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Q-CTRL Digest
Boost quantum algorithm performance up to 9,000x with Fire Opal
December 6, 2022
Make quantum technology useful
Infrastructure software to power the quantum future
Real-world quantum outcomes
We are accelerating the pathway to quantum advantage by delivering intelligent infrastructure software to correct errors, autonomously stabilize hardware, and build the next trillion-dollar greenfield industry.
Solve your toughest challenges
We have built the highest-performing techniques and professionally engineered
software products in the industry.
Upskill for the quantum era and empower your team with the best edtech solution for individuals and enterprises.
See the light in the dark. Find illumination from algorithms run on today's quantum processors with automated error suppression.
Gain >1,000x performance improvement on real hardware and achieve >100x reduced compute costs.
Accelerate R&D and deliver huge performance boosts in computing and sensing with professional quantum control software.
Q-CTRL Embedded
Achieve maximum system performance with embedded quantum error correction and AI-enhanced error-suppression software for lab or cloud accessible QPUs - from gate-level optimization through robust compilation.
Maximize quantum volume and improve performance >1,000x.
Software-defined quantum sensors
See the world in a new way by detecting gravity, magnetic fields, and acceleration at unprecedented levels through systems software-stabilized for field deployment.
Accelerate past the competition
Whether you’re an enterprise user working to gain an advantage with quantum computing, leading a high-pace quantum R&D effort, or just discovering this exciting field, our expert team can help you move fast and gain a strategic edge.
Real-world use cases
Cutting-edge technology
We have assembled the world’s foremost team of quantum control experts.
As pioneers in this field, we are driving major advances from device-level optimal control and AI-based automation through to compilation, quantum error correction, and robust cold-atom quantum sensing.
Optimised Bayesian system identification in quantum devices
November 16, 2022
Experimental benchmarking of an automated deterministic error suppression workflow for quantum algorithms
September 14, 2022
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Quantum computing for transport optimization
June 15, 2022
Experimental Deep Reinforcement Learning for Error-Robust Gateset Design on a Superconducting Quantum Computer
May 3, 2022
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