Execute Q-CTRL solutions seamlessly on IBM Quantum hardware with Qiskit Pulse
Deploy Q-CTRL solutions efficiently on QM's control hardware and software via the Quantum Orchestration Platform
Develop novel control solutions and execute via Rigetti Quantum Cloud Services
Simulate the dynamics of open quantum systems with QuTiP
Execute the most advanced quantum control on your own hardware
Whether you're designing a quantum stack from the ground up or already running advanced experiments, Q-CTRL can connect directly to your system.
Coded in Python, our tools smoothly integrate with any experimental software stack and allow you to control and characterize your quantum hardware. And with full customization available, our Last-Mile-Integration package lets you automate the most challenging tasks in quantum control for your system.
For our most security-conscious customers, ask about our on-premise cloud solutions and maintain full control of your data.
Don’t wait to take control of your quantum future with Q-CTRL.
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Q-CTRL is trusted by the world’s leading innovators, from information technology and consulting to transport and defense.
Navigational stability improvement with hybrid quantum navigation system.
This groundbreaking application of autonomous quantum sensors in space exploration will be invaluable in leveraging extraterrestrial resources to establish permanent human bases on the Moon, Mars and beyond.
Steven Marshall, Premier of South Australia
Gate-level hardware improvement with Q-CTRL robust gates.
We used Qiskit Pulse and Q-CTRL’s Boulder Opal to run error-robust quantum gates on a five-qubit IBM Quantum Canary processor. These results show just how powerful pulse-level control can be for programming a quantum computer over the cloud.
Improvement in algorithmic success with Q-CTRL solutions.
This was a rare opportunity for some of our leading transport innovators and quantum computing experts to come together to tackle complex transport network management and congestion problems.
Andrew Constance, Minister for Transport and Roads
Sensitivity error-source identification during quantum logic.
The team at Q-CTRL was able to rapidly develop a professionally engineered machine learning solution that allowed us to make sense from our data and gain real insights into how to improve our hardware.
Dr. Cornelius Hempel
Reduction in gate duration
It was really easy to go from code to experiments. I started from the relevant notebook in the documentation, followed the steps, adapted when necessary, and it simply worked! We’re now using Q-CTRL pulses that allow us to cut the time of our gates by eight times.
Marina Kudra, PhD student at Chalmers
Improvement in gate robustness to amplitude miscalibration
Q-CTRL’s work has the potential to significantly improve algorithmic performance and hardware stability in quantum processors.
Alex Hill, Rigetti