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Introduction to MERA

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Introduction to MERA. Sukhwinder Singh Macquarie University. Tensor s. M ultidimensional array of complex numbers. Cost of Contraction. =. a. a. b. c. d. Made of layers. Disentanglers & Isometries. Different ways of looking at the MERA. Coarse-graining transformation. - PowerPoint PPT Presentation

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Page 1: Introduction to MERA
Page 2: Introduction to MERA

Introduction to MERASukhwinder Singh

Macquarie University

Page 3: Introduction to MERA

Multidimensional array of complex numbers

Tensors

1 2 ki i iT

1

2

3

:Ket

* * *1 2 3

: Bra

11 12

21 22

31 32

MatrixM MM MM M

a

a

a

b

a

b

c

11 12

21 22

31 32

11 12

21 22

31 32

1

2

Rank-3 TensorM M

c M MM M

N Nc N N

N N

Page 4: Introduction to MERA

Cost of Contraction

=P

QR

b c

a

e f

b c

a

abc ebcf aefef

R P Q

cost a b c e f

Page 5: Introduction to MERA

1 2 Ni i i

1i 2i Ni

1i 2i Ni

1

Page 6: Introduction to MERA

4Total number of components = ( )O N

Made of layers

Page 7: Introduction to MERA

Disentanglers & Isometries

U

†U

W†W

Page 8: Introduction to MERA

Different ways of looking at the MERA

1. Coarse-graining transformation.2. Efficient description of ground states on a

classical computer.3. Quantum circuit to prepare ground states on

a quantum computer.4. A specific realization of the AdS/CFT

correspondence.

Page 9: Introduction to MERA

Coarse-graining transformation

Length Scale

Page 10: Introduction to MERA

V

W

Coarse-graining transformation

dim( ) dim( )V W

: IsometryExample

Page 11: Introduction to MERA

Layer is a coarse-graining transformation

Page 12: Introduction to MERA

Coarse graining of operators

Page 13: Introduction to MERA

Coarse graining of operators

Page 14: Introduction to MERA

Coarse graining of operators

Page 15: Introduction to MERA

Coarse graining of operators

Page 16: Introduction to MERA

Coarse graining of operators

Page 17: Introduction to MERA

Coarse graining of operators

Page 18: Introduction to MERA

Coarse graining of operators

Cost of contraction = ( )Local operators coarse-grained to local operators.

pO

Page 19: Introduction to MERA

Scaling Superoperator

Page 20: Introduction to MERA

Scaling Superoperator

Page 21: Introduction to MERA

MERA defines an RG flow

0L

1L

2L

3L

Scale Wavefunction on coarse-grained lattice with two sites

Page 22: Introduction to MERA

Types of MERA

Page 23: Introduction to MERA

Types of MERA

Binary MERA Ternary MERA

Page 24: Introduction to MERA

Different ways of looking at the MERA

1. Coarse-graining transformation.2. Efficient description of ground states on a

classical computer.3. Quantum circuit to prepare ground states on

a quantum computer.4. A specific realization of the AdS/CFT

correspondence.

Page 25: Introduction to MERA

Expectation values from the MERA

2

Perform contraction layer by layer

Cost = O( log )Efficient!

p N

MERA MERAO MERA

MERA

Page 26: Introduction to MERA

“Causal Cone” of the MERA

Page 27: Introduction to MERA

But is the MERA good for representing ground states?

Claim: Yes!Naturally suited for critical systems.

Page 28: Introduction to MERA

Recall!

1) Gapped Hamiltonian

2) Critical Hamiltonian

( ) log( )S l l

( )S l const l /( ) lC l e

( ) 0aC l l a

Page 29: Introduction to MERA

In any MERA

Correlations decay polynomially

Entropy grows logarithmically

Page 30: Introduction to MERA

Correlations in the MERA

log1 2

log log

( )

0 1; 0

COARSE

l

l q

Tr O

Tr S OO

l lq

log stepsl

Page 31: Introduction to MERA

Correlations in the MERA

M

log †log1 2

log log

( )

0 1; 0

COARSE

l l

l q

Tr O

Tr M OO M

l lq

log stepsl

Page 32: Introduction to MERA

Entanglement entropy in the MERA

sitesl

loglog rank( ) ( ) lS l const

Page 33: Introduction to MERA

Entanglement entropy in the MERA

Page 34: Introduction to MERA

Entanglement entropy in the MERA

Page 35: Introduction to MERA

Entanglement entropy in the MERA

Page 36: Introduction to MERA

Entanglement entropy in the MERA

sitesl

log stepsl

Page 37: Introduction to MERA

Entanglement entropy in the MERA

sitesl

log stepsl

Page 38: Introduction to MERA

Entanglement entropy in the MERA

sitesl

log stepsl

logS l

ld

log l

ld

Page 39: Introduction to MERA

Therefore MERA can be used a variational ansatz for ground states

of critical Hamiltonians

Page 40: Introduction to MERA

Different ways of looking at the MERA

1. Coarse-graining transformation.2. Efficient description of ground states on a

classical computer.3. Quantum circuit to prepare ground states on

a quantum computer.4. A specific realization of the AdS/CFT

correspondence.

Page 41: Introduction to MERA
Page 42: Introduction to MERA

00 0 0

0 0 0 0 0 0 0 0 0 0

0

0

0

0

Page 43: Introduction to MERA

Time

Space

00 0 0

0 0 0 0 0 0 0 0 0 0

0

0

0

0

Page 44: Introduction to MERA

Different ways of looking at the MERA

1. Coarse-graining transformation.2. Efficient description of ground states on a

classical computer.3. Quantum circuit to prepare ground states on

a quantum computer.4. A specific realization of the AdS/CFT

correspondence.

Page 45: Introduction to MERA

Figure Source: Evenbly, Vidal 2011

Page 46: Introduction to MERA
Page 47: Introduction to MERA

g g

†g

g g

†g†g

SU(2)g

MERA and spin networks

Page 48: Introduction to MERA

MERA and spin networks

a b

c ( , , )( , , )( , , )

a a a

b b b

c c c

a j m tb j m tc j m t

0 1 0 1

0 0 1 1 2

Page 49: Introduction to MERA

MERA and spin networks

( , , )a a aj m t ( , , )b b bj m t

( , , )c c cj m t

( , )a aj t ( , )b bj t

( , )c cj t ( , )c cj m

( , )a aj m ( , )b bj m

(Wigner-Eckart Theorem)

Page 50: Introduction to MERA

MERA and spin networks

Page 51: Introduction to MERA

MERA and spin networks

Page 52: Introduction to MERA

1 2 Rj j j

MERA and spin networks

Page 53: Introduction to MERA

Summary – MERA can be seen as ..

1. As defining a RG flow.2. Efficient description of ground states on a

classical computer.3. Quantum circuit to prepare ground states on

a quantum computer.4. Specific realization of the AdS/CFT

correspondence.