Instructor Contact Information
Dr. Kaushik P. Seshadreesan
Office: 720 B, Information Sciences Building
Email: kausesh@pitt.edu
Web: https://www.dins.pitt.edu/people/kaushik-p-seshadreesan
Course Meeting Times & Locations
Meetings: Tuesdays 3:00pm-5:50pm, VICTO 117
Office hours: by appointment
Main References
Apart from the assigned research papers, the following two books will serve as helpful references:
“Quantum Computation and Quantum Information,” by Michael A. Nielson & Isaac L. Chuang, Cambridge University Press.
“Quantum Information Theory,” by Mark M. Wilde, Cambridge University Press.
Grading
· 20% Participation
· 20% Reading Summary
· 40% Project Presentation
· 20% Project Report
Course Schedule
Week 1 (08/30)
Course Introduction, and Introduction to Quantum Information, Computing, Communication, Sensing, and Cryptography.
Week 2 (09/06)
Fault Tolerant Quantum Computing
Non-technical Reading
“A bird's-eye view of quantum error correction and fault tolerance,” Arthur Pesah, blog post.
“Next Steps in Quantum Computing: Computer Science’s Role,” CCC.
“Quantum Computing: Progress and Prospects,” National Academies.
Technical Reading
“Quantum error correction for beginners,” Simon J Devitt et al Prog. Phys. 76 076001, 2013.
“Quantum error correction: an introductory guide,” Joschka Roffe, Contemporary Physics, 60:3, 226-245 (2019).
“Realization of an Error-Correcting Surface Code with Superconducting Qubits,” Youwei Zhao et al., https://doi.org/10.1103/PhysRevLett.129.030501.
Week 3 (09/13)
PQI Meeting: Talk by Instructor, Talk by Charles Tahan, and Poster session
Talk by Dr. Seshadreesan on “Two-way all-photonic quantum repeaters using the GKP bosonic encoding”. Please register for the same. It’s free.
Week 4 (09/20)
Quantum Computation: Cluster State Model
Non-Technical Reading
“From a state of light to state of the art: the photonic path to millions of qubits: A blueprint for a universal, fault-tolerant, and scalable photonic quantum computer,” Ilan Tzitrin and Ish Dhand, blog.
“How to create and visualize a cluster state in FlamingPy,” Joost Bus, Blog.
Technical Reading
“Measurement-based Quantum Computing,” Hans Briegal et al., Nature Physics 5 1, 19-26 (2009).
"Blueprint for a Scalable Photonic Fault-Tolerant Quantum Computer," J. Eli Bourassa et al., Quantum 5, 392 (2021).
“Large-scale modular quantum-computer architecture with atomic memory and photonic interconnects,” C. Monroe et al., Phys. Rev. A 89, 022317 (2014).
Week 5 (09/27)
Quantum Computation: Quantum Machine Learning and Machine Learning for Quantum, Quantum Annealing
Non-Technical Reading
“How to start quantum machine learning,” Catalina Albornoz, blog post.
“Quantum Machine Learning for Data Classification,” Seth Lloyd, Physics14, 79 (2021).
Technical Reading
"Scalable and High-Fidelity Quantum Random Access Memory in Spin-Photon Networks," Chen, K. C., et al.; https://doi.org/10.1103/PRXQuantum.2.030319
“An introduction to quantum machine learning,” Maria Schuld, Ilya Sinayskiy & Francesco Petruccione, Contemporary Physics, 56:2, 172-185 (2015).
"Artificial intelligence for search and discovery of quantum materials," Stanev et al., Communications Materials volume 2, Article number: 105 (2021); https://doi.org/10.1038/s43246-021-00209-z.
"Factorization by quantum annealing using superconducting flux qubits implementing a multiplier Hamiltonian," Sci Rep 12, 13669 (2022), Saida, D. et al.; https://doi.org/10.1038/s41598-022-17867-9.
Week 6 (10/04)
Quantum Computing: Quantum Machine Learning, NISQ Quantum algorithms, Use Cases
"Quantum-Tailored Machine-Learning Characterization of a Superconducting Qubit," Élie Genois et al., PRX Quantum 2, 040355 – Published 20 December 2021; https://doi.org/10.1103/PRXQuantum.2.040355
“A quantum approximate optimization algorithm (QAOA),” Edward Farhi et al., https://arxiv.org/abs/1411.4028, https://pennylane.ai/qml/demos/tutorial_qaoa_intro.html
Guest Speaker: Dr. Kishor Bharti. “Noisy intermediate scale quantum algorithms, Kishore Bharti et al.,” Mod. Phys. 94, 015004 (2022).
Use Cases
“Exploring quantum computing use cases,” IBM (choose any that you like).
"Solving Vehicle Routing Problem Using Quantum Approximate Optimization Algorithm," U. Azad, B. K. Behera, E. A. Ahmed, P. K. Panigrahi and A. Farouk, IEEE Transactions on Intelligent Transportation Systems.
“The Potential of Quantum Computing and Machine Learning to Advance Clinical Research and Change the Practice of Medicine,” Solenov D, Brieler J, Scherrer JF, Mo Med. 2018 Sep-Oct;115(5):463-467.
Week 7 (10/11)
Quantum Computing: Quantum Machine Learning, Machine Learning for Quantum, Quantum algorithms
“Quantum Optical Convolutional Neural Network: A Novel Image Recognition Framework for Quantum Computing,” Parthasarathy et al., https://ieeexplore.ieee.org/abstract/document/9492087.
“Reinformated learning to optimize noisy quantum circuits,” https://www.osti.gov/biblio/1661681
“Universal quantum logic in hot silicon qubits,” L. Petit et al., Nature volume 580, pages355–359 (2020); https://doi.org/10.1038/s41586-020-2170-7.
“Quantum Algorithm for Linear Systems of Equations,” Aram Harrow et al., Rev. Lett. 150502 (2009).
Guest Speaker: Dr. Brajesh Gupt. “Quantum computational finance: Monte Carlo pricing of financial derivatives,” Patrick Rebentrost et al., Rev. A 98, 022321 (2018).
Week 8 (10/18)
Quantum Communication: Goals, Challenges, Solutions
Quantum Networks from Scratch: Online tutorial developed by Prof. Rod Van Meter, Keio University.
Week 9 (10/25)
Quantum Communications
“Quantum internet: A vision for the road ahead,” Stephanie Wehner et al., Science 19 Vol 362, Issue 6412 (2018).
“Advances in the quantum internet,” Laszlo Gyongyosi, Sandor Imre, Communications of the ACM, Vol. 65 No. 8, Pages 52-63 (2022).
“Optimal architectures for long distance quantum communication,” Sreraman Muralidharan et al., Scientific Reports volume 6, Article number: 20463 (2016).
“Optically Heralded Entanglement of Superconducting Systems in Quantum Networks,” Krastanov et al., https://doi.org/10.1103/PhysRevLett.127.040503.
Extra Reading
“A link layer protocol for quantum networks,” Alex Dahlberg et al., SIGCOMM '19 Proceedings of the ACM Special Interest Group on Data Communication (2019) 159-173.
“An Architecture for Meeting Quality-of-Service Requirements in Multi-User Quantum Networks,” Matthew Skrzypczyk et al., arXiv.
"Routing entanglement in the quantum internet," Mihir Pant et al., npj Quantum Informationvolume 5, Article number: 25 (2019).
"Distributed routing in a quantum internet." Chakraborty, Kaushik, et al., arXiv preprint arXiv:1907.11630(2019).
Week 10 (11/01)
Quantum Communications, Quantum Sensing
“Entanglement Swapping in Quantum Switches: Protocol Design and Stability Analysis,” arXiv.
“On the design and analysis of near-term quantum network protocols using Markov decision processes,” Sumeet Khatri, arXiv.
“Quantum metrology,” Vittorio Giovanetti et al., Rev. Lett. 96, 010401 (2006).
“Advances in photonic quantum sensing,” Stefano Pirandola et al., Nature Photonics 12, 724-733 (2018).
Extra Reading
"Bringing quantum sensors to fruition," Gov.
“Quantum sensing,” L. Degen et al., Rev. Mod. Phys. 89, 035002 (2017).
Week 11 (11/08)
Quantum Sensing continued
"Distributed quantum sensing," Zhang and Zhuang, https://arxiv.org/abs/2010.14744
“Physical-Layer Supervised Learning Assisted by an Entangled Sensor Network,” Quntao Zhuang and Zheshen Zhang, Rev. X 9, 041023 (2019).
Guest Speaker: Dr. Anthony Brady. “Entangled Sensor-Networks for Dark-Matter Searches,” Anthony Brady et al., Rev. X Quantum 3, 030333 (2022).
Extra Reading
“Distributed quantum sensing in a continuous-variable entangled network,” Xueshi Guo et al., Nature Physics 16, pages 281 (2020).
Week 12 (11/15)
Quantum Sensing continued, Quantum Communication revisited, Quantum Cryptography
"Quantum variational optimization," Kaubruegger et al., Rev. X 11, 041045 (2021).
"Entanglement distribution in a quantum network: A multicommodity flow-based approach," Chakraborty, et al., IEEE Transactions on Quantum Engineering1 (2020): 1-21.
Guest Speaker: Dr. Kaushik Chakraborty, “Quantum cryptography based on hardware assumptions”.
Week 13 (11/29)
Quantum Cryptography: Quantum Key Distribution, Bit Commitment.
Non-Technical Reading
Identifying Research Challenges in Post Quantum Cryptography Migration and Cryptographic Agility, CCC.
Technical Reading
“Experimental implementation of bit commitment in the noisy-storage model,” Ng et al., Nature Communications volume 3, Article number: 1326 (2012).
"Advances in quantum cryptography," S. Pirandola et al., Opt. Photon. 12, 1012-1236 (2020).
“Position-Based Quantum Cryptography: Impossibility and Constructions,” Harry Buhrman et al., SIAM Journal on Computing Vol. 43, Iss. 1 (2014).
"Quantum Malware", Wu and Lidar, Quantum Info. Proc. 5, pages 69–81 (2006).
Week 14 (12/06)
Concluding Discussion.