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