Our users

Quantum computing developers

Power development teams with quantum control tools. The quantum computing revolution is here – we have built the tools to make it practical.

Solutions for quantum development and software engineering teams

Improve algorithmic speed and performance

Realizing useful computations on quantum computers requires overcoming the true bottleneck in the field: instability and error. Hardware error remains the roadblock on the path to achieving true quantum advantage - including users of cloud quantum computers.

Quantum computers are not like conventional machines. Conventional computers can run for almost a billion years without suffering a hardware fault, but qubits in quantum computers can fail in less than a second.

Screenshot of quantum computing code defining qubit registers, with overlays showing a quantum circuit diagram and a bar chart comparing performance of Fire Opal, competitor, and simulator.

Our users leverage our quantum control infrastructure software to build and deploy real-world quantum applications by simple, seamless, and automated integration of error suppression in their quantum workflows.

Solutions for algorithm researchers

Streamline quantum workflows

Teams with full exposure to the inner workings of quantum computing hardware have had an unfair advantage. We are changing that for our users.

Quantum algorithm researchers seamlessly pass algorithms through our tools and then execute them on cloud hardware. They achieve better algorithmic success and faster execution, all without needing to worry about the hardware.

We enable you to develop and execute error-robust quantum applications for quantum computers now and in the future, enabling scalable development. AI engines autonomously optimize quantum algorithms at the gate and circuit level to deliver the maximum performance achievable in hardware.

Make quantum computing practical with simple Python developer tools so you can focus on building the future, not fixing the hardware.

Effective error suppression for quantum 
computers as a simple, fully-automated solution

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Case studies

Real-world use cases

Working with Q-CTRL gave us a chance to explore a new and fast moving area of technology in a way that was grounded in our real design challenges. The team brought a strong mix of technical expertise and practical focus, helping us understand how quantum machine learning might fit into our workflow. It was a productive and insightful collaboration.
Shimoda Wataru (霜田 航)
,
Mazda Motor Corporation
We were pleasantly surprised to see the optimal routing of 26 trains over 18 minutes of real scheduling data for the full station topology being realised on a real quantum device, which otherwise wouldn’t have been possible without using Q-CTRL’s optimisation solver.
Nadia Hoodbhoy
Principal Engineer
,
Network Rail
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
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
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
,
BlueQubit
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
,
Transport for NSW
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Alice & BobAtom ComputingChalmers UniversityIBM QuantumImperial College LondonION QNorthwestern UniversityRigetti