University of Technology Sydney

41076 Methods in Quantum Computing

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Subject handbook information prior to 2024 is available in the Archives.

UTS: Information Technology: Computer Science
Credit points: 6 cp

Subject level:

Undergraduate

Result type: Grade and marks

Requisite(s): ((41170 Introduction to Quantum Computing OR 43025 Introduction to Quantum Computing OR 68413 Quantum Physics) AND 37233 Linear Algebra)

Description

Quantum computing is a disruptive new technology since quantum computers promise dramatic advantages over current computers. Recent rapid physical experimental progress has made it possible that large-scalable and functional quantum computers will be built within 10 years. This subject exposes and demystifies quantum computing using a step-by-step approach. It introduces systematically the basic principles of quantum computing, quantum algorithms and programming methodologies and techniques so that the students can develop software to realise the superpower of quantum computers.

Subject learning objectives (SLOs)

Upon successful completion of this subject students should be able to:

1. Explain the advantages of quantum computing over classical computing. (D.1)
2. Evaluate the application of quantum computing technologies to known and unknown contexts. (D.1)
3. Analyse efficiency and complexity of quantum technologies. (D.1)

Course intended learning outcomes (CILOs)

This subject also contributes specifically to the development of the following Course Intended Learning Outcomes (CILOs):

  • Technically Proficient: FEIT graduates apply abstraction, mathematics and discipline fundamentals, software, tools and techniques to evaluate, implement and operate systems. (D.1)

Assessment

Assessment task 1: Quantum technology analysis

Intent:

To practice and hone skills in analysis of quantum protocols

Objective(s):

This assessment task addresses the following subject learning objectives (SLOs):

2 and 3

This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs):

D.1

Type: Exercises
Groupwork: Individual
Weight: 45%
Length:

As required to show working and correct answer.

Assessment task 2: Out of the (Quantum) Box Presentation

Intent:

To articulate and critically assess the known and possible applications of quantum technologies.

Objective(s):

This assessment task addresses the following subject learning objectives (SLOs):

1 and 2

This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs):

D.1

Type: Presentation
Groupwork: Group, group and individually assessed
Weight: 30%
Length:

10-15 minute video

Assessment task 3: Quantum Protocol Project

Intent:

To critically analyse quantum computing protocols, their shortcoming and advantages compared to classical protocols

Objective(s):

This assessment task addresses the following subject learning objectives (SLOs):

1 and 2

This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs):

D.1

Type: Report
Groupwork: Individual
Weight: 25%
Length:

1500-3000 words

Minimum requirements

In order to pass the subject, a student must achieve an overall mark of 50% or more. There is no attendance or partcipation requirements in this subject.

Recommended texts

Michael Nielsen and Isaac Chuang, "Quantum Computation and Quantum Information," Cambridge University Press.

Phillip Kaye, Raymond Laflamme and Michele Mosca, "An Introduction to Quantum Computing", Oxford University Press

Other resources

Additional resources will be given for individual lectures