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QRANK THE QUANTUM LANDSCAPE

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4 material evidence updates in the past 7 days →Jump to rankings
326 organizations77 editorially scored profiles8 sector frameworksScore edition 23 Sept 2026
SECTOR INTELLIGENCE

Computing hardware

Who is turning quantum hardware into usable systems?

15 assessed in computing hardware · Edition 23 Sept 2026 · Method 1.0

A field guide to this sectorKnow what to compare

Match the machine to the experiment

Gate-based circuits, analog simulation and annealing offer different controls and solve different classes of problems. A larger physical-qubit count alone does not establish better useful performance.

Gate model
Programs a sequence of quantum gates.
Analog simulation
Programs an interacting physical system to model its dynamics.
Logical qubit
Quantum information encoded across physical qubits to control errors.
AWS: quantum computing models

Three questions worth asking

  1. Can you access the named system today, and under which plan?
  2. Does the result report errors, circuit depth and a credible classical baseline?
  3. Are the qubits physical or logical, and what operations were actually demonstrated?
QubitWire’s editorial checklist. See company evidence for specific claims.
What matters in this sectorView scoring weights

A maturity index across hardware approaches. Scores do not compare raw qubits or prove one machine is faster.

40%Capability

Demonstrated system behavior, workload results and stated error conditions.

25%Delivery

Access to an actual system, operational documentation and support.

20%Use in practice

Named external experiments or deployments with reported outcomes.

15%Integration

Usable tooling, developer documentation and maintained integrations.

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Rankings · 15
15 assessed organizations. Showing 1–12.

Equal scores share a position within their sector.

15 assessed / 69 listed

Directory inclusion is separate from assessment.

Rank1(tie)
Superconducting quantum annealing and hybrid optimizationCanada / United States

Programs an energy landscape and samples candidate solutions with superconducting flux qubits. Leap also offers solvers that combine classical processing with quantum annealing.

Cloud access5 sources
Capability 3 / 4
Delivery 4 / 4
Use in practice 3 / 4
Integration 4 / 4

Limitation: An annealer does not execute arbitrary gate-model circuits. Reported hybrid business outcomes do not by themselves establish quantum speedup; the separate gate-model program is not validated by annealing results.

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.

5 assessment sourcesReviewed
Why this position?

This score reflects documented maturity using the computing hardware weighting.

Capability 40% weight
3 / 4 · 30 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 20% weight
3 / 4 · 15 points
Integration 15% weight
4 / 4 · 15 points

Strength: An operating cloud service, detailed hardware controls and external experimental use give researchers concrete ways to work with annealing.

Limitation: An annealer does not execute arbitrary gate-model circuits. Reported hybrid business outcomes do not by themselves establish quantum speedup; the separate gate-model program is not validated by annealing results.

External corroboration · Assessment reviewed
Score edition 2026-09-23 · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank1(tie)
Superconducting gate-model processors and quantum cloudUnited States

Combines programmable quantum processors with Qiskit tools, cloud job execution and device calibration records, giving developers a route from circuit design to experiments on hardware.

Open and paid cloud plans4 sources
Capability 3 / 4
Delivery 4 / 4
Use in practice 3 / 4
Integration 4 / 4

Limitation: Access, calibration and dynamic-circuit support depend on the selected plan and backend. The reviewed physics experiment does not establish commercial advantage across applications.

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.

3 assessment sourcesReviewed What changed? →
Why this position?

This score reflects documented maturity using the computing hardware weighting.

Capability 40% weight
3 / 4 · 30 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 20% weight
3 / 4 · 15 points
Integration 15% weight
4 / 4 · 15 points

Strength: Documented access paths, hardware calibration reporting and substantial experimental circuit execution.

Limitation: Access, calibration and dynamic-circuit support depend on the selected plan and backend. The reviewed physics experiment does not establish commercial advantage across applications.

External corroboration · Assessment reviewed
Score edition 2026-09-23 · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank1(tie)
Superconducting gate-model systems and cloud accessFinland / Germany

Uses controlled superconducting circuits to execute gates, delivered through cloud services and installed systems.

Cloud and installed systems5 sources
Capability 3 / 4
Delivery 4 / 4
Use in practice 3 / 4
Integration 4 / 4

Limitation: Results on Q-Exa and VTT Q50 apply to those systems and test conditions. Calibration variation affects circuit performance; future larger-machine announcements are not treated as completed delivery.

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.

5 assessment sourcesReviewed
Why this position?

This score reflects documented maturity using the computing hardware weighting.

Capability 40% weight
3 / 4 · 30 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 20% weight
3 / 4 · 15 points
Integration 15% weight
4 / 4 · 15 points

Strength: External operational evidence and detailed, maintained access and calibration documentation.

Limitation: Results on Q-Exa and VTT Q50 apply to those systems and test conditions. Calibration variation affects circuit performance; future larger-machine announcements are not treated as completed delivery.

External corroboration · Assessment reviewed
Score edition 2026-09-23 · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank1(tie)
Trapped-ion QCCD processors and hybrid quantum softwareUnited States / United Kingdom

Provides programmable trapped-ion computers and tools for circuits with mid-circuit measurement, reset and classical feedback, alongside emulators for development.

Subscription hardware and emulators6 sources
Capability 3 / 4
Delivery 4 / 4
Use in practice 3 / 4
Integration 4 / 4

Limitation: Reported gate fidelity and random-circuit performance are not interchangeable with useful application advantage or fault-tolerant scale.

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 sourcesReviewed
Why this position?

This score reflects documented maturity using the computing hardware weighting.

Capability 40% weight
3 / 4 · 30 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 20% weight
3 / 4 · 15 points
Integration 15% weight
4 / 4 · 15 points

Strength: Measured component errors, programmable connectivity and commercial access backed by technical documentation.

Limitation: Reported gate fidelity and random-circuit performance are not interchangeable with useful application advantage or fault-tolerant scale.

Primarily organization-sourced · Assessment reviewed
Score edition 2026-09-23 · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank1(tie)
Neutral-atom analog systems and gate-model research processorsUnited States

Traps individual atoms with light and controls their interactions. Aquila programs a physical quantum evolution; Gemini uses gates and atom movement for digital and logical-qubit experiments.

Cloud access; digital pilots5 sources
Capability 3 / 4
Delivery 4 / 4
Use in practice 3 / 4
Integration 4 / 4

Limitation: Aquila cloud access does not provide Gemini’s gate-model or logical-qubit capabilities. Logical magic-state distillation is a component of fault tolerance, not a completed general-purpose fault-tolerant computer.

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.

5 assessment sourcesReviewed
Why this position?

This score reflects documented maturity using the computing hardware weighting.

Capability 40% weight
3 / 4 · 30 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 20% weight
3 / 4 · 15 points
Integration 15% weight
4 / 4 · 15 points

Strength: The company combines a documented public analog workflow with peer-reviewed progress in logical operations on a separate digital processor.

Limitation: Aquila cloud access does not provide Gemini’s gate-model or logical-qubit capabilities. Logical magic-state distillation is a component of fault tolerance, not a completed general-purpose fault-tolerant computer.

Primarily organization-sourced · Assessment reviewed
Score edition 2026-09-23 · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank1(tie)
Superconducting gate-model processors with a modular chiplet architectureUnited States

Uses microwave-controlled superconducting qubits to execute quantum circuits. Its Cepheus architecture connects smaller chiplets to form a larger processor.

Cloud access4 sources
Capability 3 / 4
Delivery 4 / 4
Use in practice 3 / 4
Integration 4 / 4

Limitation: Physical qubit count and launch gate fidelity do not establish useful circuit depth or fault tolerance. An August 2026 external preprint finds substantial route-dependent performance; its results are specific to the tested conditions.

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 sourcesReviewed
Why this position?

This score reflects documented maturity using the computing hardware weighting.

Capability 40% weight
3 / 4 · 30 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 20% weight
3 / 4 · 15 points
Integration 15% weight
4 / 4 · 15 points

Strength: Public access and device-characterization workflows support reproducible experiments on a modular superconducting processor.

Limitation: Physical qubit count and launch gate fidelity do not establish useful circuit depth or fault tolerance. An August 2026 external preprint finds substantial route-dependent performance; its results are specific to the tested conditions.

External corroboration · Assessment reviewed
Score edition 2026-09-23 · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank7
Trapped-ion processors and cloud quantum computingUnited States

Makes programmable trapped-ion hardware available through its cloud and partner platforms, supporting circuit experiments and hybrid quantum-classical research workflows.

Direct cloud and Amazon Braket5 sources
Capability 3 / 4
Delivery 4 / 4
Use in practice 3 / 4
Integration 3 / 4

Limitation: The application study combines simulations and hardware. Reported gains depend on a chosen classical baseline and reusing a quantum-generated ordering across many solves; they do not establish a universal speed advantage.

Full company research →
81.3/ 100
Primarily organization-sourced

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

4 assessment sourcesReviewed What changed? →
Why this position?

This score reflects documented maturity using the computing hardware weighting.

Capability 40% weight
3 / 4 · 30 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 20% weight
3 / 4 · 15 points
Integration 15% weight
3 / 4 · 11.25 points

Strength: Concrete cloud access paths and hardware use in documented hybrid workflows.

Limitation: The application study combines simulations and hardware. Reported gains depend on a chosen classical baseline and reusing a quantum-generated ordering across many solves; they do not establish a universal speed advantage.

Primarily organization-sourced · Assessment reviewed
Score edition 2026-09-23 · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank8
Single-photon processors and cloud accessFrance

Supplies photonic computing systems, cloud access and the Perceval development framework.

Cloud and institutional access4 sources
Capability 3 / 4
Delivery 4 / 4
Use in practice 2 / 4
Integration 4 / 4

Limitation: Ascella benchmarks do not establish identical performance on Lucy or Belenos. Postselection, photon losses and sampling cost limit interpretation; these sources demonstrate neither fault tolerance nor commercial advantage.

Full company research →
80.0/ 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 sourcesReviewed
Why this position?

This score reflects documented maturity using the computing hardware weighting.

Capability 40% weight
3 / 4 · 30 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 20% weight
2 / 4 · 10 points
Integration 15% weight
4 / 4 · 15 points

Strength: Published hardware experiments connect to maintained software and named external infrastructure.

Limitation: Ascella benchmarks do not establish identical performance on Lucy or Belenos. Postselection, photon losses and sampling cost limit interpretation; these sources demonstrate neither fault tolerance nor commercial advantage.

Primarily organization-sourced · Assessment reviewed
Score edition 2026-09-23 · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank9
Superconducting coaxmon processors and hosted quantum accessUnited Kingdom

Executes circuits on superconducting coaxmon qubits and connects the quantum processor to cloud or high-performance computing workflows.

Cloud and HPC installations5 sources
Capability 3 / 4
Delivery 3 / 4
Use in practice 3 / 4
Integration 3 / 4

Limitation: The error-budget result concerns selected pairs on one device generation. HPC integration and commercial access do not demonstrate computational advantage, and hardware capability should not be inferred from emulator results.

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.

5 assessment sourcesReviewed
Why this position?

This score reflects documented maturity using the computing hardware weighting.

Capability 40% weight
3 / 4 · 30 points
Delivery 25% weight
3 / 4 · 18.75 points
Use in practice 20% weight
3 / 4 · 15 points
Integration 15% weight
3 / 4 · 11.25 points

Strength: A measured error-improvement study paired with operational integration evidence.

Limitation: The error-budget result concerns selected pairs on one device generation. HPC integration and commercial access do not demonstrate computational advantage, and hardware capability should not be inferred from emulator results.

Primarily organization-sourced · Assessment reviewed
Score edition 2026-09-23 · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank10
Neutral-atom analog quantum processors and cloud programming toolsFrance

Arranges laser-trapped atoms and controls their collective interactions to study quantum dynamics or encode optimization problems. Pulser defines the pulse sequence submitted to a compatible device.

Cloud and installed systems5 sources
Capability 2 / 4
Delivery 4 / 4
Use in practice 3 / 4
Integration 3 / 4

Limitation: Current cloud evidence supports constrained analog execution. Simulation libraries and digital-analog roadmaps do not establish an unrestricted fault-tolerant gate-model service, and the cited external use does not demonstrate computational advantage.

Full company research →
71.3/ 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.

5 assessment sourcesReviewed
Why this position?

This score reflects documented maturity using the computing hardware weighting.

Capability 40% weight
2 / 4 · 20 points
Delivery 25% weight
4 / 4 · 25 points
Use in practice 20% weight
3 / 4 · 15 points
Integration 15% weight
3 / 4 · 11.25 points

Strength: A documented route from pulse design to real hardware, with a national research center reporting use of an installed system.

Limitation: Current cloud evidence supports constrained analog execution. Simulation libraries and digital-analog roadmaps do not establish an unrestricted fault-tolerant gate-model service, and the cited external use does not demonstrate computational advantage.

External corroboration · Assessment reviewed
Score edition 2026-09-23 · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank11
Neutral-atom gate-model computing and logical-qubit experimentsUnited States / United Kingdom

Uses laser-controlled cesium atoms for digital circuits, with Superstaq compiling programs to the hardware’s operations.

Cloud and national testbed5 sources
Capability 3 / 4
Delivery 3 / 4
Use in practice 2 / 4
Integration 3 / 4

Limitation: Postselected error detection does not establish general fault tolerance or commercial advantage. Testbed installation is distinct from repeated external application outcomes.

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.

5 assessment sourcesReviewed
Why this position?

This score reflects documented maturity using the computing hardware weighting.

Capability 40% weight
3 / 4 · 30 points
Delivery 25% weight
3 / 4 · 18.75 points
Use in practice 20% weight
2 / 4 · 10 points
Integration 15% weight
3 / 4 · 11.25 points

Strength: A concrete hardware application with disclosed encoding limits and a documented software access path.

Limitation: Postselected error detection does not establish general fault tolerance or commercial advantage. Testbed installation is distinct from repeated external application outcomes.

Primarily organization-sourced · Assessment reviewed
Score edition 2026-09-23 · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →
Rank12
Superconducting processors and quantum error correction researchUnited States

Develops quantum hardware and error-correction methods, while selected research partners use Willow for programmable scientific experiments.

Selected research partners4 sources
Capability 3 / 4
Delivery 2 / 4
Use in practice 3 / 4
Integration 3 / 4

Limitation: Willow is not generally available to the public, and a logical-memory milestone is not a universal fault-tolerant computer.

Full company research →
68.8/ 100
Primarily organization-sourced

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

4 assessment sourcesReviewed
Why this position?

This score reflects documented maturity using the computing hardware weighting.

Capability 40% weight
3 / 4 · 30 points
Delivery 25% weight
2 / 4 · 12.5 points
Use in practice 20% weight
3 / 4 · 15 points
Integration 15% weight
3 / 4 · 11.25 points

Strength: Peer-reviewed error-correction evidence and detailed programmable hardware experiments.

Limitation: Willow is not generally available to the public, and a logical-memory milestone is not a universal fault-tolerant computer.

Primarily organization-sourced · Assessment reviewed
Score edition 2026-09-23 · Method 1.0. Editorial opinion within this sector, not a probability or performance benchmark.

Read the assessment evidence →Full company research →

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.