OLET2610: Intensive March, 2022

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Units OLET2610 Intensive March 2022 [Block mode]

Unit of study_

OLET2610: Foundations of Quantum Computing

Intensive March, 2022 [Block mode] - Camperdown/Darlington, Sydney

Overview

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

Unit code	OLET2610
Academic unit	Physics Academic Operations
Credit points	2
Prohibitions ?	None
Prerequisites ?	None
Corequisites ?	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

Type	Description	Weight	Due	Length
Tutorial quiz	Module 1 exercise Completion of quizzes and online programming in module 1	5%	Week 02 Due date: 25 Feb 2022 at 23:59 Closing date: 10 Apr 2022	15-20 minutes
Outcomes assessed:
Tutorial quiz	Module 2 exercise Completion of quizzes and online programming in module 2	5%	Week 03 Due date: 04 Mar 2022 at 23:59 Closing date: 10 Apr 2022	15-20 minutes
Outcomes assessed:
Tutorial quiz	Module 3 exercise Completion of quizzes and online programming in module 3	10%	Week 04 Due date: 11 Mar 2022 at 23:59 Closing date: 10 Apr 2022	30-40 minutes
Outcomes assessed:
Assignment	Coding assignment See Canvas for more details. Online Module 4.	35%	Week 07 Due date: 03 Apr 2022 at 23:59 Closing date: 10 Apr 2022	1‐2 hours
Outcomes assessed:
Assignment	Group project, Individual written analysis Report analysing a particular quantum computing platform.	45%	Week 07 Due date: 03 Apr 2022 at 23:59 Closing date: 10 Apr 2022	4-5 hours
Outcomes assessed:
= group assignment ?

Assessment summary

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.
Distinction	75 - 84	Demonstrate the learning outcomes for the unit at a very high standard.
Credit	65 - 74	Demonstrate the learning outcomes for the unit at a good standard.
Pass	50 - 64	Demonstrate the learning outcomes for the unit at an acceptable standard.
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see sydney.edu.au/students/guide-to-grades.

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.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

Learning support

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.

Weekly schedule

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

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

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.

Outcomes
Graduate qualities

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
Learning outcomes

Responding to student feedback

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. Other no relevant changes have been made since this unit was last offered. Tours may be delayed until they can be safely offered.

Additional information

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.

Science student portal

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.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Work, health and safety

Disclaimer

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