Overview

This unit aims to provide students with an accessible introduction to quantum computation and quantum technologies, focusing on a conceptual understanding. It develops intuition about qubits, quantum circuits, and probabilistic computation, and how these differ from classical computing. The unit also aims to build awareness of current and emerging quantum applications, enabling students to critically assess the capabilities, limitations, and potential impact of quantum technologies on industry, society, and the computing profession.

Requisites

Prerequisites

Successful completion of a minimum of 100 credit points or study

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 2
Location
Hawthorn
Start and end dates
03-August-2026
01-November-2026
Last self-enrolment date
16-August-2026
Census date
01-September-2026
Last withdraw without fail date
22-September-2026
Results released date
08-December-2026

Unit learning outcomes

Students who successfully complete this unit will be able to:

  1. Discuss and communicate real‑world applications of quantum technologies and evaluate their potential impact on industry, society, and the computing profession
  2. Describe, in plain language, the key ideas behind quantum computation and explain how they differ from classical computing concepts
  3. Explain how quantum computation is represented using simple circuit diagrams and interpret the behaviour of small quantum circuits at a conceptual and probabilistic level
  4. Run simple quantum programs using a high‑level quantum programming environment or simulator
  5. Analyse which types of problems quantum computers are potentially useful for, and identify key limitations of current quantum technologies compared with classical computing

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
Online 
Learning Activities
1.00 12 weeks 12
On-Campus
Lecture
2.00 12 weeks 24
On-Campus 
Lab
2.00 12 weeks 24
Unspecified Activities 
Independent Learning
7.50 12 weeks 90
Total     150

Assessment

Type Task Weighting ULOs
Quantum Computation Portfolio Individual 20 - 30% 3,4,5
Quantum Technology Portfolio Individual 20 - 30% 1,2,5
Final-Semester Test Individual 40 - 60% 1,2,3,4,5

Hurdle

As the minimum requirements of assessment to pass the unit and meet all Unit Learning Outcomes to a minimum standard, a student must obtain:

  • at least 40% of the possible marks for the portfolios.

Content

  • Introduction to quantum computing and why it matters.
  • Classical information, probability, and computational limits.
  • Qubits and superposition as new information resources.
  • Measurement and probabilistic outcomes in quantum systems.
  • Quantum gates and simple circuit representations.
  • Multi‑qubit systems and entanglement.
  • Reading small quantum circuits.
  • Running basic quantum programs using simulators.
  • Problems where quantum computing may offer advantages.
  • Noise, errors, and current limitations of quantum hardware.
  • Quantum technologies beyond computing: sensing, communication, security.
  • Future directions, impacts, and responsible use of quantum technologies.

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.