AI3SD Video: The Variational Quantum Eigensolver - progress and near term applications for quantum chemistry

Tilly, Jules (2021) AI3SD Video: The Variational Quantum Eigensolver - progress and near term applications for quantum chemistry. Frey, Jeremy G., Kanza, Samantha and Niranjan, Mahesan (eds.) AI3SD Autumn Seminar Series 2021. 13 Oct - 15 Dec 2021. (doi:10.5258/SOTON/AI3SD0164).

Record type: Conference or Workshop Item (Other)

Abstract

The Variational Quantum Eigensolver is among the most promising near term applications for quantum computing. It offers the possibility to model some wave functions accurately in polynomial time. Despite this, many hurdles and open questions remain. We will go through these questions, try discussing possible answers and the direction of research. After this we will discuss recent applications of the methods and integration to quantum chemistry methods such as CASSCF and experimentation on quantum computers.

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Published date: 10 November 2021

Additional Information: Jules specialises in developing quantum machine learning methods for drug discovery with a focus on optimizing algorithm implementation on current / NISQ Quantum Computers. He is a Quantum Research Scientist at Rahko, and is currently completing his PhD at UCL under the supervision of Pr. J. Tennyson. Prior to this, Jules worked for 6+ years in financial services acting as regulatory and strategic advisor for global investment banks such Goldman Sachs, UBS and Citi Bank. He holds degrees in Mathematics, Quantum Physics, Law, Economics, Finance and Public Policy.

Venue - Dates: AI3SD Autumn Seminar Series 2021, 2021-10-13 - 2021-12-15

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