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.
Pauli Decomposition via the Fast Walsh-Hadamard Transform
Quantum Simulations of Chemistry in First Quantization with any Basis Set
Quantum Computation of Electronic Structure with Projector Augmented-Wave Method and Plane Wave Basis Set
To reset, or not to reset - that is the question
Leakage Mobility in Superconducting Qubits as a Leakage Reduction Unit
Complementary polynomials in quantum signal processing
PRX Quantum
Tangling schedules eases hardware connectivity requirements for quantum error correction
Reducing the error rate of a superconducting logical qubit using analog readout information
Quantum Journal
Block-encoding structured matrices for data input in quantum computing
Quantum Journal
Error-corrected Hadamard gate simulated at the circuit level
PRX Quantum
Statistical phase estimation and error mitigation on a superconducting quantum processor
Generalized Quantum Singular Value Transformation
Accurate and Honest Approximation of Correlated Qubit Noise
EPJ Quantum Technology
Optimising the quantum/classical interface for efficiency and portability with a multi-level hardware abstraction layer for quantum computers
Nano Futures
Real-time decoding for fault-tolerant quantum computing: progress, challenges, and outlook - Nano Futures (IoP Printing and Graphic Science Group).
Physical Review X
Improved Decoding of Circuit Noise and Fragile Boundaries of Tailored Surface Codes
The Electronic Structure of the Hydrogen Molecule: A Tutorial Exercise in Classical and Quantum Computation
