Vacancies & Studentships
Application deadline: Various deadlines - please check the individual deadline for the institution you want to apply.
These EPSRC Doctoral Training Partnership (DTP) studentships provide funding for a 3-year PhD. Applications are open for all 16 right now and you will need to apply via the host university. Deadlines vary between each university.
Here is the full list of studentships, including a link to the relevant application website and the email address of the lead supervisor, whom you can contact for further information:
Hybrid Quantum-Classical DMFT simulations, Dieter Jaksch (University of Oxford)
Defect engineering in diamond for magnetic field mapping and gradiometry, Jason Smith & Martin Booth (University of Oxford)
Architectures for near-future quantum machine learning and optimisation, Simon Benjamin (University of Oxford)
Quantum computing with photonic networks, Almut Beige (University of Leeds), with Axel Kuhn (University of Oxford) and Elham Kashefi (University of Edinburgh)
Building a node in a diamond quantum computer, Gavin Morley, Mark Newton and Animesh Datta (University of Warwick)
Coherent Absorption Ladder Quantum Memory, Josh Nunn (University of Bath)
Advanced fibre-integrated single photon sources: frequency conversion meets multiplexing, Peter Mosley (University of Bath)
Developing an ion trap quantum co-processor, Winni Hensinger (University of Sussex)
Ultra-low loss optical switches for Ion trap entanglement, James Gates, Corin Gawith and Paul Gow (University of Southampton)
Diamond membrane devices for efficient coupling to vacancy centres, Michael Strain (University of Strathclyde)
Efficient quantum device tuning using machine learning, Edward Laird, Natalia Ares, Andrew Briggs, and Simon Benjamin (University of Oxford)
Demonstrating Quantum Speed up on the NQIT machine, Elham Kashefi (University of Edinburgh)
Microwave to optical conversion, Lapo Bogani, Edward Laird, Andrew Briggs, Martin Kiffner and Dieter Jaksch (University of Oxford)
Efficient Chip-Integrated Photon Counting Detectors, Ian Walmsley and Steven Kolthammer (University of Oxford)
Quantum Networking with Atomic Ions, Dr Matthias Keller (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 ITCM-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.