Our users
Quantum hardware suppliers
Bring quantum hardware to market faster with control design and automation software and native error suppression
Solutions for quantum hardware manufacturers
Empowering hardware teams to solve their biggest challenges
Quantum hardware manufacturers are building the underlying devices and need the right tools to design high-performing products, automate their operations, and scale their organizations.
Quantum hardware teams must advance to bigger, higher performing devices, but these systems are notoriously sensitive and hard to control.
Move faster with the most powerful control design and automation solution for the quantum era.
Boulder Opal provides cutting-edge control technologies through a familiar Python client so users can effectively design, automate, and scale quantum hardware.
With the Scale Up package, Q-CTRL uses industry-leading control expertise to collaborate on custom Boulder Opal solutions to solve critical performance and operational problems.
Solutions for quantum hardware providers
Unleash latent hardware performance
Quantum hardware providers are taking complete quantum computing systems and surfacing them as a service on the cloud for broader, more affordable access.
They need tools to maximize the performance and impact of those devices for their clients. Quantum computing end-users are seeking maximum quality of service combined with simplicity when choosing a provider.
Deliver more value to your customers with fully integrated performance management for quantum computing platforms.
Fire Opal offers fully-automated error suppression technology that integrates directly with your platform.
Building on your existing stack and interface, you can offer your customers frictionless performance management as a simple option to unlock the full potential of your platform.
Real-world use cases
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.
14%
increase in logical qubit lifetime
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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
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.
12X
improvement in the likelihood of finding an optimal solution with Fire Opal over the default hardware execution
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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
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.
8X
Better performance in terms of Total Variational Distance (TVD), which measures the deviation from perfect data loading.
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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
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
>2,500X
Reduction of quantum compute cost
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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
