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Reference Number EP/Y036069/1
Title Towards a practical quantum advantage: Confronting the quantum many-body problem using quantum computers
Status Started
Energy Categories Energy Efficiency (Other) 5%;
Not Energy Related 95%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Physics) 90%;
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 10%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Dr A Smith

Physics and Astronomy
University of Nottingham
Award Type Standard
Funding Source EPSRC
Start Date 01 February 2024
End Date 31 January 2029
Duration 60 months
Total Grant Value £1,266,683
Industrial Sectors
Region East Midlands
Programme Frontier Grants - Starter
 
Investigators Principal Investigator Dr A Smith , Physics and Astronomy, University of Nottingham (100.000%)
Web Site
Objectives
Abstract The quantum behaviour of many interacting particles leads to the emergence of exotic quantum materials, which promise to makeour transport, computers, and power supplies faster, more energy efficient, and cheaper to run. Unfortunately, we have no analyticsolution to the quantum many-body problem and realistic numerical simulations are far beyond the reach of the world'ssupercomputers. This chasm between our simulations and the real-world leaves us searching in the dark for the societal revolutionspromised by quantum materials.In recent years, hype has been escalating around quantum computing as a solution to many unsolved problems, including thequantum many-body problem. Quantum computing provides a completely new paradigm for computation based on the preciseengineering and control of quantum many-body systems, with experiments already beyond proof-of-concept. While quantumcomputers are still in their infancy, we are already experiencing in our everyday lives the impact of machine learning. Given thepotential of quantum computing, it is natural to explore how quantum technology can foster even more powerful machine learningtools, and in-turn how machine learning can facilitate the use of quantum computers.This cross-disciplinary research programme has the ambitious goal of realising a practical quantum advantage using near-termquantum computers. We will establish practical applications for quantum computers, beyond the access of classical numericalmethods. This programme is designed to exploit and develop relationships between quantum entanglement, quantum computing,and machine learning. We put these relationships at the centre of our proposal to generate new approaches to confront the quantum many-body problem, which could ultimately guide the synthesis of new quantum materials
Publications (none)
Final Report (none)
Added to Database 14/02/24