Progress of Study

Class

Hong Kong University of Science and Technology

Course Code	Course Title	Instructor(s)	Note
	Computer Science
COMP 1029J	Java Programming Bridging Course	Prof. Gibson LAM
COMP 1029P	Python Programming Bridging Course	Prof. Gibson LAM
COMP 1029V	Excel VBA Programming Bridging Course	Prof. Gibson LAM
COMP 2011	Programming with C++	Dr. Ki Cecia CHAN
COMP 2012	Object-Oriented Programming and Data Structures	Prof. Dimitris PAPADOPOULOS
COMP 2611	Computer Organization	Dr. Alex LAM
COMP 2711	Discrete Mathematical Tools for Computer Science	Prof. Wai Ting LEUNG
COMP 3111	Software Engineering	Prof. Wai Ting LEUNG
COMP 3311	Database Management Systems	Prof. Frederick Horst LOCHOVSKY
COMP 3511	Operating Systems	Prof. Kai CHEN
COMP 3632	Principles of Cybersecurity	Prof. Shuai WANG
COMP 3711	Design and Analysis of Algorithms	Prof. Mordecai Jay GOLIN
COMP 4621	Computer Communication Networks I	Prof. Kai CHEN
COMP 5421	Computer Vision	Prof. Chi Keung TANG
COMP 5631	Cryptography and Security	Prof. Cunsheng DING
	Electronic Engineering
ELEC 1200	A System View of Communications: from Signals to Packets	Prof. Ross MURCH
ELEC 2100	Signals and Systems	Dr. Kai Sun Albert WONG
ELEC 2400	Electronic Circuits	Prof. Kevin Jing CHEN
ELEC 3100	Signal Processing and Communications	Prof. Jun ZHANG
ELEC 3200	System Modeling, Analysis and Control	Prof. Yamin YAN
ELEC 3310	Digital Fundamentals and System Design	Prof. Levent YOBAS
ELEC 3500	Microelectronic Devices and Technology	Prof. Man Sun CHAN
ELEC 4110	Digital Communications and Wireless Systems	Prof. Vincent Kin Nang LAU
ELEC 4510	Semiconductor Materials and Devices	Prof. Man Hoi WONG
ELEC 4530	Fundamentals of Photovoltaic and Renewable Energy	Prof. Zhiyong FAN
ELEC 4820	Medical Imaging	Prof Weichuan YU
ELEC 5140	Advanced Computer Architecture	Prof. Wei ZHANG
ELEC 5300	Stochastic Processes	Prof. Weichuan YU
ELEC 5600	Linear-System Theory	Prof. Ling SHI
ELEC 5640	Robot Manipulation	Prof. Jungwon SEO
ELEC 5650	Introduction to Networked Sensing, Estimation and Control	Prof. Ling SHI
ELEC 5820	Microfluidics and Biosensors	Prof. Levent YOBAS
ELEC 6910V	Advance Display Technologies	Prof. Abhishek Kumar SRIVASTAVA
ELEC 6910Y	Topics in Deep NLP	Prof. Pascale FUNG
	Physics
PHYS 1006	Astronomy for Beginners	Prof. Tian Wen CHEN
PHYS 2022	Modern Physics	Prof. Yi WANG
PHYS 2023	Modern Physics Laboratory	Prof. Yi WANG
PHYS 3031	Mathematical Methods in Physics II	Prof. Zhi Yu YANG
PHYS 3032	Classical Mechanics	Dr. Man Fung CHEUNG
PHYS 3034	Electricity and Magnetism II	Prof. Shengwang DU
PHYS 3037	Honors Quantum Mechanics I	Prof. Ho Bun CHAN
PHYS 3038	Optics	Prof. Shengwang DU
PHYS 3040	Introduction to Materials Science	Prof. Weijia WEN
PHYS 3053	Honors Electricity and Magnetism I	Prof. Rolf Walter LORTZ
PHYS 3071	Introduction to Stellar Astrophysics	Dr. Yee Fai NG
PHYS 3142	Computational Methods in Physics	Prof. Junwei LIU
PHYS 3152	Methods of Experimental Physics I	Prof. Yilong HAN
PHYS 4050	Thermodynamics and Statistical Physics	Dr. Sai Kit CHEUNG
PHYS 4051	Quantum Mechanics II	Prof. Kam Tuen LAW
PHYS 4811	Contemporary Applications of Physics: Machine Learning in Physics	Prof. Tao LIU
PHYS 4812	Contemporary Applications of Physics: Quantum Information Technology	Prof. Gyu Boong JO
PHYS 5170	Solid State Physics I	Prof. Kam Tuen LAW
PHYS 6810F	Modern AMO (Atomic Molecular Optical) Physics with Atoms and Photons	Prof. Gyu Boong JO
	Mathematics
MATH 2023	Multivariable Calculus	Dr. Kam Hang Henry CHENG
MATH 2043	Honors Mathematical Analysis	Prof. Maosheng XIONG
MATH 2121	Linear Algebra	Prof. Jian-Shu LI
MATH 2352	Differential Equations	Dr. Avery CHING
MATH 2431	Honors Probability	Prof. Zhigang BAO
MATH 3121	Abstract Algebra	Prof. Yongchang ZHU
MATH 4033	Calculus on Manifolds	Prof. Min YAN
MATH 5143	Introduction to Lie Algebras	Prof. Eric Paul MARBERG
MATH 5312	Advanced Numerical Methods II	Prof. Jianfeng CAI
	Miscellaneous
BIPH 2010	Introductory Biological Physics	Prof. Hyo Keun PARK
BIPH 4010	Principles of Quantitative Instrumentation	Prof. Hyo Keun PARK
CHEM 2311	Analytical Chemistry	Prof. He YAN
ENGG 1110	Engineering Solutions to Grand Challenges of the 21st Century	Prof. Ting Chuen Pong
ENVS 3004	Global Climate Change	Prof. Yan WANG, Prof. Julian MAK
IEDA 2520	Probability for Engineers	Prof. Jiheng ZHANG
ISOM 1380	Technology and Innovation: Social and Business Perspectives	Prof. Se Joon HONG
ISOM 1700	Critical Issues in Business Operations	Prof. Ronald LAU
ISOM 2400	Global Information Infrastructure and Policy	Prof. Yan XU
ISOM 2500	Business Statistics	Prof. Lilun DU
ISOM 3400	Business Applications Development in Python	Jia Jia
ISOM 3710	Business Modeling and Optimization	Prof. Hongtao ZHANG
LANG 1120	Chinese for Non-Chinese Language Background Students I	Dr. Min NUO
LANG 3023	Science Communication in English (Physics)	Dr. Elza TSANG
MECH 5230	Computational Fluid Dynamics and Heat Transfer	Prof. Shuhuai YAO

Summer School

MOOC

Book

Quantum Information

• Machine Learning with Quantum Computers by Maria Schuld and Francesco Petruccione
• Quantum Computation and Quantum Information by Michael A. Nielsen and Isaac L. Chuang

Chemistry

• Atkin’s Physical Chemistry by Peter Atkins, Julio de Paula & James Keeler
• Mathematics for Physical Chemistry by Robert G. Mortimer

Physics

• Introduction to Quantum Mechanics by David J. Griffiths and Darrell F. Schroeter
• Molecular Electronic-Structure Theory by T. Helgaker, P. Jorgensen, and J. Olsen
• Quantum Theory of the Electron Liquid by Gabriel F. Giuliani and Giovanni Vignale

Electronic Engineering

• Signals and Systems by Alan V. Oppenheim, Alan S. Willsky, S. Hamid Nawab

Papers

Quantum Information

Quantum communication

Quantum computation

General

Error mitigation

• van den Berg, E., Minev, Z. K. & Temme, K. Model-free readout-error mitigation for quantum expectation values. Physical Review A 105, (2022).

Quantum Machine learning

• Biamonte, J. et al. Quantum Machine Learning. Nature 549, 195–202 (2017).

• Farhi, E. & Neven, H. Classification with quantum neural networks on near term processors (2018).

• Havlíček, V. et al. Supervised learning with quantum-enhanced feature spaces. Nature 567, 209–212 (2019).

NV center

• Abobeih, M. H. et al. Atomic-scale imaging of a 27-nuclear-spin cluster using a quantum sensor. Nature 576, 411–415 (2019).

Quantum algorithms

• Cerezo, M. et al. Variational quantum algorithms. Nature Reviews Physics 3, 625–644 (2021).

• Ebadi, S. et al. Quantum optimization of maximum independent set using Rydberg atom arrays. Science 376, 1209–1215 (2022).

• Farhi, E., Goldstone, J. & Gutmann, S. A quantum approximate optimization algorithm (2014).

• Liu, J., Wilde, F., Mele, A. A., Jiang, L. & Eisert, J. Stochastic noise can be helpful for variational quantum algorithms (2022).

• McArdle, S., Endo, S., Aspuru-Guzik, A., Benjamin, S. C. & Yuan, X. Quantum computational chemistry. Reviews of Modern Physics 92, (2020).

• McClean, J. R., Romero, J., Babbush, R. & Aspuru-Guzik, A. The theory of variational hybrid quantum-classical algorithms. New Journal of Physics 18, 023023 (2016).

• Peruzzo, A. et al. A variational eigenvalue solver on a photonic quantum processor. Nature Communications 5, (2014).

Quantum gates

Quantum correlations in quantum information

Quantum information processing

Quantum metrology

Quantum optics

Quantum protocols

Quantum simulation

Quantum theory

Topological phase of matter

• Tantivasadakarn, N., Verresen, R. & Vishwanath, A. Shortest route to non-abelian topological order on a quantum processor. Physical Review Letters 131, (2023).

Two-level models

In progress

• Harrow, A. W. & Montanaro, A. Quantum computational supremacy. Nature 549, 203–209 (2017).

Physics

Particles & Fields

Topological Materials

Computer Science

Deep Learning

• LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 521, 436–444 (2015).

Natural Language Processing

• Brown, T. et al. Language models are few-shot learners. Adv. Neur. Inf. Process Sys. 33, 1877–1901 (2020).

• Lewkowycz, A. et al. Solving quantitative reasoning problems with language models (2022).

Carbon Emission

• Patterson, D. et al. Carbon emissions and large neural network training (2021).