Versatile Python toolkit
Built by the world’s leading team of professional quantum control engineers, Boulder Opal provides everything you need to improve and automate the performance of hardware for quantum computing and quantum sensing.
Deliver results faster
Boulder Opal is designed for speed. You can move your project forward faster and deliver major results on tight timelines with the world-leading AI automation tools.
Outsource painful hardware tuneup, calibration, and optimization tasks to automated agents that interact directly with your hardware
"I am very happy we decided to use your software and would recommend it to anyone wanting to use optimized pulses."
PhD Student, Chalmers University of Technology
Improve hardware performance
You can achieve dramatic improvements in quantum computer and quantum sensor hardware using Boulder Opal.
Robust control can reduce hardware sensitivity to noise and errors, and lab-validated noise characterization routines can help you pinpoint and eliminate sources of performance degradation.
"We have been using Boulder Opal for half a year and it has quickly become an essential tool in our research."
Trapped-ion Quantum Computing, University of Sussex
Maximize team productivity
You can save time in your team by leveraging professionally engineered tools that are fully documented and maintained. Better yet, you can get running in just minutes.
Go from signup to integration in minutes
Boulder Opal integrates with experimental hardware, software packages and custom electronics.Learn More
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.
Frequently asked questions
Our quantum control infrastructure software is designed for R&D professionals who are building the future:
- • Quantum hardware R&D teams
- • Quantum computing service providers
- • Quantum computing researchers
- • Academics and industry experts
With our flexible graph-based optimization engine you can represent any complex quantum system at the Hamiltonian level and choose from a range of optimizers, synthesize solutions from arbitrary basis functions, add constraints, and even accommodate nonlinearities.
Boulder Opal cloud licenses can accommodate an unlimited number of users. We provide recommendations for different license tiers for different group sizes to ensure that internal competition among users does not lead to computational delays.
We have independently validated and published technical validation of key demonstrations on hardware through our research - this includes device-level demonstrations of improvements >10X.
We have also established a range of hardware validations with our customers and R&D partners around the world, collected in our case studies.
Boulder Opal can be used in theoretical research, established hardware, and in bringing new systems online. In our Topics we show a range of simple workflows for different stages of hardware maturity.