The School of Computing and Data Science (https://www.cds.hku.hk/) was established by the University of Hong Kong on 1 July 2024, comprising the Department of Computer Science and Department of Statistics and Actuarial Science.

Courses Offered

COMP3316 Quantum Information and Computation

COMP3316 Quantum Information and Computation

2024-25
Instructor(s):Chiribella Giulio
(Class A) No. of credit(s):6
Recommended Learning Hours:
Lecture: 35.0
Tutorial: 4.0
Pre-requisite(s):MATH1013 or MATH1853 or MATH2014 or MATH2101
Co-requisite(s):  
Mutually exclusive with:  
Remarks:

Course Learning Outcomes

1. [Basic Working knowledge]
Able to use the basic rules of quantum theory: states, measurements, gates, composite systems.
2. [Modeling]
Able to model basic information-theoretic tasks in the quantum domain: quantum communication, quantum games, quantum computation.
3. [Higher-level reasoning]
Able to deduce new results from the basic knowledge provided in the course.
4. [Self-learning]
Able to self-learn a new topic and/or to approach a mini research problem.
Mapping from Course Learning Outcomes to Programme Learning Outcomes
 PLO aPLO bPLO cPLO dPLO ePLO fPLO gPLO hPLO iPLO j
CLO 1T,P
CLO 2T,PT,PT,P
CLO 3T,PT,PT,PT,P
CLO 4PPP

T - Teach, P - Practice
For BEng(CompSc) Programme Learning Outcomes, please refer to here.

Syllabus

Calendar Entry:
This course offers an introduction to the interdisciplinary field of quantum information and computation. We will start from the basic rules of quantum theory and become familiar with the counterintuitive notions of quantum superposition and entanglement. In particular, we will see how quantum systems could be used to detect an object without directly interacting with it (Elitzur-Vaidman bomb tester), to increase the amount of bits that can be sent through a transmission line (dense coding), and to increase the chance to win certain games (CHSH game and GHZ game). Once the basics have been covered, we will provide an overview of quantum computation and of major quantum algorithms such as Grover's search algorithm and Shor's factoring algorithm for prime factorization. Finally, we will introduce the upgraded framework of quantum theory, and use it to explore applications to quantum error correction, quantum state discrimination, quantum cryptography, and quantum teleportation.

Detailed Description:

Part 1: Basic quantum theory Mapped to CLOs
Pure states, basic measurements, and reversible processes1
Composite quantum systems1
Part 2: The magic of entanglement Mapped to CLOs
Quantum steering2, 3
Dense coding2, 3
CHSH game and GHZ game2, 3
Part 3: Quantum computation Mapped to CLOs
The quantum circuit model2
Quantum computational complexity and quantum query complexity2, 3
Basic quantum algorithms2, 3
Part 4: Upgraded quantum theory and applications Mapped to CLOs
Mixed states, general measurements, and irreversible processes1, 3
Quantum error correction2, 3
Quantum state discrimination2, 3
The no-cloning theorem2, 3
Introduction to quantum cryptography2, 3
Quantum teleportation 2, 3

Assessment:
Continuous Assessment: 50%
Written Examination: 50%

Teaching Plan

Please refer to the corresponding Moodle course.

Moodle Course(s)

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