Our users

Gain your own quantum advantage

Tools to help you build your career in the quantum industry

Solutions for students and professionals

Learn quantum computing

Newcomers to quantum technology can go from zero background to programming real quantum computers with Black Opal - no PhD required!

Featuring interactive and accessible learning modules, students can gain practical skills in quantum computing in just minutes a day.

Black Opal is an educational tool that provides all the required math taught alongside quantum fundamentals with the learner in mind.

It replaces lectures and passive videos with engaging content developed by the world’s largest team of quantum control engineers.

See how Black Opal works

Solutions for research students and PhD candidates

Advanced tools for advanced research

Accelerate quantum research efforts using the world’s most advanced quantum control infrastructure software

Hardware research students

Research students building quantum computers and quantum sensors deploy our powerful AI-based agents to calibrate quantum hardware and quantum gates automatically, design optimized control solutions that perform better in the face of imperfect hardware, and even pinpoint critical hardware issues.

Theoretical researchers

Researchers in quantum information, quantum sensing, and quantum control use our experimentally validated tools to explore and apply the most advanced concepts in quantum control in their work.

With a simple Python interface, our users can integrate industry-leading optimization engines and fully automated noise and error suppression tools right into their programming workflows, whether in numerics or cloud quantum computing hardware.

See how Boulder Opal works

Algorithm researchers

Application specialists and algorithm designers use our automated error suppression tools to gain better insights from their research efforts, faster. Now you can get the most out of cloud quantum computers without any specialized knowledge of error suppression technology, and zero configuration required.

Fire Opal is an out-of-the-box solution for minimizing error and boosting algorithmic success on quantum computers. It packages a comprehensive suite of best-in-class AI-driven quantum control techniques into a simple tool, letting you suppress errors in hardware and circuit execution with a single command.

See how Fire Opal works

Real-world use cases

>180X

Navigational stability improvement.

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

>10X

Gate-level hardware improvement.

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

>200X

Improvement in algorithmic success.

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

<1PPM

Sensitivity error-source identification during quantum logic.

Collaboration between experimentalists at University of Sydney and quantum control engineers at Q-CTRL breakthrough result published in Physical Review Letters

Dr. Cornelius Hempel

>8X

Reduction in gate duration.

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

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

different noise sources can be suppressed simultaneously with a single optimized robust control pulse for atom interferometry.

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

>2,500X

Reduction of quantum compute cost

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