Our users

Build the quantum future faster

We enable hardware researchers to push their work to the leading edge

Solutions for cloud quantum computing providers

Integrate quantum error correction into the most advanced quantum computing platforms

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.

Up to 9,000X
algorithmic enhancement on cloud quantum computers

Maximize hardware performance

R&D teams gain an advantage using our quantum control infrastructure software

Gate fidelity
System stability
Device homogeneity
Computational speed

Solutions for quantum R&D teams

The most powerful tools for automation and acceleration at the device level

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.

Real-world use cases

Autonomous quantum sensors in space exploration will be invaluable in leveraging extraterrestrial resources for permanent human bases on the Moon and Mars.
Steven Marshall, Premier of South Australia
We used Qiskit Pulse and Q-CTRL’s Boulder Opal to run error-robust quantum gates on a five-qubit IBM Quantum Canary processor delivering better value for users
A rare opportunity for leading transport innovators and quantum computing experts to tackle complex transport network management and congestion problems.
Andrew Constance, Minister for Transport and Roads
Collaboration between experimentalists at University of Sydney and quantum control engineers at Q-CTRL breakthrough result published in Physical Review Letters
Dr. Cornelius Hempel
Chalmers University researchers implemented a logical building block for quantum computing that would otherwise have been impossible using standard methods. 
Marina Kudra, PhD student at Chalmers
Q-CTRL’s work has the potential to significantly improve algorithmic performance and hardware stability in quantum processors.
Alex Hill, Rigetti
The breadth and flexibility of Boulder Opal allowed us to create our own optimization scenario and obtain pulses robust to the five most relevant experimental noise sources at the same time! This will be crucial in the development of atomic interferometers to detect dark matter and gravitational waves at currently unexplored frequencies.
Zilin Chen, Postdoc at Northwestern University
We wanted to challenge Fire Opal’s capabilities by running a quite complex, unoptimized circuit. The results were extremely promising. The only comparable results we’ve seen have come from hardware that is currently too expensive to run extensive tests on.
Dr. Valtteri Lahtinen, Chief Scientific Officer & Co-Founder at Quanscient

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Make quantum technology useful