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Introduction to Quantum Computing (PHYC90045)
Graduate courseworkPoints: 12.5On Campus (Parkville)
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
Availability(Quotas apply) | Semester 2 |
---|---|
Fees | Look up fees |
This subject will introduce students to the world of quantum information technology, focusing on the fast developing area of quantum computing. The subject will cover basic principles of quantum logic operations in both digital and analogue approaches to quantum processors, through to quantum error correction and the implementation of quantum algorithms for real-world problems. In lab-based classes students will learn to use state-of-the-art quantum computer programing and simulation environments to complete a range of projects.
Intended learning outcomes
On completion of this subject, students should:
- Have acquired a basic knowledge of quantum computers and quantum algorithms.
- Have developed a detailed knowledge of quantum logic operations in both digital and analogue approaches to quantum computing.
- Have developed detailed knowledge and practical experience in programming quantum computers to perform high-level algorithmic tasks.
- Understand and be able to communicate advances in quantum computer technology.
Generic skills
- - problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies; - analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis; - collaborative skills: the ability to work in a team in a computer lab-based environment; - time-management skills: the ability to meet regular deadlines
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Familiarity with matrix operations and basic linear algebra.
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
Semester 2
Description | Timing | Percentage |
---|---|---|
Project 1, approximately 2000 words.
| Week 6 | 40% |
Examination, 1 hour.
| During the examination period | 20% |
Project 2, approximately 2000 words.
| Week 12 | 40% |
Last updated: 3 November 2022
Quotas apply to this subject
Dates & times
- Semester 2
Mode of delivery On Campus (Parkville) Contact hours 60 (24 lectures, 12 3 hour computer laboratory sessions) Total time commitment 150 hours Teaching period 3 August 2020 to 1 November 2020 Last self-enrol date 14 August 2020 Census date 21 September 2020 Last date to withdraw without fail 16 October 2020 Assessment period ends 27 November 2020
Time commitment details
Approximately 2.5 hours per contact hour.
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
Recommended texts and other resources
An Introduction to Quantum Computing 1st Edition
by Phillip Kaye, Raymond Laflamme, and Michele Mosca
Quantum Computing: A Gentle Introduction
by Eleanor G. Rieffel and Wolfgang H. Polak
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 3 November 2022