About the Project
This project unites two distinct areas of quantum information processing: single ions stored in radio-frequency traps and single photons in optical fibres. Both fields have seen spectacular advances in recent years. Strings of ions are currently the most successful implementation of quantum computing, with elementary quantum algorithms and quantum simulations realised. 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. This requires novel ion trap structures that facilitate high-performance quantum computation and a photonic interconnect for networking. To create a high efficiency ion-photon interconnect for networking, we use miniature optical cavities. The Ion Trap Cavity-QED and Molecular Physics group in Sussex has a leading role in this field.
The aim of this project is to build and operate a compact ion based quantum information processor. It consists of a linear ion trap with several separate trapping regions in which the ions can be loaded, cooled and quantum information processing can be performed. In addition, the structure contains a trapping region in which an optical micro-cavity is employed as a quantum interconnect between different quantum processors. You will be working within the cavity-QED team to setup a novel ion trap cavity system and to explore schemes for quantum networking with such a node. Focus of the exploration will be on high fidelity ion-photon entanglement schemes and quantum information processing.
Skills and training:
An important part of this PhD project is the skills development and training. Local training through lecture courses, transferable skills training modules and practical training in the laboratory will be complemented by SEPNet wide training events. These include workshops and training schools.
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