Quantum Software Fundamentals (COMP90084)

Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)

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Overview

Availability(Quotas apply)
Semester 2 - Dual-Delivery
FeesLook 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:

  1. Fundamentals of quantum computing and quantum programming, including running quantum programs on actual cloud-based quantum computers.
  2. Programming fundamental quantum algorithms, such as the Deutsch–Jozsa, Grover, Shor and HHL algorithms.
  3. 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: 31 January 2024

Eligibility and requirements

Prerequisites

Prerequisite options

Admission into the MC-CS Master of Computer Science

OR

Code Name Teaching period Credit Points
MAST10007 Linear Algebra
Summer Term (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
 12.5

OR

Equivalent

AND

One of

Code Name Teaching period Credit Points
COMP10001 Foundations of Computing
Summer Term (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
 12.5
COMP10002 Foundations of Algorithms
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
 12.5
COMP20005 Intro. to Numerical Computation in C
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
 12.5
COMP90041 Programming and Software Development
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
 12.5
COMP90059 Introduction to Programming
Semester 2 (Dual-Delivery - Parkville)
Summer Term (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
 12.5

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: 31 January 2024

Assessment

DescriptionTimingPercentage

Individual Project 1. Combination of written, programming and calculation. Intended Learning Outcomes (ILOs) 1, 2 and 3 are addressed in this assessment.

  • 1500 words
Hurdle requirement: Students must pass this assessment to pass the subject		Week 530%

Individual Project 2 Combination of written, programming and calculation. ILOs 3, 4 and 5 are addressed in this assessment.

  • 1500 words
Hurdle requirement: Students must pass this assessment to pass the subject.		Week 1030%

Final exam. ILOs 1, 2, 4 and 5 are addressed in this assessment.

  • 2 hours
Hurdle requirement: Students must pass the examination to pass the subject.		During the examination period40%

Last updated: 31 January 2024

Quotas apply to this subject

Dates & times

  • Semester 2
    Principal coordinatorUdaya Parampalli
    Mode of deliveryDual-Delivery (Parkville)
    Contact hoursTwo x one hour lectures and one x one-hour workshop per week for 12 weeks.
    Total time commitment200 hours
    Teaching period25 July 2022 to 23 October 2022
    Last self-enrol date 5 August 2022
    Census date31 August 2022
    Last date to withdraw without fail23 September 2022
    Assessment period ends18 November 2022

    Semester 2 contact information

    Udaya Parampalli

    udaya@unimelb.edu.au

Additional delivery details

This subject has an enrollment quota of 40 places. 

Selection method for quota is first come first served.

Last updated: 31 January 2024

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:

    TypeName
    CourseMaster of Computer Science
    CourseMaster 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.

    Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants

    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: 31 January 2024