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Syllabus: ECE 695 1 ECE 695: Quantum Detectors and Sensors Course Run ECE 69502: Quantum Detectors and Sensors (2T2020) Instructor Zubin Jacob, Associate Professor of Electrical and Computer Engineering, Purdue University Email: [email protected] Website Twitter: @zjresearchgroup Audience This course is ideally suited for both industry practitioners and university students with a curiosity to understand quantum technology. It assumes a very basic undergraduate level of knowledge of differential equations and teaches foundational concepts underlying modern quantum technology. Those pursuing a career in various industries related to emerging computing platforms (quantum/neuromorphic), defense/reconnaissance/surveillance systems, next generation hyperspectral imaging, information/communication systems, AI/machine perception will benefit from understanding fundamental advantages offered by quantum detectors and sensors. Course Description Learners will experience an overview of foundational ideas on which future quantum technology will be built. This course introduces the knowledge that will empower students to understand the difference between the quantum and classical realms. Specifically, this course teaches the concept of quantum detectors, which are central to a wide variety of quantum technologies from computing to networking. Students will also learn about quantum sensors and how they push the frontiers of existing classical sensor technology. Students can expect to learn skills for designing next generation information/communication/imaging systems that exploit unique functionality of quantum detectors and sensors. Prerequisites Basic knowledge of differential equations Basic knowledge of electromagnetic fields

ECE 695: Quantum Detectors and Sensors · Syllabus: ECE 695 2 . Course Learning Outcomes . After completing this course, you will be able to: Identify the fundamental differences

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Page 1: ECE 695: Quantum Detectors and Sensors · Syllabus: ECE 695 2 . Course Learning Outcomes . After completing this course, you will be able to: Identify the fundamental differences

Syllabus: ECE 695

1

ECE 695: Quantum Detectors and Sensors

Course Run ECE 69502: Quantum Detectors and Sensors (2T2020)

Instructor Zubin Jacob, Associate Professor of Electrical and Computer Engineering, Purdue

University

Email: [email protected]

Website

Twitter: @zjresearchgroup

Audience This course is ideally suited for both industry practitioners and university students with a curiosity to understand quantum technology. It assumes a very basic undergraduate level of knowledge of differential equations and teaches foundational concepts underlying modern quantum technology. Those pursuing a career in various industries related to emerging computing platforms (quantum/neuromorphic), defense/reconnaissance/surveillance systems, next generation hyperspectral imaging, information/communication systems, AI/machine perception will benefit from understanding fundamental advantages offered by quantum detectors and sensors.

Course Description Learners will experience an overview of foundational ideas on which future quantum technology will be built. This course introduces the knowledge that will empower students to understand the difference between the quantum and classical realms. Specifically, this course teaches the concept of quantum detectors, which are central to a wide variety of quantum technologies from computing to networking. Students will also learn about quantum sensors and how they push the frontiers of existing classical sensor technology. Students can expect to learn skills for designing next generation information/communication/imaging systems that exploit unique functionality of quantum detectors and sensors.

Prerequisites Basic knowledge of differential equations

Basic knowledge of electromagnetic fields

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Syllabus: ECE 695

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Course Learning Outcomes After completing this course, you will be able to:

Identify the fundamental differences between classical noise and quantum fluctuationsin physical quantities (Quantum noise)

Define the concept of coherence in space and time through the example of light(Quantum coherence)

Describe the next generation of ultra-precision measurement tools (Quantummetrology)

Design new systems for imaging, communications and a host of other applicationsexploiting superior detector technology (Quantum detectors)

Recognize the fundamental limits of classical sensors and how to overcome them usingquantum phenomena (Quantum sensing)

Required Text and Materials Textbook

There is no required textbook for this course. Students will find the material covered inthe course and provided references to be self-contained. The slides contain referencesto specific books and research papers.

Grading This course will be graded based on the following criteria:

Assessment Type

Description % of Final Grade

Homework Assignments

There will be three (3) homework assignments. Homework assignments will involve problem-solving based on material covered in the lectures.

30%

Midterm Exam There will be one (1) midterm exam. The midterm exam will be open book/open notes, and it will consist of all multiple choice questions.

30%

Final Exam There will be one (1) final exam. The final exam will be open book/open notes.

40%

Grading Scale Your course grade will be based on the following grading scale: 95-100% A+; 85-95% A; 75-85% A-; 75-85% B+; 70-75% B; 65-70% B-; 60-65% C+; 55-60% C; 50-55% C-; 48-50% D+; 46-48% D; 45-46% D-; <45% F.

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Syllabus: ECE 695

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Course Content and Activities

Module Week Assignments (Verified/Master

Students Only)

1 – Quantum Noise

1. Bosons vs. Fermions2. Bosonic Harmonic Oscillator3. Two-Level Atoms4. Fluctuation-Dissipation Theorem5. Vacuum Fluctuations

Module 1 Homeworko Date Available in Course: 8/24o Due Date: 9/27 at 11:59 PM ET

(9/28 at 03:59 UTC)

2 – Quantum Detectors

6. Classical Detectors7. Single Photon Avalanche

Detectors8. Superconducting Detectors9. Quantum Interference10. Quantum Non-Demolition

Measurement

Module 2 Homeworko Date Available in Course: 9/28o Due Date: 11/1 at 11:59 PM ET

(11/2 at 04:59 UTC)

Midterm Examo Date Available in Course: 10/26o Due Date: 11/1 at 11:59 PM ET

(11/2 at 04:59 UTC)

3 – Quantum Sensing

11. Coherent States and SqueezedStates

12. Quantum Interferometry13. Quantum Fisher Information14. Nitrogen Vacancy Centers in

Diamond15. Quantum Phase Transition

Based Sensing Detection

Module 3 Homeworko Date Available in Course: 11/2o Due Date: 12/6 at 11:59 PM ET

(12/7 at 04:59 UTC)

Final Exam Week

Final Exam Week Final Examo Date Available in Course: 12/7o Due Date: 12/13 at 11:59 PM ET

(12/14 at 04:59 UTC)

Estimated Effort

6-9 hours/week

16 weeks total

Languages Content: English | Videos: English | Transcripts: English

Course Difficulty

Advanced

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Enrollment Tracks Audit - Freely experience the course during the preview period.

Verified – Access all course materials and graded assessments. Receive a verifiedcertificate by passing the course with a final grade of 45%.

Master’s – Students enrolled at Purdue in the online MSECE with access to all coursematerials and graded assessments

Advances in Quantum Technology: Detectors and Networking MicroMasters® Certificate Policy: To complete the MicroMasters program you must: Complete all five (5) Quantum Technology: Detectors and Networking courses.

Earn an edX certificate for each course.

Have an average score of “B” or better for all five (5) courses.

For further information, see Purdue University’s Regulations: Grading and GradeReports

Course Help To get help with course content, comment in the discussion forums located in each unit. By commenting in the unit discussion forums, the course team will be able to respond to your question more quickly.

Discussion Guidelines Please follow the Discussion Guidelines when contributing to discussions in this course. Here are a few of the key points you should remember:

● Do not use offensive language. Present ideas appropriately.

● Be cautious in using Internet language. For example, do not capitalize all letters since

this suggests shouting.

● Avoid using vernacular or slang language. This could possibly lead to misinterpretation.

● Do not hesitate to ask for feedback.

● Be concise and to the point.

● Think and edit before you push the “Send” button.

Technical Help If you experience technical difficulties with the edX platform, contact edX Support using:

The email address: [email protected]

edX’s Contact Us form

Accessibility Support See Accessibility tab

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