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The quantum research index.

QRank

See what each organization has demonstrated and compare its score with others in the same sector.

Editorial research assessment, not a performance benchmark or stock rating.

Explore rankings
392 listed · 192 research profiles · 77 currently assessedWhat these counts mean

Whole-directory coverage across 8 sectors. The results below follow your selected sector and filters.

Listed
Included in the directory. A listing is not a score or endorsement.
Research profile
A dedicated page with sources and context. It may still be unscored.
Currently assessed
A complete published assessment eligible for the current ranking under Method 1.0. Reviews older than 90 days are excluded.

These groups overlap: an assessed organization is also listed. Score edition .

About QRank

Quantum, in perspective.

Explore documented maturity within each quantum sector. QRank is an editorial research assessment, not a performance benchmark or stock rating.

5 material evidence updates in the past 7 days →
SECTOR INTELLIGENCE

Software & applications

Which tools turn quantum research into something people can use?

22 assessed in software & applications · Score edition 23 Sept 2026 · Method 1.0

Your question: Which organizations match software & applications and my filters?

Search companies, technologies or applications. Arrow keys explore suggestions. Escape keeps your search and closes suggestions.
Rankings · 22
22 assessed organizations in software & applications. Showing 1–12.
Rank1(tie)
Managed quantum cloud access and hybrid-job orchestrationUnited States
85.0 /100 · editorial assessment

Provides a common access layer for supported processors, classical simulators and jobs combining quantum tasks with classical computing.

AWS account and usage-based servicesResearch brief reviewed · brief refresh dueEvidence list: 4 source pages
Capability 3 / 4
Delivery 4 / 4
Use in practice 3 / 4
Integration 4 / 4

Limitation: A shared cloud interface does not imply shared gate sets or equal performance. Analog Aquila programs differ from gate-model circuits; the cited experiments establish use, not commercial speedup.

Full company research →
85.0/ 100
External corroboration

External sources support at least half of the weighted assessment. They can include collaborators; this does not imply independent replication or technical superiority.

4 assessment sourcesAssessment reviewed Assessment refresh due
Why this position? for Amazon Braket

This score reflects documented maturity using the software & applications weighting.

Capability 30% weight
3 / 4 · 22.5 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 30% weight
3 / 4 · 22.5 points
Integration 15% weight
4 / 4 · 15 points

Strength: Current device discovery, calibration queries and managed hybrid-job resources.

Limitation: Access does not make different processors interchangeable. Queues, calibration, gate support, shots and classical execution affect results and total cost.

External corroboration · Assessment reviewed
Score edition · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank1(tie)
Quantum cloud workflows and fault-tolerant resource estimationUnited States
85.0 /100 · editorial assessment

Helps developers write quantum programs, submit supported workloads to cloud providers and explore the resources future error-corrected machines would need.

Open QDK; Azure workspace for cloud jobsResearch brief reviewed · brief refresh dueEvidence list: 4 source pages
Capability 3 / 4
Delivery 4 / 4
Use in practice 3 / 4
Integration 4 / 4

Limitation: That study models error-corrected resources; it does not execute a commercially useful fault-tolerant application. Estimator outputs change with the chosen hardware and error assumptions.

Full company research →
85.0/ 100
External corroboration

External sources support at least half of the weighted assessment. They can include collaborators; this does not imply independent replication or technical superiority.

4 assessment sourcesAssessment reviewed Assessment refresh due
Why this position? for Azure Quantum

This score reflects documented maturity using the software & applications weighting.

Capability 30% weight
3 / 4 · 22.5 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 30% weight
3 / 4 · 22.5 points
Integration 15% weight
4 / 4 · 15 points

Strength: A documented development environment connects quantum programming, hardware submission and resource modeling.

Limitation: Resource estimates describe assumed future architectures, not delivered fault-tolerant execution. Cloud performance remains provider- and workload-specific.

External corroboration · Assessment reviewed
Score edition · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank1(tie)
Hybrid programming and GPU-accelerated circuit simulationUnited States
85.0 /100 · editorial assessment

Lets developers express quantum routines and combine them with classical computing, then select a simulator or supported quantum-hardware backend.

Open SDK; provider accounts for QPUsResearch brief reviewed · brief refresh dueEvidence list: 5 source pages
Capability 3 / 4
Delivery 4 / 4
Use in practice 3 / 4
Integration 4 / 4

Limitation: Choosing a larger simulated circuit does not mean the same workload can run reliably on a QPU. Approximation, memory and entanglement constrain simulation.

Full company research →
85.0/ 100
External corroboration

External sources support at least half of the weighted assessment. They can include collaborators; this does not imply independent replication or technical superiority.

4 assessment sourcesAssessment reviewed Assessment refresh due
Why this position? for NVIDIA CUDA-Q

This score reflects documented maturity using the software & applications weighting.

Capability 30% weight
3 / 4 · 22.5 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 30% weight
3 / 4 · 22.5 points
Integration 15% weight
4 / 4 · 15 points

Strength: Reusable GPU simulation tools and documented access to multiple hardware and cloud backends.

Limitation: GPU simulation runs on classical hardware. MPS approximation and circuit entanglement affect accuracy and cost; simulator scale is not delivered quantum-computer capacity.

External corroboration · Assessment reviewed
Score edition · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank1(tie)
Quantum chemistry algorithms and research SDKJapan
85.0 /100 · editorial assessment

Provides building blocks for circuits and measurements, reusable algorithms and tools to evaluate their execution and resource requirements.

Open-source SDKResearch brief reviewed · brief refresh dueEvidence list: 6 source pages
Capability 3 / 4
Delivery 4 / 4
Use in practice 3 / 4
Integration 4 / 4

Limitation: The complete chemistry pipeline uses classical embedding and post-processing. Its result should not be attributed solely to the SDK or read as proven commercial advantage.

Full company research →
85.0/ 100
Primarily organization-sourced

The assessment is primarily supported by organization-originated evidence. External evidence does not meet the published half-of-weight threshold.

4 assessment sourcesAssessment reviewed Assessment refresh due
Why this position? for QunaSys

This score reflects documented maturity using the software & applications weighting.

Capability 30% weight
3 / 4 · 22.5 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 30% weight
3 / 4 · 22.5 points
Integration 15% weight
4 / 4 · 15 points

Strength: Modular algorithm tools with accessible documentation and an externally reported chemistry workflow.

Limitation: The cited chemistry result combines quantum sampling with substantial classical methods. Agreement with references is not an end-to-end quantum speedup.

Primarily organization-sourced · Assessment reviewed
Score edition · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank5
Quantum control, error suppression and performance softwareAustralia / United States
78.8 /100 · editorial assessment

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.

Explore Fire Opal accessResearch brief reviewed · brief refresh dueEvidence list: 5 source pages
Capability 3 / 4
Delivery 3 / 4
Use in practice 3 / 4
Integration 4 / 4

Limitation: 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.

Full company research →
78.8/ 100
Primarily organization-sourced

The assessment is primarily supported by organization-originated evidence. External evidence does not meet the published half-of-weight threshold.

5 assessment sourcesAssessment reviewed Assessment refresh due
Why this position? for Q-CTRL

This score reflects documented maturity using the software & applications weighting.

Capability 30% weight
3 / 4 · 22.5 points
Delivery 25% weight
3 / 4 · 18.75 points
Use in practice 30% weight
3 / 4 · 22.5 points
Integration 15% weight
4 / 4 · 15 points

Strength: Measured algorithm benchmarks and concrete distribution through established hardware platforms.

Limitation: Performance improvements depend on circuit, hardware and baseline; an up-to multiplier is not a universal gain or proof of quantum advantage.

Primarily organization-sourced · Assessment reviewed
Score edition · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank6
Quantum development environments and cross-provider executionUnited States
77.5 /100 · editorial assessment

Brings development environments, circuit conversion and provider job controls into a common workspace.

Cloud Lab and installable SDKResearch brief reviewed · brief refresh dueEvidence list: 4 source pages
Capability 3 / 4
Delivery 4 / 4
Use in practice 2 / 4
Integration 4 / 4

Limitation: The cited application includes a qBraid author and is a research demonstration. Device availability, supported program transformations and account access still need checking for each workload.

Full company research →
77.5/ 100
Primarily organization-sourced

The assessment is primarily supported by organization-originated evidence. External evidence does not meet the published half-of-weight threshold.

4 assessment sourcesAssessment reviewed Assessment refresh due
Why this position? for qBraid

This score reflects documented maturity using the software & applications weighting.

Capability 30% weight
3 / 4 · 22.5 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 30% weight
2 / 4 · 15 points
Integration 15% weight
4 / 4 · 15 points

Strength: Documented job-lifecycle tooling and preconfigured access to several quantum software environments.

Limitation: The reviewed hardware study includes a qBraid coauthor. It supports a specific application demonstration, without independently establishing broad production outcomes.

Primarily organization-sourced · Assessment reviewed
Score edition · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank7
Quantum-inspired cargo optimizationUruguay
75.0 /100 · editorial assessment

Generates cargo selection and loading alternatives through application APIs.

SaaS API and bounded demoResearch brief reviewed · brief refresh dueEvidence list: 3 source pages
Capability 3 / 4
Delivery 3 / 4
Use in practice 3 / 4
Integration 3 / 4

Limitation: The principal operating evidence is from 2023. PoC improvements are hypothetical alternative loads, and no quantum-hardware speed advantage is established.

Full company research →
75.0/ 100
Primarily organization-sourced

The assessment is primarily supported by organization-originated evidence. External evidence does not meet the published half-of-weight threshold.

3 assessment sourcesAssessment reviewed Assessment refresh due
Why this position? for Quantum-South

This score reflects documented maturity using the software & applications weighting.

Capability 30% weight
3 / 4 · 22.5 points
Delivery 25% weight
3 / 4 · 18.75 points
Use in practice 30% weight
3 / 4 · 22.5 points
Integration 15% weight
3 / 4 · 11.25 points

Strength: A named customer describes a completed trial using historical flight data.

Limitation: The principal operating evidence is from 2023. PoC improvements are hypothetical alternative loads, and no quantum-hardware speed advantage is established.

Primarily organization-sourced · Assessment reviewed
Score edition · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank8(tie)
MATLAB quantum circuit developmentUnited States
70.0 /100 · editorial assessment

Lets MATLAB users build quantum circuits and integrate them into hybrid experiments.

Downloadable MATLAB add-onResearch brief reviewed · brief refresh dueEvidence list: 3 source pages
Capability 2 / 4
Delivery 4 / 4
Use in practice 2 / 4
Integration 4 / 4

Limitation: Examples do not demonstrate commercial advantage or widespread external adoption. Remote backends and some examples require additional products or accounts.

Full company research →
70.0/ 100
Primarily organization-sourced

The assessment is primarily supported by organization-originated evidence. External evidence does not meet the published half-of-weight threshold.

3 assessment sourcesAssessment reviewed Assessment refresh due
Why this position? for MathWorks

This score reflects documented maturity using the software & applications weighting.

Capability 30% weight
2 / 4 · 15 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 30% weight
2 / 4 · 15 points
Integration 15% weight
4 / 4 · 15 points

Strength: Maintained API documentation and worked examples connect classical numerical code to quantum workflows.

Limitation: Examples do not demonstrate commercial advantage or widespread external adoption. Remote backends and some examples require additional products or accounts.

Primarily organization-sourced · Assessment reviewed
Score edition · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank8(tie)
Quantum-device computer-aided designCanada
70.0 /100 · editorial assessment

Connects geometry and electrostatics to quantum states and device dynamics.

Commercial or trial licenseResearch brief reviewed · brief refresh dueEvidence list: 4 source pages
Capability 2 / 4
Delivery 4 / 4
Use in practice 2 / 4
Integration 4 / 4

Limitation: Simulation accuracy depends on model assumptions, material parameters and validation. A tutorial is not evidence of fabricated-device performance or production benefit.

Full company research →
70.0/ 100
Primarily organization-sourced

The assessment is primarily supported by organization-originated evidence. External evidence does not meet the published half-of-weight threshold.

4 assessment sourcesAssessment reviewed Assessment refresh due
Why this position? for Nanoacademic Technologies

This score reflects documented maturity using the software & applications weighting.

Capability 30% weight
2 / 4 · 15 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 30% weight
2 / 4 · 15 points
Integration 15% weight
4 / 4 · 15 points

Strength: Detailed solver, installation and device-workflow documentation.

Limitation: Simulation accuracy depends on model assumptions, material parameters and validation. A tutorial is not evidence of fabricated-device performance or production benefit.

Primarily organization-sourced · Assessment reviewed
Score edition · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank10(tie)
Tensor-network quantum circuit emulationNetherlands
66.3 /100 · editorial assessment

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

Token-based emulator serviceResearch brief reviewed · brief refresh dueEvidence list: 3 source pages
Capability 2 / 4
Delivery 4 / 4
Use in practice 2 / 4
Integration 3 / 4

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

Full company research →
66.3/ 100
Primarily organization-sourced

The assessment is primarily supported by organization-originated evidence. External evidence does not meet the published half-of-weight threshold.

3 assessment sourcesAssessment reviewed Assessment refresh due
Why this position? for Fermioniq

This score reflects documented maturity using the software & applications weighting.

Capability 30% weight
2 / 4 · 15 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 30% weight
2 / 4 · 15 points
Integration 15% weight
3 / 4 · 11.25 points

Strength: Explicit controls for approximation and documented access from established quantum SDKs.

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

Primarily organization-sourced · Assessment reviewed
Score edition · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank10(tie)
Symbolic and numerical quantum programmingUnited States
66.3 /100 · editorial assessment

Combines analytical manipulation, classical simulation and quantum-provider interfaces.

Installable quantum packageResearch brief reviewed · brief refresh dueEvidence list: 2 source pages
Capability 2 / 4
Delivery 4 / 4
Use in practice 2 / 4
Integration 3 / 4

Limitation: Worked examples are not evidence of production quantum advantage. Remote execution requires compatible provider access and setup.

Full company research →
66.3/ 100
Primarily organization-sourced

The assessment is primarily supported by organization-originated evidence. External evidence does not meet the published half-of-weight threshold.

2 assessment sourcesAssessment reviewed Assessment refresh due
Why this position? for Wolfram Research

This score reflects documented maturity using the software & applications weighting.

Capability 30% weight
2 / 4 · 15 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 30% weight
2 / 4 · 15 points
Integration 15% weight
3 / 4 · 11.25 points

Strength: A versioned quantum package within an established mathematical programming environment.

Limitation: Worked examples are not evidence of production quantum advantage. Remote execution requires compatible provider access and setup.

Primarily organization-sourced · Assessment reviewed
Score edition · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank12
Quantum programming and optimization toolingJapan
62.5 /100 · editorial assessment

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

Open-source installationResearch brief reviewed · brief refresh dueEvidence list: 5 source pages
Capability 1 / 4
Delivery 4 / 4
Use in practice 2 / 4
Integration 4 / 4

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

Full company research →
62.5/ 100
Primarily organization-sourced

The assessment is primarily supported by organization-originated evidence. External evidence does not meet the published half-of-weight threshold.

4 assessment sourcesAssessment reviewed Assessment refresh due
Why this position? for JIJ

This score reflects documented maturity using the software & applications weighting.

Capability 30% weight
1 / 4 · 7.5 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 30% weight
2 / 4 · 15 points
Integration 15% weight
4 / 4 · 15 points

Strength: Accessible source, documented execution and a reusable multi-backend development stack.

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

Primarily organization-sourced · Assessment reviewed
Score edition · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Since your review

Scope: Software & applications. 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 →
Coverage, methodology & sector field guide

Equal scores share a position within their sector.

22 assessed / 73 listed

Directory inclusion is separate from assessment.

A field guide to this sectorKnow what to compare

Start with a workload and a baseline

Circuit design, execution tools and application research play different roles. A result on a classical simulator is distinct from an experiment on quantum hardware.

Compilation
Translates a program into instructions for a target device.
Hybrid workflow
Combines classical and quantum processing.

Three questions worth asking

  1. Does the tool support your intended hardware and workflow?
  2. Does the result count sampling, mitigation and classical processing costs?
  3. Can someone outside the company reproduce or use the workflow?
QubitWire’s editorial checklist. See company evidence for specific claims.
Four checks before comparing a hardware claim

Use these questions when reading a company’s sources. They explain comparisons; they do not assign or change a QRank score. Every numerical example below is synthetic.

Best device or typical device?

What population does the headline number describe?

A selected result and a median answer different questions. Compare the same statistic, selection rule, measurement method and population before ordering two devices.

Synthetic sample: five coherence times are 40, 50, 60, 70 and 100 microseconds. The best is 100; the median is 60. Both describe this sample, but neither establishes the performance of every qubit or a useful circuit.

Ask for: Find the sample size, tested device set, excluded measurements, distribution and calibration date. If only the best value is disclosed, leave the median unknown.

NIST: defining mean, median and other measures of location

Link to this check
Tested alone or operating together?

Were nearby qubits active during the measurement?

Operating a gate alone and operating it alongside other gates can expose different unwanted interactions. Simultaneous benchmarking explicitly tests an operating context that an isolated measurement does not establish.

Synthetic comparison: an error estimate rises from 0.2% in isolation to 0.8% with neighboring operations active. That is a 0.6 percentage-point change, or four times the original estimate. Without the method and uncertainty, those two numbers do not diagnose the cause.

Ask for: Find the active qubit set, simultaneous operations, benchmark protocol, uncertainty and calibration window. Do not compare an isolated best case with a simultaneous average as though they were the same test.

Gambetta et al.: individual and simultaneous randomized benchmarking

Link to this check
Error per gate, per cycle or per task?

What exactly counts as one opportunity for error?

A physical-gate error, a logical-cycle error and an application failure rate use different units and protocols. Keep the operation, code and decoding conditions with the result. A smaller percentage with a different denominator does not settle a comparison.

Synthetic classical event model: if ten independent operations each have a 1% chance of a flagged failure, the chance of at least one flag is 1 − 0.99¹⁰, about 9.56%. This is not a conversion from quantum gate infidelity to circuit failure: coherent errors, correlations and cancellation can break that interpretation.

Ask for: Find the error definition, benchmark, number of repetitions and confidence interval. For logical results, also find code distance, cycle definition, decoding method and any discarded trials.

Magesan et al.: the assumptions of interleaved gate benchmarking

Link to this check
Fast operation or fast complete job?

Where does the reported stopwatch start and stop?

Circuit execution is one part of a complete experiment. Preparing the job, waiting for access, repeating measurements and processing the output can each take time. Device usage and elapsed time are also different accounting quantities.

Synthetic job: 1,000 repetitions of a 50-microsecond gate sequence contribute 0.05 seconds. Add 0.25 seconds for readout/reset, 2 seconds of preparation, 10 seconds waiting and 1 second processing: the complete toy job takes 13.3 seconds.

Ask for: Find included stages, repetitions, error-mitigation work, queue treatment and output-quality requirement. Compare equivalent completed tasks before interpreting a speedup.

IBM Quantum: workload usage and execution-time components

Change the assumptions in the experiment-time lesson →

Link to this check

Background sources checked 2026-10-16. The examples are QubitWire teaching calculations, not results from the cited experiments.

Common QRank questions
Does the highest score mean the fastest computer?
No. QRank assesses documented maturity within a sector. Performance depends on the product, workload and test conditions.
Why does a listed organization have no score?
A listing and a complete assessment are different. No published assessment means no score has been published; it does not mean poor performance. An expired assessment can remain in a profile as history.
Does a larger qubit count mean better performance?
No. Physical and error-corrected logical qubits describe different things. Operations, errors and the resources needed for the task matter too.
Do more sources mean stronger proof?
Several pages can describe the same experiment. Company sources can document useful results; external authors may be collaborators. Neither link counts nor external-source badges establish independent replication. The evidence list counts distinct assessment and profile-research URLs; guides can link to additional context.
Does a new source update the score?
No. Research context and assessment reviews are separate. Scores change only when the criterion inputs are reviewed and a change is recorded. Source checks and formatting edits do not renew an assessment date.
Why is an assessment date older than the research?
A profile can include later context while retaining its earlier score review. A review is due after 30 days; assessments older than 90 days leave the current ranking. The date does not promise a future review.
How do I check access and pricing?
Use the linked official route for the named product. Plans, regions, eligibility and features can change; a simulation, pilot or partner integration does not establish public hardware access.
How can I suggest a correction?
Use a claim’s correction link and include the product, source location and proposed change, or email contact@qubitwire.com. Submitting evidence does not automatically change a score.
What matters in this sectorView scoring weights

Distinguishes simulations, hardware experiments and production use. Quantum advantage is never inferred from a product launch.

30%Capability

Application results with resources, baselines and limitations stated.

25%Delivery

An accessible, maintained product or service with documentation.

30%Use in practice

Specific external trials or repeated use with reported results.

15%Integration

Hardware compatibility, reusable tools and developer support.

A position should be explainable.

Scores express the QubitWire team’s opinions about documented maturity, using sector-specific weights. They are research-informed judgments, not predictions or objective performance measurements.

Browse all 192 research profiles by sector
Read, question, follow the source

What would the next piece of evidence show?

Company guides trace the path from an announcement to a measured component, accepted system or exact product certification.

Company evidence guideIQM: when is an installed system accepted?Follow an installed quantum system from supplier delivery to customer acceptance.Context reviewed

It identifies the traded instrument and its relationship to the underlying shares. Readers should use that instrument when checking issuer filings or a licensed quote provider; a warrant or Helsinki share line needs its own identity and market metadata.

Full company guide, sources and limits →
Company evidence guideXanadu: what does a foundry partnership establish?Connect the new foundry agreement to the measurements that would establish manufacturing readiness.Context reviewed

It establishes the agreement described by the parties. Production readiness needs additional evidence about fabricated devices, yield, repeatability, packaging and accepted system performance. The record deliberately treats those as separate steps.

Full company guide, sources and limits →
Company evidence guidePasqal: what runs on an analog quantum processor?The cited issuer identity and the task a reader can execute using an analog platform.Context reviewed

Yes, as transaction history with its original date and status. Use the later completed-transaction and reporting evidence to distinguish the completed state from the earlier proposal.

Full company guide, sources and limits →
Company evidence guideAlice & Bob: what can researchers measure on the testbed?Use the Helium announcement to ask precise questions about encoded experiments and partner access.Context reviewed

No. The complete encoded operation still has to account for the error processes that remain, including those associated with control, measurement and correction. The value of a biased-noise architecture depends on how those parts work together.

Full company guide, sources and limits →
Company evidence guideDiraq: from fabricated devices to usable qubitsRead the eight-qubit foundry result through the denominators that manufacturing requires.Context reviewed

It can show that a particular process supports functioning quantum devices under stated conditions. The next questions concern reproducibility and integration; a small result need not answer those questions to be technically useful.

Full company guide, sources and limits →
Company evidence guideQuantum Motion: what makes a system installation reproducible?Turn a full-stack deployment claim into a record of what users can reproduce.Context reviewed

It can clarify what was delivered, accepted and made available within the testbed. The supplier and customer may describe different boundaries, so retaining both documents helps readers understand the actual service or research capability.

Full company guide, sources and limits →
Company evidence guideOxford Ionics: how to read its benchmark historyKeep original experiments, acquisition history and later integration results in separate dated records.Context reviewed

No. It changes the organizational context, not the experiment that was performed. The result should retain its original provenance and be linked to the current ownership timeline.

Full company guide, sources and limits →
Company evidence guideQblox: what does timing mean in a control system?Evaluate control electronics against an experiment’s signals and timing obligations.Context reviewed

The channels must support the required amplitude, noise, bandwidth, synchronization and readout relationships. A larger count cannot answer those compatibility questions by itself.

Full company guide, sources and limits →
Company evidence guideQuantum Machines: why do calibration results need software versions?Trace a calibration claim through its controller, software versions, fit and final validation.Context reviewed

It can alter waveform construction, fitting, scheduling, parameter selection or result handling. A version record helps separate those changes from physical-device changes and makes a later comparison more meaningful.

Full company guide, sources and limits →
Company evidence guideBluefors: which parts of a quantum system need cooling?A cryogenic partnership becomes useful when the cooled subsystem and thermal load are explicit.Context reviewed

The temperature requirements belong to particular components and detectors, not to the word photonic as a whole. A system-level description should identify those components and their operating conditions.

Full company guide, sources and limits →
Company evidence guideArqit: what does a quantum-safe product protect?Classify ARQQ through its security products and examine the trust boundary behind the label.Context reviewed

No. These security products are intended to address cryptographic threats, including future quantum threats. The business and technical evidence therefore centre on deployment, assurance and integration rather than processor benchmarks.

Full company guide, sources and limits →
Company evidence guideSEALSQ: how can a product certification be checked?Follow each chip from a certification target to an exact, checkable assurance record.Context reviewed

No. It states planned milestones. Completion requires the relevant authoritative record and the exact product configuration to which it applies.

Full company guide, sources and limits →