Unit name | Quantum Platforms |
---|---|
Unit code | PHYSM0020 |
Credit points | 15 |
Level of study | M/7 |
Teaching block(s) |
Academic Year (weeks 1 - 52) |
Unit director | Professor. Thompson |
Open unit status | Not open |
Pre-requisites |
None |
Co-requisites |
None |
School/department | School of Physics |
Faculty | Faculty of Science |
There are many technologies exploring the possibilities of coherent control of quantum systems and its
application to quantum information science. Each platform has its own strengths and weaknesses, and
there is currently no clear leader. At the same time, each platform has something to teach us about
quantum engineering, and in order to best understand the subtleties of the field and identify opportunities
for progress a quantum engineer needs detailed knowledge of them all.
The course will consist of taught modules that can include lectures from experts, literature reviews by
students, and structured discussion/debate about a platform’s suitability. Modules will be drawn from: ion
trapping, cold atoms, cavity QED, superconductors, solid state quantum dots, continuous variable quantum
optical implementations, nuclear magnetic resonance, nanomechanical devices.
Upon completion of the unit the student should:
- Be able to explain how each platform satisfies the fundamentals of quantum information processing. - Be able to explain the strengths and weaknesses of each platform. - Be able to identify the main players, both experimental and theoretical, in each platform. - Be able to explain the similarities across quantum information platforms, as well as key differences. - Be able to speculate intelligently on a platform’s future.Transferrable skills:
- Critical assessment of technologies. - Formulating and defending one’s scientific opinion amongst others. - Summarising and communicating technical material at the level of current research.The unit will be taught through a combination of
50% of the summative assessment will be an approximately 45 minute presentation on a platform, which will be peer-assessed by the cohort. The other 50% will be a written extended abstract of approximately 1000 words assessed by the instructor.
Peer-assessed marks will be moderated and approved by the unit director
Texts, reviews and research articles appropriate to each module, at the instructor’s discretion.