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.
This means greater computational capabilities, delivered sooner.
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.
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.
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