PhD Studentship: Fidelity optimization in an atomic quantum computer
- Employer
- Global Academy Jobs
- Location
- United Kingdom
- Closing date
- Dec 1, 2016
View more
- Sector
- Science, Computer Science and IT, Computer Science, General Computing, Physical Sciences and Engineering, Chemical Engineering, Chemistry
- Hours
- Full Time
- Organization Type
- University and College
- Jobseeker Type
- Academic (e.g. 'Lecturer')
Job Details
PhD Studentship: Fidelity optimization in an atomic quantum computer
Engineering & the Environment
Location: Highfield Campus
Closing Date: Thursday 01 December 2016
Reference: 658315F2
Project Reference: NGCM-0071
Quantum computers will use the coherence of individual quantum systems such as atoms for data storage, and tailored pulses of laser light may perform the computational operations. Although atoms are identical, systematic variations in laser intensity and environment mean that there are variations in the fidelity of these operations. Quantum error correction, specifically using 'composite pulse' techniques, allows the effects of these variations to be significantly reduced.
Composite pulse sequences were invented, and have mostly been developed, for NMR chemistry, and it is to such applications that existing sequences have been tailored. Atomic quantum computation has different aims, constraints and sensitivities, and therefore requires composite pulses of its own. This project will use and extend the computationally efficient toolboxes of Southampton’s Spin Dynamics group to develop composite pulse sequences designed and optimized for the correction of errors in atomic quantum computers, first by addressing the 'beamsplitter' and 'mirror' functions of the underlying matterwave interferometry, then by treating the optimization of more complex operations in their entirety.
If you wish to discuss any details of the project informally, please contact Dr Tim Freegarde, School of Physics & Astronomy, timf@soton.ac.uk, Tel: +44 (0) 2380 592347.
This project is run through participation in the EPSRC Centre for Doctoral Training in Next Generation Computational Modelling (http://ngcm.soton.ac.uk). For details of our 4 Year PhD programme, please see http://www.findaphd.com/search/PhDDetails.aspx?CAID=331&LID=2652.
To apply for this project please visit http://www.ngcm.soton.ac.uk/apply.html
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