Our work

Quantum computing

A new way to process information using the laws of physics

Unlock real-world quantum computing, 1,000x faster

Quantum computers have the potential to solve problems that are practically impossible on even today’s supercomputers. But before this cutting edge technology can achieve the first commercial demonstration of quantum advantage, quantum computers will need to become much more capable.

We tackle the biggest challenges that the quantum computing industry faces and improve performance by over 1,000X. We do this by unlocking enhanced performance at scale and helping customers bring solutions to market more efficiently — ensuring quantum computing delivers real value to end users.

Solutions for research

Build the future of quantum computing

Errors are the Achilles Heel of quantum computers. Dealing with them is our mission. Making quantum computing useful starts at the bottom of the stack at the hardware-software interface.

We have pioneered the development of quantum firmware to stabilize quantum hardware and build autonomy, so benefits flow all the way to end users. And we provide advanced R&D tools to help you realize this layer.

Boulder Opal provides everything you need to improve and automate the performance of hardware for quantum computing - empowering R&D teams to accelerate roadmaps and release more capable hardware.
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This means greater computational capabilities, delivered sooner.

See how Boulder Opal works

Solutions for algorithm developers

Find illumination from algorithms run on quantum processors with automated error suppression

Suppressing errors requires a deep understanding of the physical and engineering details of quantum hardware. It has been a specialist’s game, limited to a handful of research teams who could make quantum processors achieve things few others could.

Algorithm developers and researchers have been stuck with inferior performance, slowing them down.

Most quantum computer programmers just want the hardware to perform better - that’s exactly what we deliver.

Fire Opal is an out-of-the-box solution for minimizing error and boosting algorithmic success on quantum computers. It delivers effective error suppression technology for quantum computers as a simple, fully automated solution suitable for any user.

Leverage Fire Opal across supported quantum processors to gain meaningful insights from today's quantum hardware that were previously impossible to achieve.

Independently validated to demonstrate up to 9,000x performance improvement over existing techniques, Fire Opal maximizes the success of quantum algorithms without any user intervention, hardware knowledge, or configuration required.

See how Fire Opal works

Solutions for platform vendors

Unleash latent performance in quantum hardware

Deliver greater value and improved usability to your end-users and improve the competitiveness of your platform using tools validated to improve algorithmic success up to 9,000x and to directly increase quantum volume on real hardware.

Q-CTRL Embedded delivers effective error suppression technology for quantum computers as a simple, fully automated solution integrated directly into your hardware platform.

It builds on your existing stack and interface, offering customers a performance-managed solution that gives maximum achievable performance for their algorithms - all with zero settings or configuration.

Q-CTRL Embedded offers a comprehensive workflow from algorithm input in a supported intermediate representation (QASM), and invisibly delivers optimal compilation, error-aware transpilling, and effective error suppression.

With advanced AI-driven gate optimization, circuit-level error suppression, and measurement-error mitigation, Q-CTRL Embedded automatically optimizes any quantum circuit's execution on your hardware, enabling new outcomes for your users that were previously out of reach.

See how Q-CTRL Embedded works

Real-world use cases

>180X

Navigational stability improvement.

Autonomous quantum sensors in space exploration will be invaluable in leveraging extraterrestrial resources for permanent human bases on the Moon and Mars.

Steven Marshall, Premier of South Australia

>10X

Gate-level hardware improvement.

We used 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

>200X

Improvement in algorithmic success.

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

<1PPM

Sensitivity error-source identification during quantum logic.

Collaboration between experimentalists at University of Sydney and quantum control engineers at Q-CTRL breakthrough result published in Physical Review Letters

Dr. Cornelius Hempel

>8X

Reduction in gate duration.

Chalmers University researchers implemented a logical building block for quantum computing that would otherwise have been impossible using standard methods.

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

different noise sources can be suppressed simultaneously with a single optimized robust control pulse for atom interferometry.

The breadth and flexibility of Boulder Opal allowed us to create our own optimization scenario and obtain pulses robust to the five most relevant experimental noise sources at the same time! This will be crucial in the development of atomic interferometers to detect dark matter and gravitational waves at currently unexplored frequencies.

Zilin Chen, Postdoc at Northwestern University

>2,500X

Reduction of quantum compute cost

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 & Co-Founder at Quanscient