See how we have applied Fire Opal to solve major challenges in the field

Solve weighted and unweighted Max-Cut instances using Fire Opal's built-in QAOA solver

Solve Max-Cut

Solve Max-Cut using Fire Opal

Using Fire Opal's QAOA solver to find solutions to the binary paint shop problem on real hardware

Solve BPSP with QAOA

Solve the binary paint shop problem with QAOA

Apply Fire Opal

Fire Opal

Get started with Fire Opal on IBM Quantum

Get started on IonQ through Amazon Braket

Set up and install Fire Opal

Authenticate using an API key

Start using Fire Opal

Overview

Algorithmic benchmarking results

Cite Fire Opal

Adopt Fire Opal

Supported hardware

Authenticate with IBM credentials

Authenticate with AWS credentials

Migrate from performance management on IBM Cloud

Connect to hardware providers

Discover Fire Opal

Run jobs on quantum hardware

Iterative and batch workloads

View previous jobs and retrieve results

Run batch workloads

Submit jobs

Circuit requirements

Performance improvement factors

Import OpenQASM

Create a circuit with multiple registers

Run parameterized quantum circuits

Configure circuits

Learn to run algorithms

Run variational quantum circuits

Improve the results of quantum phase estimation

QAOA Solver

Define a QAOA cost function

Solve optimization problems

Run algorithms

Execute with Fire Opal

Aqarios Luna

qBraid

Wolfram Quantum Framework

Integrate with Fire Opal

Q-CTRL Visualizer

API References

FAQs

Changelog

Apply Fire Opal

Tutorial

Solve Max-Cut using Fire Opal

Application note

Solve the binary paint shop problem with QAOA

New to Fire Opal?

Additional resources

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Learning center

Research