Our work

The next generation of quantum knowledge

Learn quantum computing and accelerate research efforts

Empowering individuals and organizations to become quantum ready

We support quantum users at every stage - from learning the building blocks to operating our advanced research-grade solutions. We develop tools and systems that enable leading researchers in quantum technology to push the frontiers of the field.

We also empower the community at the very beginning of a quantum professional’s journey with the tools necessary to help anyone learn quantum computing.

We have a dual mission to help newcomers enter the field, and to make every C-Suite executive quantum conversant. Black Opal removes all barriers to understanding how quantum computing can change the world and gives a competitive edge to individuals and organizations.

Michael J. Biercuk, Founder & CEO at Q-CTRL

Solutions for learning

Go from zero background to programming real quantum computers

Combining accessible and interactive modules with engaging content and gamified skills development, Black Opal is the perfect entry to the field – from curious students to professional developers.

Black Opal can be used independently or as a companion to formal coursework – on campus, or online.

Solutions for research

Accelerate PhD research

We work with academic teams and PhD students who are leading global efforts to make quantum technology a reality.

We understand that the priority for research students and doctoral candidates is speed – and to focus on the big questions in quantum technology - but unstable hardware, onerous manual tasks, and bug hunting in code inevitably gets in the way.

Our advanced quantum control software Boulder Opal provides everything needed to achieve more - and faster through cutting edge AI for hardware, quantum control tools and libraries, and the world’s most comprehensive and best-performing optimization engine for quantum devices. Onboarding to code execution takes less than five minutes.

We support individual users, small teams, or entire institutions through multi-user site licenses.

Find illumination from algorithms run on quantum processors with automated error suppression

Error is the Achilles heel of quantum computing, blocking the insights quantum algorithm designers and quantum information scientists have been chasing in their work.

Managing errors in quantum hardware has been a specialist’s game; algorithm developers and researchers have been stuck with inferior performance, slowing them down.

We have built Fire Opal to support the next generation of quantum algorithm developers and application specialists.

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.

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 enables algorithm researchers to gain better insights from their research efforts, faster.

Get started for free. Simply sign up, install, and run your circuit to experience much better results.

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

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