, may represent anensemble of states and may not be N-representable.! The ERPA method truncates the description of the excited states
by including only one-electron excitations from the correlatedground state.
Section 4 first of all demonstrates the effect of correlation,ensemble nature, and N-representability errors on the ERPA spec-trum by comparing the ERPA results from uncorrelated and varia-tionally optimized 2DM’s with those from exact 2DM’s; andsecondly demonstrates the effect of the approximations made inthe ERPA method itself by comparing the ERPA spectra to exactand experimentally determined spectra. Section 2 first presentsthe Equations of Motion in the present context and Section 3 com-ments on the details of our calculations.
2. The extended RPA method: a method to extract excitationenergies from ground-state 2DM
The original framework for the Equations of Motion for the RPAwas proposed by Rowe in the 1960s [2]. An exact excited statejWni ¼ bQ ynjW0i satisfies
bH; bQ ynh i
jW0i ¼ ðEn $ E0ÞbQ ynjW0i
Choosing the bra to be an arbitrary state bAyjW0i leads to a set ofequations
W0bA bH; bQ ynh i!!!
!!!W0
D E¼ ðEn $ E0Þ W0
bA bQ yn!!!
!!!W0
D E
Since bQ yn ¼ jWnihW0j, its Hermitian conjugate annihilates the groundstate
bQ njW0i ¼ 0
so the above equations can be cast in a more symmetrical, equiva-lent, form
W0bA; ½H; bQ yn'h i!!!
!!!W0
D E¼ ðEn $ E0Þ W0
bA; bQ ynh i!!!
!!!W0
D E
These are the Equations of Motion, which are in principle exact.However, in order to keep calculations tractable, the excitationoperators bQ yn can be approximated by one-body operators.
The usual RPA then makes an additional approximation: itevaluates the expectation values that occur in the EOM on anuncorrelated Hartree–Fock ground state W0. For such a state,the only terms in the excitation operator that lead to non-vanishing equations are hole-particle and particle-hole excitations,bQ yn ¼
PNh¼1PK
p¼Nþ1Xphaypah $ Yphayhap with N the number of electronsand K the single particle basis dimension. For a correlated ground
state, however, the form of the excitation operators can be general-ized to include all one-electron excitations, bQ yn ¼
PKij¼1cn
ijayj ai. Such
a generalized excitation operator leads to the ‘extended RPA’(ERPA) equationsX
ij
cnij W0 aykal; H;ayj ai
h ih i!!!!!!W0
D E¼ ðEn$E0Þ
X
ij
cnij W0 aykal;a
yj ai
h i!!!!!!W0
D E
ð1Þ
For an uncorrelated Hartree–Fock ground state, these equa-tions reduce to the usual RPA equations. For a correlated groundstate, they depend on the 1DM and 2DM. Even for the exactwave function they depend only on the 1DM and 2DM, whichis a consequence of the one-electron description of the excitationoperator. This generalized eigenvalue problem can thus besolved to obtain approximate excitation energies !n = En $ E0
and the corresponding expansion coefficients of the excitedstates, cn
ij.Like the RPA excitation energies, the ERPA excitation energies
come in pairs (!n, $ !n) due to the special symmetry of the commu-tator matrices. The double commutator matrix on the left-handside and the single-commutator matrix on the right hand side ofEq. (1) are symmetric
W0 aykal; H; ayj ai
h ih i!!!!!!W0
D E¼ W0 ayi aj; H; ayl ak
h ih i!!!!!!W0
D E
W0 aykal; ayj ai
h i!!!!!!W0
D E¼ W0 ayi aj; a
yl ak
" #!! !!W0$ % ð2Þ
and have the additional symmetry
W0 aykal; H; ayj ai
h ih i!!!!!!W0
D E¼ W0 ayl ak; H; ayi aj
h ih i!!!!!!W0
D E
W0 aykal; ayj ai
h i!!!!!!W0
D E¼ $ W0 ayl ak; a
yi aj
" #!! !!W0$ % ð3Þ
These symmetry properties lead to pairs of eigenvalues (!n, $!n) inthe ERPA spectrum.
When the ground state W0 is the exact ground state, thedouble commutator matrix is also positive semi-definite: sinceany state of the form
Pijcija
yj aijW0i has higher energy than the
ground stateX
ijkl
c)kl W0 aykal; H; ayj ai
h ih i!!!!!!W0
D Ecij ¼
X
ijkl
c)kl W0 aykalðH $ E0Þayj ai
!!!!!!W0
D Ecij ð4Þ
þX
ijkl
c)kl W0 ayj aiðH $ E0Þaykal
!!!!!!W0
D Ecij
P 0 ð5Þ
3. Computational details
We used GAMESS [16] to carry out the full diagonalization ofthe CI matrix to obtain the FCI ground state and its exact excitationenergies and subsequently calculated the FCI ground-state 2DMwith our own routines. We computed the variationally optimizedsecond-order density matrices by means of a logarithmic barriermethod [17]. In the variational optimization, we constrained the2DM to have the correct normalization and to satisfy the 2-positiv-ity conditions [17] but did not impose explicit spin conditions [18].The approximate excitation energies for these 2DM’s then followfrom the generalized eigenvalue problem (1). We solved this gen-eralized eigenvalue problem using LAPACK’s dggev routine [19],which yields the generalized eigenvalues as ratio’s a/b. Singulari-ties in the metric matrix on the right hand side of Eq. (1) may giverise to eigenvalues a/0, but these are do not correspond to physicalexcitation energies.
All calculations use the Cartesian cc-pVDZ basis set as listed onthe EMSL Basis Set Exchange [20,21], except for the calculations onthe noble gases, which use the Cartesian aug-cc-pVTZ basis
H. van Aggelen et al. / Computational and Theoretical Chemistry 1003 (2013) 50–54 51
| ni =X
ij
cnij a†j ai| 0i
depends on 2-RDM depends on 1-RDM
previous efforts to combine v2RDM and ERPA were remarkably disappointing
HeLiBeBCNOFNe
0.00-0.01-0.01-0.40-0.85-0.88-1.61-1.59-0.49
0.000.010.002.677.213.396.87
11.31-0.05
errors in ground-state (v2RDM) and excitation(ERPA) energies (eV), relative to full CI:
ground state excitation energy
for open-shell atoms, errors in excitation energies are 10 x larger than errors in the ground state!
what is happening???
van Aggelen et al., CTC, 1003, 50-54 (2013).
2s2 ! 2s12p1
2s1 ! 2p1
2s22p1 ! 2s12p2
2s22p2 ! 2s12p3
Li
Be
B
C
full CIPQG
2.0 2.5 3.0 3.5 4.0 4.5energy (eV)
failures of v2RDM / ERPA
consider low-lying excitations in several second row atoms / STO-3G basis set
2s2 ! 2s12p1
2s1 ! 2p1
2s22p1 ! 2s12p2
2s22p2 ! 2s12p3
Li
Be
B
C
full CIPQG
2.0 2.5 3.0 3.5 4.0 4.5energy (eV)
failures of v2RDM / ERPA
consider low-lying excitations in several second row atoms / STO-3G basis set
Li
Be
B
C
full CIPQG
2.0 2.5 3.0 3.5 4.0 4.5energy (eV)
v2RDM ground state density represents and ensemble of these states
consider low-lying excitations in several second row atoms / STO-3G basis set
failures of v2RDM / ERPA
ensemble N-representability conditions
- complete ensemble-state N-representability conditions for the 1-RDM
0 �i 1 A.J. Coleman, Rev. Mod. Phys. 35, 668-686 (1963).
X
i
�i = N
natural spin-orbital occupation numbers (eigenvalues of 1-RDM) must lie between 0 and 1
pure-state N-representability conditions
- pure-state conditions: “generalized Pauli constraints”
pure-state N-representability conditions
known empirically: 3 electrons in 6 orbitals:
R.E. Borland and K. Dennis, J. Phys. B: At. Mol. Phys. 5, 7 (1972)
�1 + �6 = 1
�2 + �5 = 1
�3 + �4 = 1
�4 � �5 � �6 0
�i � �i+1
1972 - 2008 … this is the only set of pure-state conditions known
- pure-state conditions: “generalized Pauli constraints”
pure-state N-representability conditions
2008: M. Altunbulak and A. Klyachko, Commun. Math. Phys. 282, 287 (2008).
- pure-state conditions: “generalized Pauli constraints”
�1 + �6 = 1
�2 + �5 = 1
�3 + �4 = 1
�4 � �5 � �6 0
3 electrons 6 spin orbitals4 constraints
The Pauli Principle Revisited 319
Table 3. N -representability inequalities for system ∧4H8
Inequalities v ∈ S8 w ∈ S70 cvw(a)
λ1 ≤ 1 (1) (1) 1λ5 − λ6 − λ7 − λ8 ≤ 0 (1 5 4 3 2) 1λ1 − λ2 − λ7 − λ8 ≤ 0 (2 3 4 5 6) 1λ1 − λ3 − λ6 − λ8 ≤ 0 (3 4 5 7 6) 1λ1 − λ4 − λ6 − λ7 ≤ 0 (4 5 8 7 6) (1 2 3 4 5) 1λ1 − λ4 − λ5 − λ8 ≤ 0 (4 6)(5 7) 1λ3 − λ4 − λ7 − λ8 ≤ 0 (1 3 2)(4 5 6) 1λ2 − λ4 − λ6 − λ8 ≤ 0 (1 2)(4 5 7 6) 1λ2 + λ3 + λ5 − λ8 ≤ 2 (1 2 3 5 4) 1λ1 + λ3 + λ6 − λ8 ≤ 2 (2 3 6 5 4) 1λ1 + λ2 + λ7 − λ8 ≤ 2 (3 7 6 5 4) 1λ1 + λ2 + λ3 − λ4 ≤ 2 (4 5 6 7 8) (1 2 3 4 5) 1λ1 + λ4 + λ5 − λ8 ≤ 2 (2 4)(3 5) 1λ1 + λ2 + λ5 − λ6 ≤ 2 (3 5 4)(6 7 8) 1λ1 + λ3 + λ5 − λ7 ≤ 2 (2 3 5 4)(7 8) 1
Table 4. N -representability inequalities for system ∧3H8
Inequalities v ∈ S8 w ∈ S56 cvw(a)
λ2 + λ3 + λ4 + λ5 ≤ 2 (1 2 3 4 5) 1λ1 + λ2 + λ4 + λ7 ≤ 2 (3 4 7 6 5) (1 2 3 4 5) 1λ1 + λ3 + λ4 + λ6 ≤ 2 (2 3 4 6 5) 1λ1 + λ2 + λ5 + λ6 ≤ 2 (3 5)(4 6) 1λ1 + λ2 − λ3 ≤ 1 (3 4 5 6 7 8) 1λ2 + λ5 − λ7 ≤ 1 (1 2 5 4 3)(7 8) 1λ1 + λ6 − λ7 ≤ 1 (2 6 5 4 3)(7 8) (1 2 3 4 5 6) 1λ2 + λ4 − λ6 ≤ 1 (1 2 4 3)(6 7 8) 1λ1 + λ4 − λ5 ≤ 1 (2 4 3)(5 6 7 8) 1λ3 + λ4 − λ7 ≤ 1 (1 3)(2 4)(7 8) 1λ1 + λ8 ≤ 1 (2 8 7 6 5 4 3) (1 2 3 4 5 6 7) 1λ2 − λ3 − λ6 − λ7 ≤ 0 (1 2)(3 4 5 8 7 6) 1λ4 − λ5 − λ6 − λ7 ≤ 0 (1 4 3 2)(5 8 7 6) (1 2 3 4 5 6 7) 1λ1 − λ3 − λ5 − λ7 ≤ 0 (3 4 6)(5 8 7) 1λ2 + λ3 + 2λ4 − λ5 − λ7 + λ8 ≤ 2 (1 4 8 7 5) 1λ1 + λ3 + 2λ4 − λ5 − λ6 + λ8 ≤ 2 (1 4 8 6 7 5 2) (1 2 3 . . . 10 11) 1λ1 + 2λ2 − λ3 + λ4 − λ5 + λ8 ≤ 2 (1 2)(3 4 8 5 6 7) 1λ1 + 2λ2 − λ3 + λ5 − λ6 + λ8 ≤ 2 (1 2)(3 5 4 8 6 7) 1λ1 + λ2 − 2λ3 − λ4 − λ5 ≤ 0 (3 6 4 7 5 8) (1 2 3 . . . 11 12) 1λ1 − λ2 − λ3 + λ6 − 2λ7 ≤ 0 (2 6)(3 4 5 8 7) 1λ1 − λ3 − λ4 − λ5 + λ8 ≤ 0 (2 8 5 7 4 6 3) (1 2 3 . . . 12 13) 1λ1 − λ2 − λ3 − λ7 + λ8 ≤ 0 (2 8 7 3 4 5 6) 12λ1 − λ2 + λ4 − 2λ5 − λ6 + λ8 ≤ 1 (2 4 3 8 5 7 6) 1λ3 + 2λ4 − 2λ5 − λ6 − λ7 + λ8 ≤ 1 (1 4)(2 3 8 5) 12λ1 − λ2 − λ4 + λ6 − 2λ7 + λ8 ≤ 1 (2 6)(3 8 7 4) (1 2 3 . . . 12 13) 12λ1 + λ2 − 2λ3 − λ4 − λ6 + λ8 ≤ 1 (3 8)(4 5 7 6) 1λ1 + 2λ2 − 2λ3 − λ5 − λ6 + λ8 ≤ 1 (1 2)(3 8)(5 7 6) 12λ1 − 2λ2 − λ3 − λ4 + λ6 − 3λ7 + λ8 ≤ 0 (2 6 4 5 3 8 7) 1−λ1 + λ3 + 2λ4 − 3λ5 − 2λ6 − λ7 + λ8 ≤ 0 (1 4 2 3 8 5)(6 7) (1 2 3 . . . 14 15) 12λ1 + λ2 − 3λ3 − 2λ4 − λ5 − λ6 + λ8 ≤ 0 (3 8)(4 7) 1λ1 + 2λ2 − 3λ3 − λ4 − 2λ5 − λ6 + λ8 ≤ 0 (1 2)(3 8)(4 7 5) 1
Adding this vertex gives a polytope P where all facets are covered by Theorem 2. ThusP is the genuine moment polytope for ∧3H8 given by 31 independent inequalities listedin Table 4.
3 electrons 8 spin orbitals14 constraints
The Pauli Principle Revisited 319
Table 3. N -representability inequalities for system ∧4H8
Inequalities v ∈ S8 w ∈ S70 cvw(a)
λ1 ≤ 1 (1) (1) 1λ5 − λ6 − λ7 − λ8 ≤ 0 (1 5 4 3 2) 1λ1 − λ2 − λ7 − λ8 ≤ 0 (2 3 4 5 6) 1λ1 − λ3 − λ6 − λ8 ≤ 0 (3 4 5 7 6) 1λ1 − λ4 − λ6 − λ7 ≤ 0 (4 5 8 7 6) (1 2 3 4 5) 1λ1 − λ4 − λ5 − λ8 ≤ 0 (4 6)(5 7) 1λ3 − λ4 − λ7 − λ8 ≤ 0 (1 3 2)(4 5 6) 1λ2 − λ4 − λ6 − λ8 ≤ 0 (1 2)(4 5 7 6) 1λ2 + λ3 + λ5 − λ8 ≤ 2 (1 2 3 5 4) 1λ1 + λ3 + λ6 − λ8 ≤ 2 (2 3 6 5 4) 1λ1 + λ2 + λ7 − λ8 ≤ 2 (3 7 6 5 4) 1λ1 + λ2 + λ3 − λ4 ≤ 2 (4 5 6 7 8) (1 2 3 4 5) 1λ1 + λ4 + λ5 − λ8 ≤ 2 (2 4)(3 5) 1λ1 + λ2 + λ5 − λ6 ≤ 2 (3 5 4)(6 7 8) 1λ1 + λ3 + λ5 − λ7 ≤ 2 (2 3 5 4)(7 8) 1
Table 4. N -representability inequalities for system ∧3H8
Inequalities v ∈ S8 w ∈ S56 cvw(a)
λ2 + λ3 + λ4 + λ5 ≤ 2 (1 2 3 4 5) 1λ1 + λ2 + λ4 + λ7 ≤ 2 (3 4 7 6 5) (1 2 3 4 5) 1λ1 + λ3 + λ4 + λ6 ≤ 2 (2 3 4 6 5) 1λ1 + λ2 + λ5 + λ6 ≤ 2 (3 5)(4 6) 1λ1 + λ2 − λ3 ≤ 1 (3 4 5 6 7 8) 1λ2 + λ5 − λ7 ≤ 1 (1 2 5 4 3)(7 8) 1λ1 + λ6 − λ7 ≤ 1 (2 6 5 4 3)(7 8) (1 2 3 4 5 6) 1λ2 + λ4 − λ6 ≤ 1 (1 2 4 3)(6 7 8) 1λ1 + λ4 − λ5 ≤ 1 (2 4 3)(5 6 7 8) 1λ3 + λ4 − λ7 ≤ 1 (1 3)(2 4)(7 8) 1λ1 + λ8 ≤ 1 (2 8 7 6 5 4 3) (1 2 3 4 5 6 7) 1λ2 − λ3 − λ6 − λ7 ≤ 0 (1 2)(3 4 5 8 7 6) 1λ4 − λ5 − λ6 − λ7 ≤ 0 (1 4 3 2)(5 8 7 6) (1 2 3 4 5 6 7) 1λ1 − λ3 − λ5 − λ7 ≤ 0 (3 4 6)(5 8 7) 1λ2 + λ3 + 2λ4 − λ5 − λ7 + λ8 ≤ 2 (1 4 8 7 5) 1λ1 + λ3 + 2λ4 − λ5 − λ6 + λ8 ≤ 2 (1 4 8 6 7 5 2) (1 2 3 . . . 10 11) 1λ1 + 2λ2 − λ3 + λ4 − λ5 + λ8 ≤ 2 (1 2)(3 4 8 5 6 7) 1λ1 + 2λ2 − λ3 + λ5 − λ6 + λ8 ≤ 2 (1 2)(3 5 4 8 6 7) 1λ1 + λ2 − 2λ3 − λ4 − λ5 ≤ 0 (3 6 4 7 5 8) (1 2 3 . . . 11 12) 1λ1 − λ2 − λ3 + λ6 − 2λ7 ≤ 0 (2 6)(3 4 5 8 7) 1λ1 − λ3 − λ4 − λ5 + λ8 ≤ 0 (2 8 5 7 4 6 3) (1 2 3 . . . 12 13) 1λ1 − λ2 − λ3 − λ7 + λ8 ≤ 0 (2 8 7 3 4 5 6) 12λ1 − λ2 + λ4 − 2λ5 − λ6 + λ8 ≤ 1 (2 4 3 8 5 7 6) 1λ3 + 2λ4 − 2λ5 − λ6 − λ7 + λ8 ≤ 1 (1 4)(2 3 8 5) 12λ1 − λ2 − λ4 + λ6 − 2λ7 + λ8 ≤ 1 (2 6)(3 8 7 4) (1 2 3 . . . 12 13) 12λ1 + λ2 − 2λ3 − λ4 − λ6 + λ8 ≤ 1 (3 8)(4 5 7 6) 1λ1 + 2λ2 − 2λ3 − λ5 − λ6 + λ8 ≤ 1 (1 2)(3 8)(5 7 6) 12λ1 − 2λ2 − λ3 − λ4 + λ6 − 3λ7 + λ8 ≤ 0 (2 6 4 5 3 8 7) 1−λ1 + λ3 + 2λ4 − 3λ5 − 2λ6 − λ7 + λ8 ≤ 0 (1 4 2 3 8 5)(6 7) (1 2 3 . . . 14 15) 12λ1 + λ2 − 3λ3 − 2λ4 − λ5 − λ6 + λ8 ≤ 0 (3 8)(4 7) 1λ1 + 2λ2 − 3λ3 − λ4 − 2λ5 − λ6 + λ8 ≤ 0 (1 2)(3 8)(4 7 5) 1
Adding this vertex gives a polytope P where all facets are covered by Theorem 2. ThusP is the genuine moment polytope for ∧3H8 given by 31 independent inequalities listedin Table 4.
4 electrons 8 spin orbitals31 constraints
4 electrons 10 spin orbitals124 constraints
5 electrons 10 spin orbitals160 constraints
- number and complexity of constraints increases dramatically with number of electrons and size of basis- not at all obvious which constraints are important or what they even mean, physically - Altunbulak & Klyachko tabulated all constraints for systems with up to 10 orbitals
(a)
Be-
BC+N2+O3+F4+Ne5+
0 1 2 3 4 5 6 7
(b)
1 20 40 60 80 100 120 140 160constraint number
Be-
BC+N2+O3+F4+Ne5+
pure-state N-representability conditions- 5 electrons in 10 spin orbitals [ v2RDM-CASSCF (5e,5o) / cc-pVQZ ] … 160 constraints
- enforcing PQG (ensemble state) constraints
GPC errors (electrons)
AED, J. Chem. Phys. 145, 164109 (2016).
(a)
Be-
BC+N2+O3+F4+Ne5+
0 1 2 3 4 5 6 7
(b)
1 20 40 60 80 100 120 140 160constraint number
Be-
BC+N2+O3+F4+Ne5+
pure-state N-representability conditions- 5 electrons in 10 spin orbitals [ v2RDM-CASSCF (5e,5o) / cc-pVQZ ] … 160 constraints
- enforcing PQG (ensemble state) constraints
- many constraints severely violated
GPC errors (electrons)
AED, J. Chem. Phys. 145, 164109 (2016).
(a)
Be-
BC+N2+O3+F4+Ne5+
0 1 2 3 4 5 6 7
(b)
1 20 40 60 80 100 120 140 160constraint number
Be-
BC+N2+O3+F4+Ne5+
pure-state N-representability conditions
- enforcing PQG (ensemble state) constraints
- many constraints severely violated
- clearly the ground-state 2-RDM does not represent a pure state
- 5 electrons in 10 spin orbitals [ v2RDM-CASSCF (5e,5o) / cc-pVQZ ] … 160 constraints
GPC errors (electrons)
AED, J. Chem. Phys. 145, 164109 (2016).
(a)
Be-
BC+N2+O3+F4+Ne5+
0 1 2 3 4 5 6 7
(b)
1 20 40 60 80 100 120 140 160constraint number
Be-
BC+N2+O3+F4+Ne5+
pure-state N-representability conditions
- enforcing PQG (ensemble state) constraints
- many constraints severely violated
- clearly the ground-state 2-RDM does not represent a pure state
Hartree-Fock guess for 1-, 2-RDM
- 5 electrons in 10 spin orbitals [ v2RDM-CASSCF (5e,5o) / cc-pVQZ ] … 160 constraints
GPC errors (electrons)
AED, J. Chem. Phys. 145, 164109 (2016).
(a)
Be-
BC+N2+O3+F4+Ne5+
0 1 2 3 4 5 6 7
(b)
1 20 40 60 80 100 120 140 160constraint number
Be-
BC+N2+O3+F4+Ne5+
- enforcing PQG (ensemble state) constraints
- many constraints severely violated
- seeding computation with a different guess yields totally different densities … with exactly the same energy
Hartree-Fock guess for 1-, 2-RDM
random guess for 1-, 2-RDM
pure-state N-representability conditions
- clearly the ground-state 2-RDM does not represent a pure state
- 5 electrons in 10 spin orbitals [ v2RDM-CASSCF (5e,5o) / cc-pVQZ ] … 160 constraints
GPC errors (electrons)
AED, J. Chem. Phys. 145, 164109 (2016).
(a)
Be-
BC+N2+O3+F4+Ne5+
0 1 2 3 4 5 6 7
(b)
1 20 40 60 80 100 120 140 160constraint number
Be-
BC+N2+O3+F4+Ne5+
- enforcing PQG (ensemble state) constraints
- many constraints severely violated
- seeding computation with a different guess yields totally different densities … with exactly the same energy
Hartree-Fock guess for 1-, 2-RDM
random guess for 1-, 2-RDM
pure-state N-representability conditions
- clearly the ground-state 2-RDM does not represent a pure state
- 5 electrons in 10 spin orbitals [ v2RDM-CASSCF (5e,5o) / cc-pVQZ ] … 160 constraints
GPC errors (electrons)
AED, J. Chem. Phys. 145, 164109 (2016).
1D(x1|x0
1) = N
Zdx2dx3...dxN
X
k
wk k(x1, x2, x3, ..., xN ) ⇤k(x
01, x2, x3, ..., xN ).
pure-state N-representability conditions
- 2P to 4P excitations from state-averaged (SA) CASSCF averaging 6 states
excitation energies (eV)
Be-
BC+
N2+
O3+
F4+
Ne5+
1.352.994.696.418.139.85
11.65
SA-CASSCF
maximum error
- 5 electrons in 10 spin orbitals [ v2RDM-CASSCF (5e,5o) / cc-pVQZ ] … 160 constraints
AED, J. Chem. Phys. 145, 164109 (2016).
pure-state N-representability conditions
- 2P to 4P excitations from state-averaged (SA) CASSCF averaging 6 states
excitation energies (eV)
Be-
BC+
N2+
O3+
F4+
Ne5+
1.413.114.896.748.56
10.4512.39
0.82
1.352.994.696.418.139.85
11.65
SA-CASSCF
ERPAensemble
maximum error
- 5 electrons in 10 spin orbitals [ v2RDM-CASSCF (5e,5o) / cc-pVQZ ] … 160 constraints
Hartree-Fock guess
AED, J. Chem. Phys. 145, 164109 (2016).
pure-state N-representability conditions
- 2P to 4P excitations from state-averaged (SA) CASSCF averaging 6 states
excitation energies (eV)
Be-
BC+
N2+
O3+
F4+
Ne5+
1.413.114.896.748.56
10.4512.39
0.82
1.623.415.237.058.87
10.7112.54
0.98
1.352.994.696.418.139.85
11.65
SA-CASSCF
ERPAensemble
maximum error
- 5 electrons in 10 spin orbitals [ v2RDM-CASSCF (5e,5o) / cc-pVQZ ] … 160 constraints
Hartree-Fock guessrandom guess
AED, J. Chem. Phys. 145, 164109 (2016).
pure-state N-representability conditions
- 2P to 4P excitations from state-averaged (SA) CASSCF averaging 6 states
excitation energies (eV)
Be-
BC+
N2+
O3+
F4+
Ne5+
1.413.114.896.748.56
10.4512.39
0.82
1.623.415.237.058.87
10.7112.54
0.98
1.352.994.696.418.139.85
11.65
SA-CASSCF
ERPAensemble
maximum error
- 5 electrons in 10 spin orbitals [ v2RDM-CASSCF (5e,5o) / cc-pVQZ ] … 160 constraints
Hartree-Fock guessrandom guess
all hope is lost!
AED, J. Chem. Phys. 145, 164109 (2016).
pure-state N-representability conditions- 5 electrons in 10 spin orbitals [ v2RDM-CASSCF (5e,5o) / cc-pVQZ ] … 160 constraints
[-3,2,2,2,2,2,2,-3,-3,-3]<=5,
[3,3,3,-2,-2,-2,-2,-2,-2,3]<=5,
[3,3,5,-3,-1,-3,-1,1,-5,1]<=7,[3,3,5,1,-5,-3,-1,-3,-1,1]<=7,[-1,1,3,5,-1,1,3,-5,-3,-3]<=7,[3,3,5,-3,-1,1,-5,-3,-1,1]<=7,[-1,5,-1,1,3,1,3,-5,-3,-3]<=7,[-1,5,-1,1,1,3,3,-3,-5,-3]<=7,[-1,1,3,1,3,5,-1,-5,-3,-3]<=7,[3,5,3,1,-5,-3,-3,-1,-1,1]<=7,[-1,1,1,3,3,5,-1,-3,-5,-3]<=7,[3,5,3,-3,-3,-1,-1,1,-5,1]<=7,
[1,3,1,5,-1,5,-1,-5,-5,-3]<=9,[1,5,-1,5,-1,3,1,-5,-5,-3]<=9,[3,5,-1,5,-3,1,1,-5,-5,-1]<=9,[3,5,1,5,-5,1,-1,-5,-3,-1]<=9,[1,5,-1,3,1,5,-1,-5,-5,-3]<=9,[3,5,5,1,-5,-1,-3,1,-5,-1]<=9,[3,5,5,1,-5,1,-5,-1,-3,-1]<=9,[3,5,1,5,-5,-1,1,-3,-5,-1]<=9,[1,3,5,-1,1,5,-5,-1,-3,-5]<=9,[1,5,3,-1,1,5,-5,-1,-5,-3]<=9,[1,3,5,1,-1,5,-5,-1,-5,-3]<=9,[3,5,-1,1,1,5,-3,-5,-5,-1]<=9,[3,5,1,1,-1,5,-5,-5,-3,-1]<=9,[3,5,5,-1,-3,1,-5,1,-5,-1]<=9,[1,5,5,-1,-1,3,-5,1,-5,-3]<=9,[5,3,1,5,-5,-1,1,-5,-3,-1]<=9,[1,5,5,3,-5,-1,-1,1,-5,-3]<=9,[1,3,5,5,-5,1,-1,-1,-5,-3]<=9,[3,5,1,-1,1,5,-5,-3,-5,-1]<=9,[1,5,3,5,-5,-1,1,-1,-5,-3]<=9,[5,3,5,-3,-1,1,-5,1,-5,-1]<=9,[1,5,-1,5,-1,1,3,-5,-3,-5]<=9,[5,3,-1,1,1,5,-5,-3,-5,-1]<=9,[1,5,3,5,-5,-1,-1,1,-3,-5]<=9,[1,3,5,5,-5,-1,1,-1,-3,-5]<=9,[5,3,1,-1,1,5,-5,-5,-3,-1]<=9,[5,1,3,5,-5,1,-3,-1,-5,-1]<=9,[1,5,1,3,-1,5,-5,-3,-1,-5]<=9,[5,1,3,5,-5,1,-1,-5,-3,-1]<=9,[1,3,5,1,-1,5,-5,-3,-1,-5]<=9,[1,5,3,5,-5,1,-3,-1,-1,-5]<=9,[5,1,1,3,-1,5,-5,-3,-5,-1]<=9,[5,1,3,1,-1,5,-5,-5,-3,-1]<=9,[1,3,5,5,-5,1,-1,-3,-1,-5]<=9,
[5,3,5,1,-5,-3,-1,1,-5,-1]<=9,[1,5,-1,1,3,5,-1,-5,-3,-5]<=9,[1,1,3,5,-1,5,-1,-5,-3,-5]<=9,[5,3,5,1,-5,1,-5,-3,-1,-1]<=9,[1,1,3,5,-1,5,-3,-1,-5,-5]<=9,[5,5,1,3,-5,1,-5,-3,-1,-1]<=9,
[5,7,9,1,-9,-7,-5,-3,-1,3]<=13,[5,7,9,-7,-5,-3,-1,1,-9,3]<=13,
[-3,9,-1,1,3,5,7,-9,-7,-5]<=13,[-3,1,3,5,7,9,-1,-9,-7,-5]<=13,
[4,9,-1,9,-6,-1,4,-11,-6,-1]<=15,[-1,4,9,-1,4,9,-6,-1,-11,-6]<=15,[9,9,4,-6,-6,-1,-1,4,-11,-1]<=15,[-1,4,9,9,-6,-1,-1,4,-6,-11]<=15,[9,-1,4,4,-1,9,-11,-6,-6,-1]<=15,[-1,4,9,9,-6,-1,4,-1,-11,-6]<=15,[-1,9,4,9,-6,-1,-1,4,-11,-6]<=15,[9,4,-1,-1,4,9,-11,-6,-6,-1]<=15,[9,9,4,4,-11,-6,-6,-1,-1,-1]<=15,[-1,4,4,9,-1,9,-6,-1,-11,-6]<=15,[4,9,-1,4,-1,9,-11,-6,-6,-1]<=15,[4,9,-1,-1,4,9,-6,-11,-6,-1]<=15,[-1,9,-1,4,4,9,-1,-11,-6,-6]<=15,[-1,4,4,9,-1,9,-1,-11,-6,-6]<=15,[-1,9,-1,9,-1,4,4,-11,-6,-6]<=15,
[1,11,-4,1,1,6,6,-4,-9,-9]<=15,[1,6,11,-4,1,6,-9,1,-9,-4]<=15,[6,11,1,6,-9,-4,1,-9,-4,1]<=15,[11,6,-4,1,1,6,-9,-9,-4,1]<=15,[1,6,6,11,-9,1,-4,-4,1,-9]<=15,[6,11,1,-4,1,6,-9,-9,-4,1]<=15,[6,11,-4,1,1,6,-9,-4,-9,1]<=15,[1,6,6,11,-9,-4,1,1,-4,-9]<=15,[6,11,1,6,-9,1,-9,-4,-4,1]<=15,[1,6,6,11,-9,1,-4,1,-9,-4]<=15,[1,6,11,6,-9,-4,1,1,-9,-4]<=15,[6,6,11,-4,-4,1,-9,1,-9,1]<=15,[1,1,1,6,6,11,-4,-4,-9,-9]<=15,[6,6,11,1,-9,1,-9,-4,-4,1]<=15,[6,6,11,1,-9,-4,-4,1,-9,1]<=15,
[-3,7,7,7,-3,7,-3,-3,-3,-13]<=15,[7,-3,7,7,-3,7,-3,-3,-13,-3]<=15,[7,7,-3,-3,7,7,-3,-3,-13,-3]<=15,[7,7,7,-3,-3,7,-13,-3,-3,-3]<=15,
[7,7,-3,7,-3,-3,7,-3,-13,-3]<=15,[7,7,-3,7,-3,7,-3,-13,-3,-3]<=15,[7,7,7,7,-13,-3,-3,-3,-3,-3]<=15,[7,7,7,-3,-3,-3,-3,7,-13,-3]<=15,
[3,13,3,3,-7,3,-7,-7,3,-7]<=15,[13,3,3,3,-7,3,-7,-7,-7,3]<=15,[3,13,3,3,-7,-7,3,3,-7,-7]<=15,[3,13,3,-7,3,3,-7,3,-7,-7]<=15,[3,3,3,3,3,13,-7,-7,-7,-7]<=15,[3,3,13,3,-7,3,-7,3,-7,-7]<=15,[3,13,-7,3,3,3,3,-7,-7,-7]<=15,[3,3,3,13,-7,3,3,-7,-7,-7]<=15,
[-2,8,3,8,3,13,-2,-12,-12,-7]<=20,[-2,13,-2,8,3,8,3,-12,-12,-7]<=20,[-2,8,3,13,-2,8,3,-12,-12,-7]<=20,[-2,13,-2,3,8,3,8,-7,-12,-12]<=20,[-2,3,8,8,3,13,-7,-2,-12,-12]<=20,[-2,8,3,3,8,13,-2,-12,-7,-12]<=20,[-2,8,3,13,-2,3,8,-12,-7,-12]<=20,[-2,3,8,3,8,13,-2,-7,-12,-12]<=20,[-2,3,8,13,-2,3,8,-7,-12,-12]<=20,[-2,3,8,13,-2,8,3,-12,-7,-12]<=20,[-2,13,-2,8,3,3,8,-12,-7,-12]<=20,[-2,13,-2,3,8,8,3,-12,-7,-12]<=20,[-2,8,8,13,-7,-2,3,3,-12,-12]<=20,[-2,3,8,8,3,13,-2,-12,-7,-12]<=20,[8,8,-2,3,3,13,-12,-12,-7,-2]<=20,
[12,7,12,-8,-3,-3,-8,2,-13,2]<=20,[12,7,12,-3,-8,-8,-3,2,-13,2]<=20,[12,12,7,-8,-3,-8,-3,2,-13,2]<=20,[12,12,2,7,-13,-3,-8,-8,-3,2]<=20,[12,7,12,2,-13,-8,-3,-3,-8,2]<=20,[12,7,12,-8,-3,2,-13,-3,-8,2]<=20,[12,12,7,2,-13,-8,-3,-8,-3,2]<=20,[12,12,7,-8,-3,2,-13,-8,-3,2]<=20,[12,7,12,-3,-8,2,-13,-8,-3,2]<=20,[12,12,-3,-3,2,7,-13,-8,-8,2]<=20,[12,7,12,2,-13,-3,-8,-8,-3,2]<=20,[7,12,12,-3,-8,2,-13,-3,-8,2]<=20,[7,12,12,2,-13,-3,-8,-3,-8,2]<=20,[7,12,12,-3,-8,-3,-8,2,-13,2]<=20,[2,7,12,12,-13,-3,-3,2,-8,-8]<=20,
[3,8,13,18,-17,-7,-2,3,-12,-7]<=25,[13,18,-7,-2,3,8,-17,-12,-7,3]<=25,[13,18,8,-12,-7,-7,-2,3,-17,3]<=25,
[13,18,8,3,-17,-12,-7,-7,-2,3]<=25,[13,18,3,8,-17,-7,-12,-7,-2,3]<=25,[7,12,-3,2,7,17,-18,-13,-8,-3]<=25,[-3,7,12,17,-8,-3,2,7,-18,-13]<=25,[-3,2,7,12,7,17,-8,-3,-18,-13]<=25,[-3,17,-3,2,7,7,12,-8,-18,-13]<=25,[-3,2,7,7,12,17,-3,-8,-18,-13]<=25,
[17,17,7,-3,-13,-13,-13,-3,-3,7]<=25,[17,17,7,-13,-13,-3,-3,-3,-13,7]<=25,
[-7,13,3,3,3,13,13,-7,-17,-17]<=25,[-7,3,3,13,13,13,3,-7,-17,-17]<=25,
[-3,27,-8,2,7,12,17,-23,-18,-13]<=35,[-3,2,7,12,17,27,-8,-23,-18,-13]<=35,
[13,18,23,-17,-12,-7,-2,8,-27,3]<=35,[13,18,23,8,-27,-17,-12,-7,-2,3]<=35,
[-7,3,13,13,23,33,-7,-27,-27,-17]<=45,[-7,33,-7,3,13,13,23,-27,-27,-17]<=45,
[17,27,27,7,-33,-23,-13,-13,-3,7]<=45,[17,27,27,-23,-13,-13,-3,7,-33,7]<=45
];
all hope is NOT lost!
- Altunbulak & Klyachko tabulated these constraints M. Altunbulak and A. Klyachko, Commun. Math. Phys. 282, 287 (2008).
- can recast generalized Pauli constraints as linear equality constraints within v2RDM SDP optimization
- resulting optimization requires *far* more iterations to converge … BUT … the 1-RDM is then pure-state N-representable
PQG has 7389 constraints
pure-state N-representability conditions
- 2P to 4P excitations from state-averaged (SA) CASSCF averaging 6 states
excitation energies (eV)
Be-
BC+
N2+
O3+
F4+
Ne5+
1.413.114.896.748.56
10.4512.39
0.82
1.623.415.237.058.87
10.7112.54
0.98
1.383.044.746.458.189.90
11.62
0.06
1.352.994.696.418.139.85
11.65
SA-CASSCF
ERPA
ensemble pure
maximum error
- 5 electrons in 10 spin orbitals [ v2RDM-CASSCF (5e,5o) / cc-pVQZ ] … 160 constraints
Hartree-Fock guessrandom guess
AED, J. Chem. Phys. 145, 164109 (2016).
pure-state N-representability conditions
- 3P to 5S excitations from state-averaged (SA) CASSCF averaging 4 states
excitation energies (eV)
Be2-
B-
CN+
O2+
F3+
Ne4+
0.531.733.154.776.518.33
10.24
0.93
0.491.632.964.466.057.679.30
SA-CASSCF
ERPAensemble
maximum error
- 6 electrons in 10 spin orbitals [ v2RDM-CASSCF (6e,5o) / cc-pVQZ ] … 124 constraints
Hartree-Fock guess
AED, J. Chem. Phys. 145, 164109 (2016).
pure-state N-representability conditions
- 3P to 5S excitations from state-averaged (SA) CASSCF averaging 4 states
excitation energies (eV)
Be2-
B-
CN+
O2+
F3+
Ne4+
0.531.733.154.776.518.33
10.24
0.93
0.812.223.805.497.249.04
10.86
1.56
0.491.632.964.466.057.679.30
SA-CASSCF
ERPAensemble
maximum error
- 6 electrons in 10 spin orbitals [ v2RDM-CASSCF (6e,5o) / cc-pVQZ ] … 124 constraints
Hartree-Fock guessrandom guess
AED, J. Chem. Phys. 145, 164109 (2016).
pure-state N-representability conditions
- 3P to 5S excitations from state-averaged (SA) CASSCF averaging 4 states
excitation energies (eV)
Be2-
B-
CN+
O2+
F3+
Ne4+
0.531.733.154.776.518.33
10.24
0.93
0.812.223.805.497.249.04
10.86
1.56
0.491.632.964.466.057.679.30
SA-CASSCF
maximum error
- 6 electrons in 10 spin orbitals [ v2RDM-CASSCF (6e,5o) / cc-pVQZ ] … 124 constraints
Hartree-Fock guessrandom guess
ERPA
pure
0.491.632.964.466.057.679.30
0.00
ensemble
AED, J. Chem. Phys. 145, 164109 (2016).
pure-state N-representability conditions
- 3P to 5S excitations from state-averaged (SA) CASSCF averaging 4 states
excitation energies (eV)
Be2-
B-
CN+
O2+
F3+
Ne4+
0.531.733.154.776.518.33
10.24
0.93
0.812.223.805.497.249.04
10.86
1.56
0.491.632.964.466.057.679.30
SA-CASSCF
maximum error
- 6 electrons in 10 spin orbitals [ v2RDM-CASSCF (6e,5o) / cc-pVQZ ] … 124 constraints
Hartree-Fock guessrandom guess
ERPA
pure
0.491.632.964.466.057.679.30
0.00
ensemble
AED, J. Chem. Phys. 145, 164109 (2016).
Current/future directions
Summarysophisticated electronic structure methods are necessary to capture strong correlation effects, but conventional approaches become impractical for large systems
v2RDM-driven CASSCF can treat systems with active spaces as large as (50e,50o), and analytic energy gradients are readily available.
however, treating excited states can be challenging
-
-
-
-
-
standard ERPA often is inadequate; inclusion of higher excitations into excited-state wave functions is necessary
including spin-orbit coupling in two-component v2RDM-CASSCF for relativistic effects
- strategies for dynamical correlation effects (e.g. ERPA, some DFT-inspired approaches)
Acknowledgements
Graduate StudentsElvis MaradzikeBrandon CooperSina MostafanejadNam Vu
Undergraduate StudentsDaniel Gibney
PostdocsRun “Rain” Li
Former Group MembersJacob Fosso-TandeWayne MullinaxDaniel NascimentoJess HaneyLauren Koulias
Collaborators:Jay Foley (William Paterson)Greg Gidofalvi (Gonzaga)Evgeny Epifanovsky (Q-Chem, Inc.)
NSF (CHE-1554354, ACI-1663636)ARO STTR Phase I/II with Q-Chem (69478CHST2)DOE EFRC (DE-SC0016568)
$$$
@DePrinceFSU
Questions?