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PhD Studentship in Quantum Networking with Atomic Ions

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  • Full or part time
    Prof M Keller
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

A 3.5 year PhD position is available in the Ion Trap Cavity-QED and Molecular Physics Group in the Department of Physics & Astronomy at the University of Sussex.

The project unites two distinct areas of quantum information processing, single ions stored in radio-frequency traps, and single photons in optical fibres. In both fields, there have been spectacular advances recently. Strings of ions are presently the most successful implementation of quantum computing, with elementary quantum algorithms and quantum simulations realized. Photons are used to distribute entanglement over ever increasing distances. The principal challenge in the field is to enhance quantum processing power by scaling up current devices to larger quantum systems. We are pursuing one of the most promising strategies, distributed quantum computation, in which multiple small-scale ion processors are interlinked by exchanging photonic quantum bits via optical fibres. It requires a coherent quantum interface between ions and photons, mapping ionic to photonic quantum states and vice versa. To maximise fidelity and success rate of the scheme, the interaction of ions and photons must take place in a microscopic optical cavity with high finesse, a technology in which the Ion Trap Cavity-QED and Molecular Physics group in Sussex has a leading international role. To achieve ultra-small trap and cavity volumes, we use the fibre ends as cavity mirrors and tightly integrate them into the ion trap structure.
The project is within the Quantum Technology Hub for Networked Quantum Information Technologies and in collaboration with the National Physical Laboratory.
The first year of the project is located at the NPL in London to set up and test a novel ion trap design which is based on micro-fabricated structures. In years two and three, the ion tap structure will be combined with laser machined fibre cavities and the ion-cavity coupling will be employed to demonstrate a high fidelity ion-photon entanglement at the University of Sussex. The project provides hands-on training from the construction of state-of-the-art ion trap quantum computing systems through to the implementation of quantum state transfers and entanglement generation.

Type of award
Postgraduate Research

Award amount
£14057(2015-16) per annum tax-free bursary and waiver of UK/EU fees each year for 3.5 years.Full-time study

First class degree in Physics or a 2.1 degree with a Masters or equivalent non-UK qualifications.

Non-UK students must have English at IELTS 6.0 or equivalent, and Overseas students requiring a visa must have an English certificate.

The costs covered are for UK and EU student fees only of £4068 p.a. Overseas (ex-EU) students can apply but must have a plan for raising the addition sums required for the higher fees of £17850 p.a

Application procedure
Send your CV to Dr Matthias Keller at [Email Address Removed]

Early application is advised. The studentship will be allocated as soon as a suitable candidate is found.

The expected start date at Sussex is 1st February 2016 although other starts dates may be negotiable.

Further information
This is a full-time studentship. With agreement of the supervisor the student may take on a limited amount of teaching, for which additional payment will be made.

The award includes an additional training grant of £1250 p.a. for short courses, books, travel, conferences etc.

The on Trap Cavity-QED and Molecular Physics Group webpages can be found here:

Contact details
Informal enquiries should be sent to Dr Matthias Keller

Enquiries about your eligibility, the progress of your application and admission to Sussex, should be sent to Rebecca Foster [Email Address Removed]

Related Subjects

How good is research at University of Sussex in Physics?

FTE Category A staff submitted: 24.72

Research output data provided by the Research Excellence Framework (REF)

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