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Unit outline_

OLET2610: Foundations of Quantum Computing

Intensive July - August, 2024 [Block mode] - Camperdown/Darlington, Sydney

What is quantum computing and how does it work? What are the different types of quantum computers? What are the advantages and disadvantages of quantum computing? What are the challenges of developing and using quantum computers? How will quantum computing impact different industries and societies? These are the questions we will seek to answer. This OLE will provide a general introduction to the research field of quantum computing, covering hardware, software, and potential societal impact. The circuit model of quantum computing and example algorithms will be introduced, then building on this knowledge you will code and execute simple algorithms in a quantum software environment. Emphasis will be given to comparing quantum vs 'classical' performance of key algorithms. For hardware, the research challenges in developing quantum computer technology will be introduced, and you will undertake a critical analysis of specific hardware platforms (advantages and challenges). The potential societal impact of quantum computers, and quantum technologies more broadly, will be surveyed. On completion of this OLE, you will have gained an informed appreciation of this new technology and its potential impact, as well as generic skills that allow for the critical assessment and evaluation of potential new technologies.

Unit details and rules

Academic unit Physics Academic Operations
Credit points 2
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

Basic computer literacy, some competency with coding

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Robin Harper, robin.harper@sydney.edu.au
Lecturer(s) Robin Harper, robin.harper@sydney.edu.au
The census date for this unit availability is 1 August 2024
Type Description Weight Due Length
Online task Module 1 exercise
Completion of quizzes and online programming in module 1
5% Week 02
Due date: 28 Jul 2024 at 23:59
15-20 minutes
Outcomes assessed: LO1 LO4
Online task Module 2 exercise
Completion of quizzes and online programming in module 2
5% Week 03
Due date: 04 Aug 2024 at 23:59
15-20 minutes
Outcomes assessed: LO1 LO4
Online task Module 3 exercise
Completion of quizzes and online programming in module 3
10% Week 04
Due date: 11 Aug 2024 at 23:59
30-40 minutes
Outcomes assessed: LO1 LO4
Assignment Coding assignment
Online Module 4.
35% Week 06
Due date: 25 Aug 2024 at 23:59

Closing date: 13 Sep 2024
1‐2 hours
Outcomes assessed: LO1 LO2 LO4
Assignment Group project, Individual written analysis
Report analysing a particular quantum computing platform.
45% Week 07
Due date: 27 Aug 2024 at 23:59

Closing date: 13 Sep 2024
4-5 hours
Outcomes assessed: LO2 LO3 LO5

Assessment summary

- Assessment 1. Completion of quizzes and online programming in module 1.

- Assessment 2. Completion of quizzes and online programming in module 2.

- Assessment 3. Completion of quizzes and online programming in module 3.

- Assessment 4. Online assessment module. Completion of quizzes and online programming and coding exercises in module 4.

- Assessment 5. Complete and submit written assignment.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

Result name

Mark range

Description

High distinction

85 - 100

Demonstrate the learning outcomes for the unit at an exceptional standard. You cover a comprehensive range of concepts accurately and effectively, drawing connections between different concepts. You have included different sources and integrated material from the seminar seamlessly into the assignment.

Distinction

75 - 84

Demonstrate the learning outcomes for the unit at a very high standard. You cover a comprehensive range of concepts in a thoughtful and considered way. Your argument is clear, well-structured and persuasive displaying a strong understanding of the subject matter. You have used a range of quality sources including material from the seminar, which has been well integrated into the work presented.

Credit

65 - 74

Demonstrate the learning outcomes for the unit at a good standard. You cover a range of concepts in a competent way. Consider how you might have developed further connections between ideas. Your argument is clear and structured, but minor lapses in the structure and arguments may be present. You have drawn on good quality sources and have made a reasonable attempt to integrate information from the seminar.

Pass

50 - 64

Demonstrate the learning outcomes for the unit at an acceptable standard. Your assignment demonstrates an adequate understanding of the key concepts. There are some errors in the interpretation or explanation of the concepts or your application of these ideas require further development. Your arguments are basic and may lack clarity or require further development, The nature of your external courses or how you used them requires further attention. Integration of seminar material is cursory.

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard. You have not demonstrated a basic understanding of the concepts required. The argument is poorly developed or lacks clarity. You have not included appropriate sources and/or referenced material covered in the seminar.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy 2023 reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy 2023. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

WK Topic Learning activity Learning outcomes
Week 02 Module 1 - Introduction to Quantum Circuits Online class (3 hr) LO1 LO4
Week 03 Module 2 – Entanglement Online class (3 hr) LO1 LO4
Week 04 Module 3 – Quantum Algorithms Online class (4 hr) LO1 LO4
Week 05 Module 4 – More advanced programming Online class (3 hr) LO1 LO2 LO4
Week 06 Quantum Hardware Platforms Lecture (3 hr) LO2 LO3 LO5
Week 07 Sydney Nano/Lab Tour Science laboratory (2 hr) LO2 LO5

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 2 credit point unit, this equates to roughly 40-50 hours of student effort in total.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. demonstrate an understanding of the difference between quantum and classical computing algorithms
  • LO2. demonstrate an understanding of the challenges in developing quantum computing technology
  • LO3. analyse the societal and research impact of quantum computers
  • LO4. apply quantum computing concepts to create and execute quantum computing algorithms
  • LO5. identify specific challenges that exist in various hardware platforms.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

Students have been given more freedom to select hardware platforms they write their assignment on. Some of module 4 tasks have been expressed differently. The assignment will be discussed earlier.

Equity, Access and Diversity statement

The School of Physics recognises that biases, bullying and discrimination, including but not limited to those based on gender, race, sexual orientation, gender identity, religion and age, continue to impact parts of our community disproportionately. Consequently, the School is strongly committed to taking effective steps to make our environment supportive and inclusive and one that provides equity of access and opportunity for everyone.


The School has Equity Officers as a point of contact for students who may have a query or concern about any issues relating to equity, access and diversity. If you feel you have been treated unfairly, discriminated against, bullied or disadvantaged in any way, you are encouraged to talk to one of the Equity Officers or any member of the Physics staff.


More information can be found at https://sydney.edu.au/science/schools/school-of-physics/equity-access-diversity.html

 

Any student who feels they may need a special accommodation based on the impact of a disability should contact Disability
Services: https://sydney.edu.au/study/academic-support/disability-support.html who can help arrange support.

Work, health and safety

We are governed by the Work Health and Safety Act 2011, Work Health and Safety Regulation 2011 and Codes of Practice. Penalties for non-compliance have increased. Everyone has a responsibility for health and safety at work. The University’s Work Health and Safety policy explains the responsibilities and expectations of workers and others, and the procedures for managing WHS risks associated with University activities.

General Laboratory Safety Rules

  • No eating or drinking is allowed in any laboratory under any circumstances
  • A laboratory coat and closed-toe shoes are mandatory
  • Follow safety instructions in your manual and posted in laboratories
  • In case of fire, follow instructions posted outside the laboratory door
  • First aid kits, eye wash and fire extinguishers are located in or immediately outside each laboratory
  • As a precautionary measure, it is recommended that you have a current tetanus immunisation. This can be obtained from University Health Service: unihealth.usyd.edu.au/

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.