Fire Opal
Simple and powerful software for algorithm developers and end users to extend the reach of quantum computers
Optimize your quantum algorithms
Use our Python package to automatically reduce error and boost algorithmic success on quantum computers in the NISQ era and beyond.
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Fire Opal at a glance and quickstart
Tutorials
Introduction to the essential Fire Opal features with hands-on exercises
Topics
Background information for the use of Fire Opal for running quantum circuits
User guides
Step-by-step how-to guides for the features in Fire Opal
Application notes
See how we have applied Fire Opal to solve major challenges in the field
Integrations
See how you can use Fire Opal with other platforms and frameworks
References
Module, class, and method reference for Fire Opal software packages
Frequently asked questions
Common questions about Fire Opal
Changelog
Stay up to date with the latest Fire Opal release notes
New to Fire Opal?
Get access to everything you need to automate and optimize quantum hardware performance at scale.
Need support?
Questions? Problems? Need more info? Contact Q-CTRL Support for assistance!
Learning center
Discover the background, history, and context of Q-CTRL's work in quantum computing and quantum sensing.
Research
Discover pioneering original research from the team at Q-CTRL.
Open Controls
Create and deploy established error-robust quantum control protocols from the open literature with Open Controls.