Coventry University Featured PhD Programmes
Heriot-Watt University Featured PhD Programmes
University of Kent Featured PhD Programmes
Sheffield Hallam University Featured PhD Programmes
University College London Featured PhD Programmes

Atomistic modelling of condensed matter on a quantum compute


About This PhD Project

Project Description

Academic supervisor: Prof Dieter Jaksch (DPhil in Condensed Matter Physics) and Prof Charlotte Deane (DPhil in Statistics); IBM co-supervisor: Prof Jason Crain and Dr Vadim Elisseev

The description of multipolar quantum fluctuation is a high-dimensional intrinsically complex many-body problem. In this project, we will develop quantum computing algorithms to start tackling such problems and implement them on the current generation of IBM quantum computers. Hardware specific solutions that utilize the available hardware architectures optimally will be developed.

DPhil in Computational Discovery


The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery.

This innovative course has been developed in close partnership between Oxford University and IBM Research. Each research project has been co-developed by Oxford academics working with IBM scientists. Students will have a named IBM supervisor/s and many opportunities for collaboration with IBM throughout the studentship.

Applicants who are offered places on the DPhil in Computational Discovery will be fully funded. As a minimum, the funding package will include fees at the Home/EU rate, and a stipend for UK students only at the standard Research Council rate (currently £15,009 pa) for the duration of fee liability (four years).

Applications must be received by 12 midday (UK time) on Friday 24 January 2020.

Further details of the projects and how to apply can be found here: https://www.ox.ac.uk/admissions/graduate/courses/dphil-computational-discovery?wssl=1

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully





FindAPhD. Copyright 2005-2020
All rights reserved.