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Developing Quantum Algorithms for Solving Differential Equations - Theoretical Physics, PhD (Funded)

University of Exeter - College of Engineering, Mathematics and Physical Sciences

Qualification Type: PhD
Location: Exeter
Funding for: UK Students, EU Students, International Students
Funding amount: This award provides annual funding to cover tuition fees and a tax-free stipend of at least £15,999 per year. The studentship will be awarded on the basis of merit for 3.5 years of full-time study to commence in March 2022.
Hours: Full Time
Placed On: 17th December 2021
Closes: 31st January 2022
Reference: 4265

Location:

Department Physics and Astronomy, Streatham Campus, Exeter

The University of Exeter’s College of Engineering, Mathematics and Physical Sciences, is inviting applications for a fully-funded PhD studentship to commence in March 2022 or as soon as possible thereafter.  For eligible students the studentship will cover tuition fees plus an annual tax-free stipend of at least £15,999 for 3.5 years full-time, or pro rata for part-time study.  The student would be based in the Department of Physics and Astronomy in the College of Engineering, Mathematics and Physical Sciences at the Streatham Campus in Exeter.

Project Description:

The aim of the advertised PhD programme is to investigate and develop quantum machine learning algorithms based on quantum simulation techniques. The goal of the projects will be solving multisimulation problems, and specifically non-linear partial differential equations (PDE’s) on a quantum computer. Quantum computing represents a powerful framework for performing matrix-based operations using the laws of quantum mechanics and highly controllable devices. Yet, despite the tremendous progress, the challenge of developing efficient quantum algorithms for current and future quantum devices remains open.

The main objective of the PhD work is to study differential equation solvers that can be run on a quantum hardware. The candidate will develop theoretical protocols for solving nonlinear PDEs, and apply it to relevant industrial problems. Additionally, the candidate will prepare an overview of existing protocols, and investigate their scaling for large problem sizes. The project is funded by an industrial partner, and regular interaction with industry is expected. The candidate is also expected to prepare publications, participate in conferences and meetings, and disseminate the results of the PhD work.

This award provides annual funding to cover tuition fees and a tax-free stipend of at least £15,999 per year. The studentship will be awarded on the basis of merit for 3.5 years of full-time study to commence in March 2022.

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