Undergraduate Course: Quantum Computing Project (PHYS10110)
Course Outline
| School | School of Physics and Astronomy |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 10 (Year 3 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course complements the Quantum Mechanics and Principles of Quantum Mechanics courses by demonstrating an application in computation. Implemented as a project, it also provides a place for students to develop team programming skills of the type routinely employed in a professional setting, and exposure to the associated tools. |
| Course description |
Students will form groups of about six members, who will collaborate to design, implement, and test a program to simulate a quantum computer. They will run Grover's algorithm to search an unordered list on their simulator. They may also implement other quantum algorithms, such as Shor's method for factorization.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | It is RECOMMENDED that students also take
Numerical Recipes (PHYS10090)
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| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2024/25, Available to all students (SV1)
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Quota: 60 |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 4,
Summative Assessment Hours 1,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
93 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
100% coursework |
| Feedback |
Feedback will be given during lectures/meetings, as well as written feedback on the report and verbal feedback on the presentation. |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Distinguish problems of different computational complexity and explain why certain problems are rendered tractable by quantum computation with reference to the relevant concepts in quantum theory.
- Demonstrate an understanding of a quantum computing algorithm by simulating it on a classical computer, and state some of the practical challenges in building a quantum computer.
- Contribute to a medium-scale application program as part of a co-operative team, making use of appropriate collaborative development tools (such as version control systems).
- Produce code and documentation that is comprehensible to a group of different programmers and present the theoretical background and results of a project in written and verbal form.
- Apply knowledge, skills, and understanding in executing a defined project of research, development, or investigation and in identifying and implementing relevant outcomes.
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Reading List
Artur Ekert, Patrick Hayden, and Hitoshi Inamori, Basic concepts in quantum computation, arXiv:quant-ph/0011013.
Michael Nielsen and Isaac Chuang, Quantum Computation and Quantum Information, ISBN: 9780521635035, QA401 Nie.
David Mermin, Quantum Computer Science, ISBN: 9780521876582, QA76.889 Mer. |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | QCPrj |
Contacts
| Course organiser | Prof Anthony Kennedy
Tel: (0131 6)50 5272
Email: Tony.Kennedy@ed.ac.uk |
Course secretary | Ms Lucy Davis-Jenkins
Tel:
Email: ldavisj@ed.ac.uk |
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