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COMPANY RESEARCH · Software & applications

JIJ

Connects quantum algorithm development with established circuit SDKs and hybrid optimization tools.

Official website ↗
Japan · 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.

Identity & attribution
Organization record
JIJ (organization-jij)
Recorded role
Quantum programming and optimization tooling
Recorded aliases
Jij Inc.
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
Typed Python quantum kernels, intermediate representation, symbolic resource estimates and SDK-specific transpilation.

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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Evidence updates

New evidence to consider

These source updates add context. QRank scores retain their existing assessment dates.

JIJ joins a thermal-fluid solver evaluation · Planned industrial evaluation

JIJ announced selection with Mitsubishi Electric for the JHPC-quantum Test User Program on October 26. The work will evaluate a quantum-classical hybrid linear solver for thermal-fluid analysis.

Source checked
Limits, research question & sources

Selection begins an evaluation; it does not report a completed benchmark, achieved speedup or customer deployment.

Question to follow: How does the complete workflow compare with a strong conventional solver?

TECHNOLOGY & ACCESS

What it does. Where it fits.

Typed Python quantum kernels, intermediate representation, symbolic resource estimates and SDK-specific transpilation.

Who should look closer

Developers comparing quantum backends or experimenting with resource-aware algorithms.

QubitWire’s editorial assessment of practical fit.

Open-source installation

Use the documented release or source installation. The repository explicitly distinguishes its evolving branch from the older package release.

Check the current access route ↗
DOCUMENTED EVIDENCE

What the sources establish

The repository provides a parameterized sampling example and backend executors. JIJ reports a QOBLIB submission, but its news page omits numerical benchmark tables.

github.com ↗j-ij.com ↗

What remains unresolved

Public benchmark participation is not a performance result by itself. Source-branch APIs may change, and application advantage is not established by these sources.

The next question to watch

Transparent workload results with classical baselines and external users reporting reproducible outcomes.

A research question, not a promised milestone.

QubitWire coverage

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

Transparent workload results with classical baselines and external users reporting reproducible outcomes.

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 open-source installation. 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: JIJ. Reading a page never marks its records reviewed.

Keep a baseline and explicitly mark the evidence you have reviewed. This optional journal stays in this browser.

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

Public 7-day, 30-day & full history →

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 announces Qamomile v0.14.0, typed Python quantum programming, symbolic resource estimation and multiple compilation targets.

JIJ Expands Qamomile into a Quantum Programming Language ↗Published 3 Aug 2026
Exact source location

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

Capability

The programming and resource-estimation approach is defined. The reviewed benchmark announcement supplies no numerical application-performance results.

Delivery

Published releases, installable licensed source, ongoing maintenance, execution guidance and a documentation suite support the software offering.

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.

Report an issue with this claim →
Source 2

Apache-licensed code includes installation, execution examples, tests and backend extras. The current source branch differs from the published PyPI release and can introduce breaking changes.

Qamomile — source and developer guide ↗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

Published releases, installable licensed source, ongoing maintenance, execution guidance and a documentation suite support the software offering.

Use in practice

Executable sampling examples and a specific QOBLIB benchmark submission establish demonstrations, without documented customer outcomes.

Integration

Reusable transpiler and executor code, backend-specific installation instructions and maintained documentation cover Qiskit, QURI Parts, CUDA-Q and other targets.

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

Company reports submitting results for a subset of QOBLIB instances; this announcement does not include the numerical results.

JIJ Benchmarks Its Quantum Optimization Method Using QOBLIB ↗Published 21 Aug 2026
Exact source location

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

Capability

The programming and resource-estimation approach is defined. The reviewed benchmark announcement supplies no numerical application-performance results.

Use in practice

Executable sampling examples and a specific QOBLIB benchmark submission establish demonstrations, without documented customer outcomes.

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.

Report an issue with this claim →
Source 4

Documentation supplies optimization modeling, solver, Qamomile and integration guides.

JijZept Documentation ↗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

Published releases, installable licensed source, ongoing maintenance, execution guidance and a documentation suite support the software offering.

Integration

Reusable transpiler and executor code, backend-specific installation instructions and maintained documentation cover Qiskit, QURI Parts, CUDA-Q and other targets.

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: 8d483bd629e14e8b9a04cdbda80f7acc4ec343f9335ba368e77c7483b20f9894. 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. JIJ Expands Qamomile into a Quantum Programming Language ↗Organization-originated source · 3 Aug 2026

    Company announces Qamomile v0.14.0, typed Python quantum programming, symbolic resource estimation and multiple compilation targets.

  2. Qamomile — source and developer guide ↗Organization-originated source · Publication date not stated

    Apache-licensed code includes installation, execution examples, tests and backend extras. The current source branch differs from the published PyPI release and can introduce breaking changes.

  3. JIJ Benchmarks Its Quantum Optimization Method Using QOBLIB ↗Organization-originated source · 21 Aug 2026

    Company reports submitting results for a subset of QOBLIB instances; this announcement does not include the numerical results.

  4. JijZept Documentation ↗Organization-originated source · Publication date not stated

    Documentation supplies optimization modeling, solver, Qamomile and integration guides.

  5. JIJ and Mitsubishi Electric to Evaluate Quantum-Classical Hybrid Computing for Thermal-Fluid Analysis ↗Company announcement · 26 Oct 2026

    JIJ announced selection with Mitsubishi Electric for the JHPC-quantum Test User Program on October 26. The work will evaluate a quantum-classical hybrid linear solver for thermal-fluid analysis.

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