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Quantum Software Fundamentals (COMP90084)
Graduate courseworkPoints: 12.5Online
Please refer to the return to campus page for more information on these delivery modes and students who can enrol in each mode based on their location.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
M. Usman
Casey Myers
Udaya Parampalli
Overview
Availability(Quotas apply) | Semester 2 - Online |
---|---|
Fees | Look up fees |
This subject will explore the fundamentals of quantum programming and quantum algorithm design. The subject will introduce students to a range of different quantum programming platforms and languages, and will include hands-on modules. The students will be prepared to write quantum programs, implement a range of simple quantum algorithms, such as Grover’s and Shor’s algorithms, and to execute quantum programs on a quantum computer through a cloud access.
This subject will be made up of three parts:
- Fundamentals of quantum computing and quantum programming, including running quantum programs on actual cloud-based quantum computers.
- Programming fundamental quantum algorithms, such as the Deutsch–Jozsa, Grover, Shor and HHL algorithms.
- Quantum programming for cutting edge research topics, such as quantum error correction, variational quantum circuits and quantum machine learning.
Intended learning outcomes
On the completion of this subject, students should be able to:
- 1. Develop and understand the fundamental aspects of quantum computing.
- 2. Design and implement simple quantum algorithms on multiple quantum hardware architectures.
- 3. Construct programs for fundamental quantum algorithms on a cloud-based quantum language/architecture.
- 4. Identify the basic building blocks for the fundamental quantum algorithms and understand how/when they can be used in new algorithms.
- 5. Analyse and describe modern quantum algorithms, including quantum error correction, VQE, QAOA and quantum machine learning.
Generic skills
- Ability to undertake problem identification, formulation and solution.
- Ability to utilise a systems approach to solving complex problems and to design for operational performance.
- Ability to manage information and documentation.
- Capacity for creativity and innovations.
- Ability to communicate effectively, with the CIS team and with the community at large.
Last updated: 23 November 2023
Eligibility and requirements
Prerequisites
Both of the following subjects:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MULT90063 | Introduction to Quantum Computing | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
MAST10007 | Linear Algebra |
Summer Term (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
|
12.5 |
or equivalent subject
AND one of the following:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP10001 | Foundations of Computing |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
Summer Term (Online)
|
12.5 |
COMP10002 | Foundations of Algorithms |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
COMP20005 | Engineering Computation |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
COMP90059 | Introduction to Programming |
Semester 1 (Dual-Delivery - Parkville)
Summer Term (Online)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
COMP90041 | Programming and Software Development |
Semester 1 (Online)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
OR equivalent introductory computing programming subject
Corequisites
None
Non-allowed subjects
None
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: 23 November 2023
Assessment
Description | Timing | Percentage |
---|---|---|
Individual Project 1. Combination of written, programming and calculation. Intended Learning Outcomes (ILOs) 1, 2 and 3 are addressed in this assessment.
| Week 5 | 30% |
Individual Project 2 Combination of written, programming and calculation. ILOs 3, 4 and 5 are addressed in this assessment.
| Week 10 | 30% |
Final exam. ILOs 1, 2, 4 and 5 are addressed in this assessment.
| During the examination period | 40% |
Last updated: 23 November 2023
Quotas apply to this subject
Dates & times
- Semester 2 - Online
Principal coordinators Udaya Parampalli, Casey Myers, and M Usman Mode of delivery Online Contact hours Two x one hour lectures and one x one-hour workshop per week for 12 weeks. Total time commitment 200 hours Teaching period 26 July 2021 to 24 October 2021 Last self-enrol date 6 August 2021 Census date 31 August 2021 Last date to withdraw without fail 24 September 2021 Assessment period ends 19 November 2021 Semester 2 contact information
M. Usman
Casey Myers
Udaya Parampalli
Additional delivery details
This subject has an enrollment quota of 40 places.
Selection method for quota is first come first served.
Last updated: 23 November 2023
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Computer Science Course Master of Information Technology - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- 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: 23 November 2023