Our users

Power development teams with quantum control tools

The quantum computing revolution is here – we have built the tools to make it practical

Solutions for quantum development and software engineering teams

Improve algorithmic speed and performance

Realizing useful computations on quantum computers requires overcoming the true bottleneck in the field: instability and error. Hardware error remains the roadblock on the path to achieving true quantum advantage - including users of cloud quantum computers.

Quantum computers are not like conventional machines. Conventional computers can run for almost a billion years without suffering a hardware fault, but qubits in quantum computers can fail in less than a second.

Our users leverage our quantum control infrastructure software to build and deploy real-world quantum applications by simple, seamless, and automated integration of error suppression in their quantum workflows.

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

Solutions for algorithm researchers

Streamline quantum workflows

Teams with full exposure to the inner workings of quantum computing hardware have had an unfair advantage. We are changing that for our users.

Quantum algorithm researchers seamlessly pass algorithms through our tools and then execute on cloud hardware. They achieve better algorithmic success and faster execution, all without needing to worry about the hardware.

We enable you to develop and execute error-robust quantum applications for quantum computers now and in the future, enabling scalable development. AI engines autonomously optimize quantum algorithms at the gate and circuit level to deliver the maximum performance achievable in hardware.

Make quantum computing practical with simple python tools so you can focus on building the future, not fixing the hardware.

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