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Scalable Qubit Arrays for Quantum Computation and Optimisation


Project Description

Quantum computation offers a revolutionary approach to information processing, providing a route to efficiently solve classically hard problems such as factorisation and optimisation as well as unlocking new applications in material science and quantum chemistry that could in future be scaled up to accelerate drug design or optimised materials for aerospace and manufacturing. Whilst large-scale applications will require thousands of qubits, in the near-term small (100 qubit) quantum processors will reach a regime in which the quantum hardware is able to solve problems not accessible even on the largest available conventional supercomputers.

This project will develop a new platform for quantum computing based on scalable arrays of neutral atoms that is able to overcome the challenges to scaling of competing technologies. We will develop new hardware to cool and trap arrays of over 100 qubits that will be used to perform both analogue and digital quantum simulation by exploiting the strong long-range interactions of highly excited Rydberg atoms. Together with the quantum software team lead by Prof. Andrew Daley, we will design new analogue and digital algorithms tailored for the neutral-atom platform to target industrially-relevant computation and optimisation problems.

The PhD will be carried out in the Experimental Quantum Optics and Photonics Group in the Physics Department at the University of Strathclyde.

Contact: Dr Jonathan Pritchard ()
Start date: 1st October 2019
Eligibility: EU students only

Funding Notes

Funding is available for UK or EU nationals. All fees are paid together with a tax-free stipend for 4 years, supported by UK Government and Industry. Financial support is included for collaborative work and for presentation of results at national and international conferences.

How good is research at University of Strathclyde in Physics?

FTE Category A staff submitted: 27.00

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

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