We partner with leading quantum hardware companies and university labs to advance the design, engineering and benchmarking of quantum computers, with a core focus on quantum error correction.
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.

Project
Syndrome Extraction on Superconducting Quantum Computers

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

Project
Autonomous quantum technologies (AutoQT)

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

Paper
Improved Decoding of Circuit Noise and Fragile Boundaries of Tailored Surface Codes

Project
The Quantum Data Centre of the Future

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

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

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

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

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

Project
Hitachi Silicon Qubits Hardware Emulator Interface (Pegasus)

Project
Pharmaceutical Feasibility Study

Project
Quantum Computer Benchmarking

Project
Accelerating Drug Discovery

Project
Developing Better Fuel Cells For Clean Energy Storage

Paper
Practical quantum computing: the value of local computation (September 2022)

Project