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COMPANY RESEARCH · Software & applications

Fermioniq

Calculates samples and observables for quantum circuits with adjustable tensor-network compression.

Official website ↗
Netherlands · Research reviewed 11 Sept 2026

Initial record: initial assessment recorded.

Review history 1 record

Record dates use UTC and 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.

  1. Initial assessment recorded

    Assessment reviewed 11 Sept 2026 · Research reviewed 11 Sept 2026

    Open this evidence record →

    Sources in this record (3)
Identity & attribution
Organization record
Fermioniq (organization-fermioniq)
Recorded role
Tensor-network quantum circuit emulation
Recorded aliases
No aliases recorded in this assessment.
Name and period
No dated name or ownership transition is recorded here. An alias is a search aid, not evidence of a legal ownership relationship.
Product scope
GPU-accelerated matrix-product-state classical emulation.

A company profile may discuss several systems. Capabilities remain attached to the product and conditions named in each source; they do not transfer automatically to related organizations. A verified security relationship has not been attached to this record.

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TECHNOLOGY & ACCESS

What it does. Where it fits.

GPU-accelerated matrix-product-state classical emulation.

Who should look closer

Algorithm developers whose circuits permit controlled tensor-network approximation.

QubitWire’s editorial assessment of practical fit.

Token-based emulator service

Request credentials and follow the versioned quick start; confirm supported features for the chosen native or CUDA-Q interface.

Check the current access route ↗
DOCUMENTED EVIDENCE

What the sources establish

Vendor benchmarks cover Ising-model circuits with a declared bond dimension. NVIDIA provides remote-backend examples, corroborating integration rather than application superiority.

fermioniq.com ↗nvidia.github.io ↗

What remains unresolved

Matrix-product-state cost grows with entanglement; truncated simulations trade accuracy for resources. The CUDA-Q backend does not expose every native feature.

The next question to watch

External benchmark studies reporting accuracy and cost across circuit structures and entanglement regimes.

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.

Open research questions

Editorial questions for this profile. No reviewed closure decision has been recorded; unanswered questions do not lower the official score.

Open research question

External benchmark studies reporting accuracy and cost across circuit structures and entanglement regimes.

What evidence would help

A source addressing this question must identify the named system, experiment or deployment, its conditions, measured outcome and remaining limitations. Does the result count sampling, mitigation and classical processing costs?

What would resolve it?

An editorial review must explain which part of this question the evidence resolves. A roadmap or an announcement alone does not close it.

No resolved, partial or disputed outcome is asserted without a reviewed transition and its evidence.

Suggest evidence
Open research question

Which named system or service can I use under the documented access route?

What evidence would help

Check the current terms for token-based emulator service. Identify the system version, eligibility, restrictions and whether the result used hardware or simulation.

What would resolve it?

Current primary documentation must identify the offering, eligible user and access conditions. An unspecified company-level access claim is insufficient.

No resolved, partial or disputed outcome is asserted without a reviewed transition and its evidence.

Suggest evidence
Open research question

Does the tool support your intended hardware and workflow?

What evidence would help

Provide the source location, relevant product or generation, workload, resource constraints and reported uncertainty. Keep measurements, simulations and announced targets distinct.

What would resolve it?

A source reviewer must map the evidence to this exact scope. Missing disclosure remains unknown; it is not technical failure.

No resolved, partial or disputed outcome is asserted without a reviewed transition and its evidence.

Suggest evidence

Questions are drawn from the existing brief and sector reading guide. Research brief reviewed 11 Sept 2026. Following stores a local bookmark; it does not send email alerts or imply a scheduled review.

Since your review

Scope: Fermioniq. Reading a page never marks its records reviewed.

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Existing material records remain available after setup. Routine rechecks and initial entries are excluded from material counts.

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From claim to assessment

These are the existing assessment claims and their recorded criterion links. A source link is not an independent replication. New research does not change these published ratings automatically.

Source references in method 1.0 · assessment reviewed 11 Sept 2026
Recorded claim & sourceAssessment linkageProvenance & limits
Source 1

Company reports matrix-product-state simulation benchmarks for 36–100-qubit Ising circuits on H100 hardware at a stated bond dimension, with an accuracy/resource trade-off.

Ava — Fermioniq ↗Published Not recorded
Exact source location

No page, figure or section locator is recorded. Open the source and check the claim in its original context.

Capability

Company benchmarks quantify emulator performance for a defined circuit family and bond dimension; broad workload-independent scaling is not established.

Use in practice

The benchmark suite and worked circuit examples demonstrate applications; named external outcome evidence is not provided.

Published rating inputs remain unchanged.		Organization-originated source

Source type: official. Independent replication, experiment date and source-version fingerprint are not separately recorded.

Product and measurement scope: read the named system and conditions in this claim. No normalized product revision is assigned.

Review recorded 11 Sept 2026. Research brief reviewed 11 Sept 2026. These dates do not establish publication or experiment dates.

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Source 2

Versioned documentation covers credentials, Qiskit/Cirq circuits, observables, GPU/noise settings, bond dimension, jobs and returned results.

Fermioniq emulator — Quick Start ↗Published Not recorded
Exact source location

No page, figure or section locator is recorded. Open the source and check the claim in its original context.

Delivery

An accessible supported emulator has versioned operating documentation, authentication and job/result workflows.

Use in practice

The benchmark suite and worked circuit examples demonstrate applications; named external outcome evidence is not provided.

Integration

NVIDIA documents Ava interoperability in CUDA-Q, alongside vendor instructions for Qiskit and Cirq inputs.

Published rating inputs remain unchanged.		Organization-originated source

Source type: technical. Independent replication, experiment date and source-version fingerprint are not separately recorded.

Product and measurement scope: read the named system and conditions in this claim. No normalized product revision is assigned.

Review recorded 11 Sept 2026. Research brief reviewed 11 Sept 2026. These dates do not establish publication or experiment dates.

Report an issue with this claim →
Source 3

NVIDIA documents the remote Ava backend, credentials and code examples; this integration exposes a simplified feature set without noise simulation.

CUDA-Q Tensor Network Simulators — Fermioniq ↗Published Not recorded
Exact source location

No page, figure or section locator is recorded. Open the source and check the claim in its original context.

Integration

NVIDIA documents Ava interoperability in CUDA-Q, alongside vendor instructions for Qiskit and Cirq inputs.

Published rating inputs remain unchanged.		Organization-originated source

Source type: technical. Independent replication, experiment date and source-version fingerprint are not separately recorded.

Product and measurement scope: read the named system and conditions in this claim. No normalized product revision is assigned.

Review recorded 11 Sept 2026. Research brief reviewed 11 Sept 2026. These dates do not establish publication or experiment dates.

Report an issue with this claim →
Revision and evidence-family boundaries

Record reference: 1dee9a54e58d5615d004a5f0c049cb88af5e39fb6f3962d92c43851d3ec22d85. Read prior recorded revisions.

Repeated coverage can describe the same experiment. The assessment does not contain a reviewed claim-family grouping, so the number of links is never shown as a replication count. Source pages can change independently of this saved assessment; the original source text is not archived here.

CHECK THE ORIGINALS

Sources & evidence

  1. Ava — Fermioniq ↗Organization-originated source · Publication date not stated

    Company reports matrix-product-state simulation benchmarks for 36–100-qubit Ising circuits on H100 hardware at a stated bond dimension, with an accuracy/resource trade-off.

  2. Fermioniq emulator — Quick Start ↗Organization-originated source · Publication date not stated

    Versioned documentation covers credentials, Qiskit/Cirq circuits, observables, GPU/noise settings, bond dimension, jobs and returned results.

  3. CUDA-Q Tensor Network Simulators — Fermioniq ↗Organization-originated source · Publication date not stated

    NVIDIA documents the remote Ava backend, credentials and code examples; this integration exposes a simplified feature set without noise simulation.

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