EEE 6002 - (April 2024)
Selected Topics on Electrical and Electronic Engineering - Quantum Photonics and Quantum Computing
Offered to: PostgraduateSyllabus
This course is on the Quantum Photonics and Quantum Computing
This webpage will not be updated, and kept just for prospective students to have an idea about the course.
We have created a class Teams for this course, if you have not been added to the class Team, please email the course instructor.
Class Schedule
Wednesday 2pm-5pm Room EEE 625, ECE Building, BUET
Syllabus
Course Content
Introduction to quantum computing, circuits and single-qubit gates, Qubits, bra-ket notation, superposition, and measurements, Rotation gates, the Bloch sphere and quantum state preparation, Measurements and expectation values; Introduction to multi-qubit circuits and entanglement, Quantum Algorithms - No cloning theorem and quantum teleportation, Deutsch-Jozsa algorithm, Grover’s algorithm, Quantum Fourier Transform (QFT), Shor’s algorithm, quantum error correction. Quantum Algorithms simulation. Introduction to quantum hardware - fault-tolerant architecture, Photonic quantum computers, Trapped ions, Superconducting qubits, Neutral-atom quantum computers, Pulse programming on Rydberg atom hardware, Introduction to quantum photonics and continuous variable Quantum Computing, Annihilation and creation, quadrature and number operators, Continuous-variable (CV) quantum circuits, Quantum photonics for information processing.
Course Outcomes (CO)
After completion of this course, students will be able to
| CO No. | CO Statement | Domains and Taxonomy level(s)** | Delivery Method(s) and Activity(-ies) | Assessment Tool(s) |
|---|---|---|---|---|
| CO1 | Understand fundamental notations and problems of quantum computing quantum algorithms and structures. | C2 : Cognitive /Understand | Lectures, Handouts, Code Book | Assignment 1 Final Examination |
| CO2 | Assess the efficiency and limitations of quantum algorithms, and different quantum hardware and technologies | C5: Cognitive /Evaluate | Lectures, Handouts, Code Book | Assignment 2 Final Examination |
| CO3 | Demonstrate proficiency in implementing quantum algorithms and quantum circuits with multiple qubits for solving practical problems | P4: Psychomotor /Mechanism | Class Demonstrations Code Book | Final Presentation, Report |
Assessment Policy
- Continuous Assessment: Continuous assessment any of the activities such as assignment, presentation, programming assignment etc.
- One Video / live presentation will be prepared by individual students.
- Final Examination: A comprehensive term final examination will be held at the end of the Term. Class lectures, Case studies, Research papers review, Practical problem solution etc.
Grading Policy
- Assignment 1 15%
- Assignment 2 15%
- Final Presentation+Report 30%
- Final Examination 40%
- Total 100%
Textbooks / Resources
C. Albornoz, G. Alonso, M. Andrenkov, P. Angara, A. Asadi, A. Ballon, S. Bapat, L. Botelho, I. De Vlugt, O. Di Matteo, P. Downing, P. Finlay, A. Fumagalli, A. Gardhouse, N. Girard, A. Hayes, J. Izaac, R. Janik, T. Kalajdzievski, N. Killoran, I. Kurečić, O. Landon-Cardinal, D. Nino, A. Otto, C. Pere, J. Pickering, J. Soni, D. Wakeham. (2023) Xanadu Quantum Codebook. (https://codebook.xanadu.ai/)
Alessio Serafini, Quantum Continuous Variables A Primer of Theoretical Methods, 2nd Edition CRC Press (2023)
Nielsen, Michael A., and Isaac L. Chuang. Quantum Computation and Quantum Information Cambridge, UK: Cambridge University Press) (2010)
Collected Resources
This part of the website, I collect different resources and links
Lectures
- John Preskill (Caltech) Ph219 - Quantum Computation
- James R. Lee (UWashington) CSE 599Q: Intro to Quantum Computing
- Ryan O’Donnell (CMU) 15-859BB: Quantum Computation and Quantum Information
- Umesh Vazirani (UC Berkeley) CS294-2: Quantum Computation
- Scott Aaronson (UT Austin)
- Ronald de Wolf - Quantum Computing: Lecture Notes
- Andrew Childs (UWaterloo) Quantum algorithms
- Moin Qureshi (GaTech) - CS8803 Introduction to Quantum Computing
Books
