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EVIDENCE RECORD

IonQ: what changed.

The recorded research and its supporting evidence.

This is a historical record. Read the current company research →

  1. Evidence or assessment clarified · axis ratings unchanged

    Assessment reviewed 6 Sept 2026 · Research reviewed 7 Sept 2026
    What changed
    What the research demonstrates
    Previously

    An IonQ/Synopsys preprint integrates a quantum graph-partitioning routine with LS-DYNA and includes Forte hardware experiments. Larger simulations use classical GPUs; reported runtime gains depend on reusing a computed ordering over many subsequent solves.

    Now

    An IonQ/Synopsys preprint integrates graph partitioning with LS-DYNA. Forte hardware validates 36-node cases; larger runs up to 150 nodes use classical simulation. The best-case runtime reductions rely on selected partitions and reusing the ordering across subsequent solves.

    Retained for this claim (1)
    What remains uncertain
    Previously

    The study's gains depend on the chosen baseline and amortization assumptions. Simulations up to 150 qubits are not 150-qubit Forte hardware runs, and the result is not universal quantum advantage.

    Now

    The headline 5.9–14.6% reductions are best-case simulation results, chosen from the 20 highest-quality partitions per configuration. Hardware runs use 36 qubits. Reduced test workloads, classical baselines and amortization assumptions matter; this is not general quantum advantage.

    Research evidence: Backends — Ion Q Quantum Cloud Documentation
    Previously

    Lists Forte 1 and Forte Enterprise 1 as available 36-qubit hardware, retired Aria/Harmony devices, and separate simulator limits.

    Source title
    Backends — IonQ Quantum Cloud Documentation
    Source publication date
    Not recorded
    Source type
    Vendor technical documentation
    Marked independent
    No
    Now

    Lists Forte 1 and Forte Enterprise 1 as available 36-qubit hardware, retired Aria/Harmony devices, and separate simulator limits.

    Source title
    Backends — IonQ Quantum Cloud Documentation
    Source publication date
    Not recorded
    Source type
    Vendor technical documentation
    Marked independent
    No
    Where to look
    Backend Types → QPU Hardware; Characterization Data
    Source checked
    11 Nov 2026
    Product scope
    Forte 1 and Forte Enterprise 1, 36-qubit hardware
    Source or product version
    Living documentation checked 11 November 2026
    Limitations
    Device availability and calibration vary; an available backend does not establish access for every account.
    Retained for this claim (1)
    Research evidence: End to end performance of quantum accelerated large scale linear algebra workflows
    Previously

    Vendor/customer coauthored preprint, revised August 25, 2026, combines GPU simulation and Forte hardware. Its LS-DYNA gain assumes reusing a reordering over many subsequent solves.

    Source title
    End-to-end performance of quantum-accelerated large-scale linear algebra workflows
    Source publication date
    16 Mar 2026
    Source type
    Vendor and customer research preprint
    Marked independent
    No
    Now

    Forte hardware validates 36-node graph partitions. Larger simulations produce the headline best-case runtime reductions, selected from 20 high-quality partitions per configuration and amortized over repeated solves.

    Source title
    End-to-end performance of quantum-accelerated large-scale linear algebra workflows
    Source publication date
    16 Mar 2026
    Source type
    Vendor and customer research preprint
    Marked independent
    No
    Where to look
    Sections IV-F, V-A, V-B and VI; Figures 5–6
    Source checked
    11 Nov 2026
    Product scope
    IonQ Forte, 36-qubit hardware; larger graph instances simulated
    Source or product version
    arXiv:2603.15515v4, revised 25 August 2026
    Limitations
    The headline range comes from simulated larger instances. Hardware and simulated results must remain separate; best-case selected partitions are not typical performance or general quantum advantage.
    Retained for this claim (1)
    Research evidence: Improve quantum workload performance with Q CTRL Fire Opal for Ion Q processors on Amazon Braket
    Previously

    The AWS, Q-CTRL and IonQ coauthored article documents Forte benchmarks and Braket integration code. Its Aria examples are historical: IonQ now lists Aria hardware as retired.

    Source title
    Improve quantum workload performance with Q-CTRL Fire Opal for IonQ processors on Amazon Braket
    Source publication date
    11 Mar 2025
    Source type
    Partner technical workflow
    Marked independent
    No
    Now

    The AWS, Q-CTRL and IonQ coauthored article documents Forte benchmarks and Braket integration code. Its Aria examples are historical: IonQ now lists Aria hardware as retired.

    Source title
    Improve quantum workload performance with Q-CTRL Fire Opal for IonQ processors on Amazon Braket
    Source publication date
    11 Mar 2025
    Source type
    Partner technical workflow
    Marked independent
    No
    Where to look
    Table 1; contributor affiliations; Getting started with Fire Opal
    Source checked
    11 Nov 2026
    Product scope
    Fire Opal with IonQ Forte on Amazon Braket
    Source or product version
    11 March 2025 article
    Limitations
    Partner-authored benchmarks, not independent replication. Historical Aria examples do not establish current availability; no code was executed during this review.
    Retained for this claim (1)
    Sources used in this record (5)

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