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.

Solutions for learning

Go from zero background to programming real quantum computers

Learning quantum computing doesn’t have to be difficult. While the majority of available material has been limited or overly technical for newcomers to the field, our interactive learning platform addresses this gap.

Black Opal is an interactive learning platform designed to help anyone learn in quantum computing.

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.

See the light in the dark with automated performance optimization

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

Nord Quantique

Nord Quantique is accelerating the path to useful quantum error correction with Boulder Opal

Nord Quantique used Boulder Opal to design a hardware-efficient QEC protocol for a superconducting system where quantum information is encoded in GKP states.

Read the case study

14%

increase in logical qubit lifetime

Given the complexity of the physics at play, being able to perform closed-loop optimization of a few physically motivated parameters of the quantum error correction protocol with Boulder Opal is very valuable to us.

Dany Lachance-Quirion
VP of Quantum Hardware
,
Nord Quantique
Australian Army

Improving Army logistics with quantum computing

With Fire Opal, the Australian Army tested and validated a quantum computing solution on real hardware that promises to outperform their existing methods.

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12X

improvement in the likelihood of finding an optimal solution with Fire Opal over the default hardware execution

Optimally routing 120 convoys can take more than a month of classical computation. The Australian Army is evaluating the potential of quantum computing to provide improvements; however, it’s been difficult to validate the feasibility of a quantum solution due to hardware noise. With Fire Opal, an algorithmic enhancement software, we are able to achieve results on quantum computers that build confidence in our quantum roadmap.

Marcus Doherty
Australian Reserve Officer
,
Australian Army
Blue Qubit

Enabling data loading for quantum machine learning with Fire Opal

BlueQubit demonstrated groundbreaking loading of complex distribution information onto 20 qubits for a QML application by using our error suppression product.

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8X

Better performance in terms of Total Variational Distance (TVD), which measures the deviation from perfect data loading.

As we develop novel techniques to solve some of the quantum industry’s hardest challenges, Fire Opal is an essential tool to reduce the impact of hardware noise and demonstrate successful results with deeper and wider circuits.

Hayk Tepanyan
Chief Technology Officer
,
Blue Qubit
Q-CTRL Partner

Reducing quantum compute costs 2,500X with Fire Opal

With Fire Opal a financial company was able to run algorithms on more cost-effective hardware systems while achieving results comparable to more premium systems

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>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
,
Q-CTRL Partner

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Make quantum technology useful
Alice & BobAtom ComputingChalmers UniversityIBM QuantumImperial College LondonION QNorthwestern UniversityRigetti