
Upskill and accelerate with expert tools to gain your own quantum advantage.
Newcomers to quantum technology can go from zero background to programming real quantum computers with Black Opal - no PhD required!
Featuring interactive and accessible learning modules, students can gain practical skills in quantum computing in just minutes a day.

Black Opal is a multi-award-winning educational tool that provides all the required math taught alongside quantum fundamentals with the learner in mind.
It replaces lectures and passive videos with engaging content developed by the world’s largest team of quantum control engineers.

The best way to learn is by practicing on real quantum computers—but hardware errors have held specialists back.
Application specialists and algorithm designers use our AI-powered error-suppression tools to gain better insights from their application-research efforts, faster.

Fire Opal is an out-of-the-box solution for minimizing error and boosting algorithmic success on quantum computers. It’s natively integrated into the world’s leading platforms so you can connect directly into your development workflows.
Powered by AI-driven quantum control, it simplifies and automates error suppression in hardware and circuit execution—no hardware-level expertise required. With a single command, you can achieve more accurate, more reliable results so you can focus on advancing the applications that matter most to you.

We help researchers at all stages push the boundaries of quantum science with the world’s most powerful AI-powered quantum infrastructure software.
Research students building quantum computers and quantum sensors deploy our powerful AI-based agents to calibrate quantum hardware and quantum gates automatically, design optimized control solutions that perform better in the face of imperfect hardware, and even pinpoint critical hardware issues.

Researchers in quantum information, quantum sensing, and quantum control use our experimentally validated tools to explore and apply the most advanced concepts in quantum control in their work.
With a simple Python interface, our users can integrate industry-leading optimization engines and fully automated noise and error suppression tools right into their programming workflows, whether in numerics or cloud quantum computing hardware.



