Berkeley Lab
Bleximo
Fermilab
IBM
Imperial College London
NIST
Northwestern University
rigetti
USC Viterbi School of Engineering

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.

Making quantum technology useful with Q-CTRL

the most powerful tools for quantum control in the industry

Simulate quantum dynamics

Characterize hardware

Design error-robust controls

Automate hardware calibration and optimization

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.

Add title
Photo of Marina Kudra
"I am very happy we decided to use your software and would recommend it to anyone wanting to use optimized pulses."
Marina Kudra
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.

Photo of Christophe Valahu
"We have been using Boulder Opal for half a year and it has quickly become an essential tool in our research."
Christophe Valahu
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.

Add title
Photo of Prof. Tim Kovachy
"We have found this platform to be both powerful and user-friendly. Q-CTRL has an understanding team of experts who have frequently met with my group to help us tailor Boulder Opal to our specific needs."
Prof. Tim Kovachy
Atom Interferometers, Northwestern University
Boulder Opal logo

Go from signup to integration in minutes

Boulder Opal integrates with experimental hardware, software packages and custom electronics.

Learn More
Quantum Machines
Qiskit
Quil
Qutip
Artiq

Real-world use cases

Get started now

Make quantum technology useful

Contact Sales
Berkeley Lab
Bleximo
Fermilab
IBM
Imperial College London
NIST
Northwestern University
rigetti
USC Viterbi School of Engineering

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.

You can access a comprehensive documentation suite to help you on your journey. Start with guided Tutorials and overview Topics, and move on to step-by-step “How To” User Guides for solving common problems in quantum computing and quantum sensing with Boulder Opal.

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.