See the light in the dark

Find illumination from quantum algorithms with autonomous hardware-optimized execution

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10X

Deeper circuits

100X

Reduced compute cost

1,000X

Improved accuracy

Fire Opal is the easiest way to make quantum computers useful

An out-of-the-box solution that automatically reduces error and boosts algorithmic success on cloud-accessible quantum computers in the NISQ era and beyond.

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Get the right answer, right now

Run more valuable algorithms on today’s quantum computers by reducing errors automatically.

Transform outputs from random to useful
Expand your application reach with high-depth circuits
Solve challenging problems using hardware-optimized solvers

Improving computational accuracy

Fire Opal achieved 4.5x more accuracy and 2x reduction in execution cost compared to the baseline. The experience clearly indicates how much more cost-effective quantum computing can be when using the right tools.

Dr. Johan de Kleer

Research Fellow, Xerox PARC

Deploy with ease

Get the most out of cloud quantum computers without any specialized knowledge and zero configuration required.

See benefits immediately, with no learning curve
Maximize performance across multiple hardware backends
Integrate with common programming frameworks

Expanding the reach of today’s QPUs

We find particularly appealing that the product is both circuit agnostic and quick, which will allow for fast prototyping. This is valuable in the short term to enable us to push further with end-to-end, proof-of-concept explorations on current hardware.

Julian Van Velzen

CTIO & Head of Quantum Lab, Capgemini

Save time and resources

Reduce compute costs by >100x and achieve superior performance with no extra circuit executions.

See meaningful answers on the first pass - no expensive sampling
Save on compute time by reaching the right answer faster
Make low cost machines perform like premium hardware

Reducing compute costs

The results are extremely promising. The only comparable results we’ve seen have come from hardware too expensive to run.

Dr. Valtteri Lahtinen

Chief Scientific Officer & Co-Founder at Quanscient

How it works

Fire Opal connects directly to supported hardware backends and returns the best output achievable without any user intervention, hardware knowledge or configuration required

What’s included

The most flexible approach to run performance-optimized algorithms on state-of-the-art hardware

Automated error suppression

Fully automated, AI-driven error suppression and mitigation, delivered with a single line of code.

High-level application solvers

Hardware-optimized algorithmic modules for popular subroutines, such as efficient QAOA, VQE, etc. End-to-end optimization improves performance with cost savings of up to 2,500X.

Automated backend selection

Flexible connection to multiple backends and programming languages through a single interface. Automated backend selection coming soon.

Enabling developers and researchers to gain better insights, faster

Fire Opal packages a comprehensive suite of best-in-class AI-driven quantum control techniques into a simple tool. Suppress errors in hardware and circuit execution with a single command.

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