Case studies

Integrations

Real-world use cases

Helping our customers gain strategic advantage with quantum technology, all through software.

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.

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
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.

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
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.

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
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

>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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Rigetti

Improving robustness to quantum-logic calibration errors by 7X

As Rigetti released Quil-T, Q-CTRL used Boulder Opal to help demonstrate how it could be leveraged to deliver major performance enhancements to hardware.

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Advanced Navigation

Developing a quantum-assured navigation solution

Partnering with Advanced Navigation to develop a hybrid approach to quantum navigation enabling high positioning accuracy over very long periods of GPS denial.

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The University of Sydney

Making sense of quantum noise with machine learning

Q-CTRL's quantum control engineers developed a new machine-learning tool allowing high-fidelity reconstruction of the spectral “fingerprint” of quantum noise.

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IBM Quantum

Making quantum logic 10X better on quantum computers

Using 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.

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Transport of NSW

Delivering quantum computing for faster commuting

Improving algorithmic success for Transport for NSW's complex transport network management and congestion problems using quantum control infrastructure software

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Chalmers University of Technology

Chalmers achieves 8X faster quantum logic using Boulder Opal

With Boulder Opal, Chalmers was able to design totally new numerically optimized gates that enable massive speedups without introducing new gate errors.

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