Power development teams with quantum control tools
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.
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.
Real-world use cases
Navigational stability improvement.
Gate-level hardware improvement.
Improvement in algorithmic success.
Sensitivity error-source identification during quantum logic.
Reduction in gate duration.
Improvement in gate robustness to amplitude miscalibration.
different noise sources can be suppressed simultaneously with a single optimized robust control pulse for atom interferometry.
Reduction of quantum compute cost
improvement in the likelihood of finding an optimal solution with Fire Opal over the default hardware execution
increase in logical qubit lifetime