Quantum control is the critical enabling technology that’s powering the future of hardware - from quantum sensing to quantum computing.
Susceptibility to noise and error limits the range of achievable algorithms running on quantum coherent hardware.
We enable quantum error correction from the device level up, and deliver the AI-driven hardware automation needed to realize true abstraction of quantum computing devices.
The world’s leading engineering teams rely on our infrastructure software and professional services to build error robustness and error correction into their systems, enabling them to deliver quantum advantage to their users.
R&D teams gain an advantage using our quantum control infrastructure software
>10X Gate fidelity
>10X System stability
>10X Device homogeneity
>10X Computational speed
We work with research teams to build stable and reliable quantum hardware without being held back by noise and hardware errors or labor-intensive manual operation.
We offer a complete suite of solutions that automate and accelerate the operation of quantum hardware - from computing to clocks, sensing to metrology. We focus on flexibility and convenience, delivering real value with minimal user effort.
Whether designing fast quantum logic gates with optimal control, combatting platform noise in a cold-atom sensor, or using AI to automate hardware tuneup and calibration, our tools help users move faster and achieve more.See how Boulder Opal works
Navigational stability improvement with hybrid quantum navigation system.
This groundbreaking application of autonomous quantum sensors in space exploration will be invaluable in leveraging extraterrestrial resources to establish permanent human bases on the Moon, Mars and beyond.
Steven Marshall, Premier of South Australia
Gate-level hardware improvement with Q-CTRL robust gates.
We used Qiskit Pulse and Q-CTRL’s Boulder Opal to run error-robust quantum gates on a five-qubit IBM Quantum Canary processor. These results show just how powerful pulse-level control can be for programming a quantum computer over the cloud.
Improvement in algorithmic success with Q-CTRL solutions.
This was a rare opportunity for some of our leading transport innovators and quantum computing experts to come together to tackle complex transport network management and congestion problems.
Andrew Constance, Minister for Transport and Roads
Sensitivity error-source identification during quantum logic.
The team at Q-CTRL was able to rapidly develop a professionally engineered machine learning solution that allowed us to make sense from our data and gain real insights into how to improve our hardware.
Dr. Cornelius Hempel
Reduction in gate duration
It was really easy to go from code to experiments. I started from the relevant notebook in the documentation, followed the steps, adapted when necessary, and it simply worked! We’re now using Q-CTRL pulses that allow us to cut the time of our gates by eight times.
Marina Kudra, PhD student at Chalmers
Improvement in gate robustness to amplitude miscalibration
Q-CTRL’s work has the potential to significantly improve algorithmic performance and hardware stability in quantum processors.
Alex Hill, Rigetti