Researches in quantum computing, especially quantum walks and quantum annealing. Past work includes Lattice Boltzmann simulations of fluid mixtures.

Physicist by training with background in statistical physics and electronic structure methods, works as computational scientist at Daresbury Laboratory Scientific Computing Department.

Sir Peter Knight FRS is Senior Research Investigator Blackett Lab, Imperial College London and Chair of the Quantum Metrology Institute, National Physical Laboratory

My research consists of the development and application of techniques to model semiconducting materials for energy and microelectronic applications. I focus on the role played by point defects, that is atoms missing from or in the ‘wrong’ positions in a crystal, which is key to the optical and electronic properties of semiconductors. I am particulary interested in how quantum computers can facilitate a step change in the power and accuracy of electronic structure calculations for realistic systems.

Background in Quantum Computation, Quantum Information Theory and Quantum Cryptography. Researching verification and benchmarking of digital and analogue quantum devices (universal and simulators), and quantum algorithms.

Animesh Datta’s research interests include developing quantum algorithms for digital quantum simulations, their accreditation and verification in noisy implementations, and the identification of experimental requirements for near- and long-term quantum processors that can provide reliable results on large problems.

Ash is the Deputy Director – Operation, at the National Quantum Computer Centre (NQCC). He has a background in High Performance Computing. His scientific interests include Exascale Technologies, Quantum Readiness, Quantum Computers, Algorithms & Technologies, Artificial Intelligence, and Cyber Security. Ash holds degrees in Computer Science from the University of London (QMC) and University of Oxford (Oriel College).

Dieter Jaksch’s current research interests include developing quantum algorithms for early generation quantum computers, e.g. for solving non-linear partial differential equations and optimization problems, and extending quantum optical techniques towards controlling quantum materials.

Gabriele received his PhD from Scuola Normale Superiore (Pisa, Italy). He held a postdoctoral position in Trento (Italy) and the Juan de la Cierva Fellowship in Barcelona (Spain) before joining Queen’s University Belfast (UK) as a Lecturer in 2011. His interests are within the area of quantum technologies, trapped ions and ultracold atoms.

Ivan leads the theoretical and computational modelling team in the quantum information processing group at NPL. The primary area of research is on the theoretical and computational modelling of nanoscale devices and on software development for both classical high performance computing architectures and for quantum computers. The used tools are mainly based on density functional theory (DFT) and the non-equilibrium Green’s function (NEGF) formalism. Ivan is one of the main developers of the Smeagol quantum transport code.

James’ research covers various aspects of theoretical nuclear physics. As part of this he is interested in potential applications of quantum computing to calculating properties of nuclear systems.

Leonard is a theoretical computer scientist with a background in theoretical physics, Google PhD fellow at UCL, and CEO of the London-based quantum machine learning company Rahko. His main research interests include machine learning for quantum systems, quantum computing, and numerical linear algebra.

Nick is a physicist by training and his research focuses on quantum computing in continuous time using methods such as quantum walks and quantum annealing. Also interested in establishing a process to develop near term use cases for quantum computing.

Background in large-scale first-principles electronic structure calculations. Researching simple models to demonstrate capability of NISQ devices for molecular and materials modelling.

is a Principal Investigator in the School of Physics and Astronomy and the Astbury Centre for Structural and Molecular Biology at the University of Leeds. Her research uses computer simulations to understand the physical mechanisms underlying biological processes at the molecular level. She has a strong interest in both High Performance Computing (HPC) and simulation method development, and is incoming Chair of the Computational Collaborative Project for Biomolecular Simulation (CCP-BioSim).

Professor of Computational Chemistry and Physics Co-organiser of the initial town meeting held in London 2019 that led to the creation of CCP-QC. Member of UK’s Materials Chemistry Consortium (MCC) and the Materials Molecular Modelling (MMM) Hub.

Reader in Smoothed Particle Hydrodynamics. Interested in developing quantum algorithms for particle-based systems and numerical models for broad engineering application.