Technology 2026Updated

List of Quantum Computing Cloud Service Providers

A comprehensive directory of quantum computing cloud service providers offering QPU access, hybrid solvers, and development tools via cloud platforms. Ideal for enterprise IT architects and researchers evaluating quantum-as-a-service options for procurement or algorithm development.

Available Data Fields

Provider Name
Qubit Technology
Max Qubits
Cloud Platform
Access Model
Pricing Model
Supported SDKs
Error Rate (2-Qubit Gate)
Use Cases
Headquarters
Founded Year
Hardware Generations

Data Preview

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ProviderTechnologyMax QubitsCloud Platform
IBM QuantumSuperconducting (Transmon)1,121 (Condor)IBM Quantum Platform
Amazon BraketMulti-vendor (Ion Trap, Superconducting, Neutral Atom)Varies by providerAWS
QuantinuumTrapped Ion56 (H2)Quantinuum Cloud / Azure Quantum
D-WaveQuantum Annealing5,000+ (Advantage)Leap Quantum Cloud
IonQTrapped Ion36 AQ (Forte Enterprise)AWS Braket / Azure Quantum

76+ records available for download.

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Quantum Computing Cloud Services: The Enterprise Buyer's Landscape

The quantum computing cloud market has matured from a handful of research-access programs into a full commercial ecosystem. As of 2025, enterprises can access quantum processors from over a dozen hardware vendors through both dedicated platforms and major hyperscaler marketplaces—without owning or operating cryogenic infrastructure.

Technology Approaches and Trade-offs

Cloud-accessible quantum hardware spans four distinct qubit modalities, each with different strengths:

TechnologyKey VendorsStrengthsCurrent Scale
SuperconductingIBM, Google, Rigetti, IQMFast gate speeds, mature fabricationUp to 1,121 qubits (IBM Condor)
Trapped IonIonQ, QuantinuumHigh fidelity, all-to-all connectivityUp to 56 qubits (Quantinuum H2)
Neutral AtomQuEra, PasqalScalable architecture, analog simulation256+ qubits
Quantum AnnealingD-WaveOptimization-native, large qubit counts5,000+ qubits (Advantage)

Access Models: Direct vs. Marketplace

Enterprise buyers face a fundamental procurement decision. Direct platforms like IBM Quantum, D-Wave Leap, and Quantinuum Nexus offer deep integration with the vendor's hardware and toolchain. Hyperscaler marketplaces—AWS Braket, Azure Quantum, and Google Cloud—aggregate multiple hardware backends behind a unified API, enabling cross-platform benchmarking without separate vendor relationships.

Pricing ranges from pay-per-shot models (as low as $0.0009/shot on some Braket devices) to reserved capacity at $300+/QPU-hour, to enterprise subscriptions exceeding $135,000/month for dedicated access. The choice depends on workload frequency: occasional experimentation favours pay-as-you-go, while production quantum workflows benefit from reserved pricing.

Key Milestones Shaping the Market

Error Correction Breakthrough (Dec 2024)
Google's 105-qubit Willow processor demonstrated exponential error suppression with increasing qubits, a prerequisite for fault-tolerant quantum computing.
Quantum Advantage Verified (Oct 2025)
Google's Willow completed a quantum simulation in 2.1 hours that would take the Frontier supercomputer 3.2 years—a verified quantum advantage on a practical benchmark.
Enterprise-Grade Trapped Ions (Nov 2025)
Quantinuum launched Helios, a 98-qubit trapped-ion system with 99.9% two-qubit gate fidelity, available both on-premises and via cloud.

Frequently Asked Questions

Q.What hardware backends are included in this dataset?

The dataset covers all major qubit technologies available via cloud access: superconducting (IBM, Google, Rigetti, IQM), trapped ion (IonQ, Quantinuum), neutral atom (QuEra, Pasqal), photonic (Xanadu), and quantum annealing (D-Wave). Data is sourced from publicly available specifications and vendor documentation.

Q.How current is the qubit count and performance data?

When you request this data, our AI crawls each provider's current documentation and press releases in real time, so specifications reflect the latest publicly available information rather than a static snapshot.

Q.Can I compare pricing across providers?

Yes. The dataset includes pricing model type (per-shot, per-hour, subscription), publicly listed rates, and free-tier availability. Note that enterprise pricing is often negotiated and may not be fully public.

Q.Does this include quantum simulators or only real hardware?

Both. Many cloud platforms bundle classical quantum simulators alongside real QPU access. The dataset distinguishes between simulator-only services and those providing access to physical quantum processors.

Q.Is non-public or classified quantum computing infrastructure included?

No. The dataset only covers commercially available cloud services with publicly documented access. Government-exclusive or classified quantum programs are not included.