Gain your own quantum advantage
Solutions for students and professionals
Learn quantum computing
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 an 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.
Solutions for research students and PhD candidates
Advanced tools for advanced research
Accelerate quantum research efforts using the world’s most advanced quantum control infrastructure software
Hardware research students
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.
Application specialists and algorithm designers use our automated error suppression tools to gain better insights from their research efforts, faster. Now you can get the most out of cloud quantum computers without any specialized knowledge of error suppression technology, and zero configuration required.
Fire Opal is an out-of-the-box solution for minimizing error and boosting algorithmic success on quantum computers. It packages a comprehensive suite of best-in-class AI-driven quantum control techniques into a simple tool, letting you suppress errors in hardware and circuit execution with a single command.
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.