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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2015/2016

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DRPS : Course Catalogue : School of Physics and Astronomy : Undergraduate (School of Physics and Astronomy)

Undergraduate Course: Quantum Computing Project (PHYS09058)

Course Outline
SchoolSchool of Physics and Astronomy CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 9 (Year 3 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThis course complements the Quantum Mechanics and Foundations 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 Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Course Delivery Information
Academic year 2015/16, Available to all students (SV1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 98 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) 100% coursework
Feedback Not entered
No Exam Information
Learning Outcomes
- Distinguish problems of different computational complexity.
- 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.
- 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.
- Present the theoretical background and results of a project in written and verbal form.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsQCPrj
Contacts
Course organiserProf Anthony Kennedy
Tel: (0131 6)50 5272
Email:
Course secretaryMrs Bonnie Macmillan
Tel: (0131 6)50 5905
Email:
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