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Research

We’ve created a world class team of experts to perform research and development on quantum error correction, quantum computing and industry applications.

We partner with leading quantum hardware companies, university labs and industry bodies to advance practical knowledge in the design, engineering and benchmarking of the key components of quantum computers.

We work with leading industry partners in the pharmaceutical, climate science, advanced materials and aerospace sectors to identify specific areas where quantum computing will drive the greatest advances in human progress. 

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Quantum Computation for Periodic Solids in Second Quantization (October 2022)
Paper

Quantum Computation for Periodic Solids in Second Quantization (October 2022)

Authors
Aleksei V. Ivanov, Christoph Sünderhauf, Nicole Holzmann, Tom Ellaby, Rachel N. Kerber, Glenn Jones, Joan Camps
Parallel window decoding enables scalable fault tolerant quantum computation (September 2022)
Paper

Parallel window decoding enables scalable fault tolerant quantum computation (September 2022)

Authors
Luka Skoric, Dan Browne, Kenton Barnes, Neil I. Gillespie, and Earl Campbell
Deltaflow.Decode Technical White Paper (September 2022)
Paper

Deltaflow.Decode Technical White Paper (September 2022)

Authors
Kenton Barnes, Rossy Nhung Nguyen, Luka Skoric
Post-selection-free preparation of high-quality physical qubits (September 2022)
Paper

Post-selection-free preparation of high-quality physical qubits (September 2022)

Authors
Ben Barber, Neil Gillespie, Jake Taylor
Syndrome Extraction on Superconducting Quantum Computers
Project

Syndrome Extraction on Superconducting Quantum Computers

Partners
Rigetti Computing
A perspective on the current state of the art of quantum computing for drug discovery (June 2022)
Paper

A perspective on the current state of the art of quantum computing for drug discovery (June 2022)

Authors
Nick Blunt, Joan Camps, Ophelia Crawford, Róbert Izsák, Sebastian Leontica, Arjun Mirani, Alexandra Moylett, Sam Scivier, Christoph Sünderhauf, Patrick Schopf (Astex), Jake Taylor, Nicole Holzmann
Autonomous quantum technologies (AutoQT)
Project

Autonomous quantum technologies (AutoQT)

Partners
Mind Foundry, National Physics Lab, Oxford Ionics, Seeqc, University of Edinburgh, University of Oxford
Multi-qubit entanglement and algorithms on a neutral atom quantum computer (April 2022)
Paper

Multi-qubit entanglement and algorithms on a neutral atom quantum computer (April 2022)

Authors
Ophelia Crawford, Ben Rogers and Nick Blunt, with researchers from Cold Quanta and University of Wisconsin-Madison
Fragile boundaries of tailored surface codes and improved decoding of circuit-level noise (March 2022)
Paper

Fragile boundaries of tailored surface codes and improved decoding of circuit-level noise (March 2022)

Authors
Earl T. Campbell, Oscar Higgott, Thomas C. Bohdanowicz, Aleksander Kubica, Steven T. Flammia
The Quantum Data Centre of the Future
Project

The Quantum Data Centre of the Future

Partners
ORCA Computing, University of Bristol, University College London, BT KETS Quantum Security, Digital Catapult, National Computing Centre, NCC Group
A Quantum Enhanced Computing Platform for Pharmaceutical R&D (QuPharma)
Project

A Quantum Enhanced Computing Platform for Pharmaceutical R&D (QuPharma)

Partners
SEEQC UK, Oxford Instruments, Merck, Medicines Discovery Catapult, University of Oxford, STFC, NQCC
Quantum computing in pharma – a multi-layer embedding approach for near future applications (February 2022)
Paper

Quantum computing in pharma – a multi-layer embedding approach for near future applications (February 2022)

Authors
Róbert Izsák, Christoph Riplinger (FAccTs), Nick Blunt, Bernardo de Souza (FAccTs), Nicole Holzmann, Ophelia Crawford, Joan Camps, Frank Neese (Max-Planck-Institut für Kohlenforschung), Patrick Schopf (Astex)
Compilation and scaling strategies for a silicon quantum processor with sparse two-dimensional connectivity (January 2022)
Paper

Compilation and scaling strategies for a silicon quantum processor with sparse two-dimensional connectivity (January 2022)

Authors
Ophelia Crawford, James Cruise, Normann Mertig (Hitachi Cambridge Laboratory), Fernando Gonzalez-Zalba (Hitachi Cambridge Laboratory)
Distributed quantum computing and network control for accelerated VQE (January 2022)
Paper

Distributed quantum computing and network control for accelerated VQE (January 2022)

An error-corrected quantum processor for commercial quantum computing (QCorrect)
Project

An error-corrected quantum processor for commercial quantum computing (QCorrect)

Partners
Universal Quantum, Edwards, TMD Technologies, Diamond Microwave, Rolls Royce, Imperial College London, University of Sussex, Sia Partners, Qureca
Hitachi Silicon Qubits Hardware Emulator Interface (Pegasus)
Project

Hitachi Silicon Qubits Hardware Emulator Interface (Pegasus)

Partners
Hitachi Cambridge Laboratory
Pharmaceutical Feasibility Study
Project

Pharmaceutical Feasibility Study

Partners
AstraZeneca
Quantum Computer Benchmarking
Project

Quantum Computer Benchmarking

Partners
NQCC , Science and Technology Facilities Council (STFC)

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