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COMPANY RESEARCH · Software & applications

Q-CTRL

Fire Opal automatically optimizes how circuits run on quantum processors to reduce noise. Its performance-management workflow targets execution quality and supports familiar sampling and observable-estimation interfaces.

Official website ↗
Australia / United States · Research reviewed 7 Sept 2026

Latest record: research brief added · axis ratings unchanged.

Review history 2 records

Record dates show when an assessment or clarification was saved. Review dates show the evidence check. Earlier records were recovered from QubitWire’s source history; no earlier score movement is inferred.

TECHNOLOGY & ACCESS

What it does. Where it fits.

Quantum software: control optimization and error suppression

Who should look closer

Researchers with hardware access who want to benchmark whether better execution improves their circuits.

QubitWire’s editorial assessment of practical fit.

Explore Fire Opal access

IBM documents an experimental Qiskit Function for Premium, Flex and eligible On-Prem plans, with Q-CTRL access requested separately. AWS also documents an IonQ-on-Braket workflow.

Check the current access route ↗
DOCUMENTED EVIDENCE

What has been demonstrated

Published experiments benchmark Fire Opal on IBM systems with up to 16 qubits across several algorithms. AWS separately documents application-oriented IonQ benchmarks and executable Braket integration examples.

arXiv paper · 2209.06864 ↗aws.amazon.com ↗

What remains unresolved

Error suppression does not by itself create fault-tolerant logical qubits. Gains depend on the circuit, device and comparison baseline; total workflow time still includes classical processing.

The next question to watch

How consistently does the gain persist across devices and workloads when accuracy, quantum time and classical processing are all measured?

A research question, not a promised milestone.

QubitWire coverage

No published QubitWire stories currently match this organization. The evidence sources below provide the starting point.

CHECK THE ORIGINALS

Sources & evidence

  1. Experimental benchmarking of an automated deterministic error suppression workflow for quantum algorithms ↗Organization-originated source · 14 Sept 2022

    Fire Opal researchers benchmark an automated error-suppression workflow across multiple algorithms on IBM systems of up to 16 qubits.

  2. Performance Management — A Qiskit Function by Q-CTRL Fire Opal ↗External source (may be a collaborator) · Publication date not stated

    IBM documents Fire Opal circuit execution, result retrieval and access requirements as a Qiskit Function.

  3. Improve quantum workload performance with Q-CTRL Fire Opal for IonQ processors on Amazon Braket ↗Organization-originated source · 11 Mar 2025

    AWS documents Fire Opal availability, benchmark methodology and example code for IonQ processors through Braket.

  4. IonQ and Q-CTRL Partner to Unlock Quantum Optimization with Fire Opal on Forte Quantum Processors ↗Organization-originated source · 23 Apr 2026

    Announcement states Fire Opal Optimization Solver is accessible natively on Forte and Forte Enterprise through IonQ Quantum Cloud.

  5. Q-CTRL integrates Fire Opal with RIKEN's IBM Quantum System Two ↗Organization-originated source · 12 Nov 2025

    Q-CTRL announces an integration in RIKEN's quantum-HPC environment and includes a statement from the responsible RIKEN division director.

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