Design and analysis of an algorithm-free quantum computing model

Design and analysis of an algorithm-free quantum computing model

Eligibility: UK/EU/International graduates with the required entry requirements

Duration: Full-Time – between three and three and a half years fixed term

Application deadline: This opportunity will only remain open until a suitable candidate is identified and appointed- early application is therefore highly recommended

Interview date: Will be confirmed to shortlisted candidates

Start date: Entry points are September, January and May.

Please apply at the earliest opportunity as this project will be recruited to as soon as a suitable candidate is identified.

For further details contact: Dr Seyed Mousavi

Introduction

Coventry University (CU) and the Research Centre for Data Science (CDS) is inviting applications from suitably-qualified graduates for a self-funded PhD position.

The Research Centre for Data Science (CDS) is based in the Faculty of Engineering, Environment and Computing (EEC) of Coventry University.  It provides a hub to develop cutting edge research in the areas of Artificial Intelligence, Data Science and Future Computing Technologies. The centre has a vocation to push the boundaries of both fundamental science and practical applications. 

About the project

Our computers today, from sophisticated servers to small smartphones, operate based on the same computing model, which requires running a sequence of discrete instructions, specified as an algorithm. This sequential computing paradigm has not yet led to a fast algorithm for an NP-complete problem despite numerous attempts over the past half a century. Unfortunately, even after the introduction of quantum mechanics to the world of computing, we still followed a similar sequential paradigm, which has not yet helped us obtain such an algorithm either.

In this project, a completely different model of computing will be investigated to replace the sequential paradigm of algorithms with inherent parallelism of physical processes that enforce a system to tend to its equilibrium state (for higher entropy). As a consequence, instead of writing algorithms to solve NP-complete problems, we can construct physical systems whose equilibrium states correspond to the desired solutions and let them evolve to search on behalf of us for the solutions. Once such a computing model is designed, its requirements will be identified. 

The proposed model, together with its identified requirements, will be abstract and requires physical implementation. Therefore, the next step will be to identify candidate physical systems, in particular quantum systems, to implement it.

Funding 

This project is offered on a self-funded or externally funded basis. We particular welcome applications from candidates with funding from their home governments or sponsorship from companies.

For the academic year 2020/21:  English, Welsh and EU students can apply to borrow up to £26,445 to help cover the cost of their PhD.  Find out more about PHD Loans.

Benefits

The successful candidate will receive comprehensive research training including technical, personal and professional skills.

All researchers at Coventry University (from PhD to Professor) are part of the Doctoral College and Centre for Research Capability and Development, which provides support with high-quality training and career development activities. 

Entry requirements

  • A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average. 
    PLUS 
    the potential to engage in innovative research and to complete the PhD within a 3.5 years
  • a minimum of English language proficiency (IELTS overall minimum score of 7.0 with a minimum of 6.5 in each component)

How to apply

All applications require full supporting documentation, a covering letter, plus a 2000-word supporting statement showing how the applicant’s expertise and interests are relevant to the project. 

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