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Credits

Access to both classical and quantum computing resources is managed through the qBraid credits system, which operates on a pay-as-you-go basis. Each qBraid credit is worth $0.01 USD, so a quantum job costing $3.80 would subtract 380 credits from your qBraid balance. Credits can be purchased from your account page, or redeemed using an access key. You can check your current credit balance on your account page, in the qBraid Lab JOBS sidebar, or using the qBraid-CLI. Prices for both classical and quantum computing resources are subject to change.

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Quantum Computers (on-demand)

There are three pricing components for on-demand use of a quantum computer, or quantum processing unit (QPU), on qBraid: a per-minute fee, per-task fee, and per-shot fee. A shot is a single execution of a quantum algorithm on a QPU. For example, a shot is a single pass through each stage of a complete quantum circuit on a gate-based QPU from IonQ, Rigetti, or OQC, or the time evolution of a Hamiltonian on a QPU from QuEra. A task is a sequence of repeated shots based on the same circuit design or Hamiltonian. You define how many shots you want included in a task when you submit it.

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Pricing Structure

  • Per-minute pricing: Applies to specific QPUs (e.g., Rigetti Ankaa-3 via Azure) where execution time is billed
  • Per-task pricing: Consistent across most QPUs (typically 30 credits)
  • Per-shot pricing: Varies by QPU type (1-8 credits for current offerings)
For gate-based QPUs, neither per-shot nor per-minute prices are affected by the number or type of gates used. Note that error mitigation on IonQ’s Aria QPU requires a minimum of 2,500 shots per task.
Hardware ProviderQPUPer-minute pricePer-task pricePer-shot price
AQTIBEX Q10 credits30 credits2.35 credit
QuEraAquila0 credits30 credits1 credit
IQMGarnet0 credits30 credits0.145 credits
IQMEmerald0 credits30 credits0.16 credits
IonQAria-10 credits30 credits3 credits
IonQForte-10 credits30 credits8 credits
IonQForte-Enterprise-10 credits30 credits8 credits
Rigetti (Amazon)Ankaa-30 credits30 credits0.09 credits
Rigetti (Azure)Ankaa-37800 credits0 credits0 credits
Rigetti (Azure)Cepheus-112000 credits0 credits0 credits
PasqalFresnel500 credits0 credits0 credits

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Quantum Circuit Simulators

Verify your circuits using a simulator before you run it on a QPU, so you can fine-tune your circuit without incurring charges for QPU usage. Although the results from running the circuit on a simulator may not be identical to the results from running the circuit on a QPU, you can identify coding errors or configuration issues using a simulator.
ProviderNamePer-task pricePer-minute priceAccess
qBraidQIR Simulator0 credits0 creditspublic
AWSDM10 credits7.5 creditspublic
AWSSV10 credits7.5 creditspublic
AWSTN10 credits27.5 creditspublic
RigettiQVM Simulator0 credits0 creditspublic
IonQSimulator0 credits0 creditspublic
QuantinuumH2-1 Syntax checker0 credits0 creditspublic
QuantinuumH2-1 Emulator0 credits0 creditspublic
PasqalEmulator0 credits25 creditspublic
Equal1Bell-1 Simulator0 credits12.5 creditslimited
NECVector Annealer0 credits0 creditslimited
qBraid offers ten on-demand quantum circuit simulators for testing quantum algorithms:
  • qBraid QIR Simulator: employs sparse state vector simulation based on arXiv:2105.01533.
  • AWS State Vector 1 (SV1): serves as a general purpose quantum circuit simulator.
  • AWS Density Matrix 1 (DM1): enables simulating the effect of noise on your circuits.
  • AWS Tensor Network 1 (TN1): specializes in simulation of larger scale quantum systems.
  • Rigetti QVM Simulator (Azure): Quantum Virtual Machine (QVM) open-source simulator.
  • IonQ Simulator: supports “ideal” simulations as well as noise models for harmony (legacy), aria-1, aria-2, forte-1, and forte-enterprise-1.
  • NEC Vector Annealer: executes proprietary algorithm for annealing processing on NEC’s vector supercomputer “SX-Aurora TSUBASA“
  • Quantinuum H2-1 Syntax Checker: Validates quantum programs against the H2-1 compiler.
  • Quantinuum H2-1 Emulator: Emulation tool containing a realistic noise model of the actual System Model H2 hardware.
  • Pasqal Emulator: Neutral atom tensor network emulator. Runs on a cluster of DGX nodes with NVIDIA A100 GPUs.
  • Equal1 Bell-1 Simulator: State-vector simulator supporting Equal1 Bell-1 QPU noise models; GPU acceleration available
All simulators automatically scale resources to ensure high-performance. Billing is based on a fixed per-task cost plus the duration of each simulation, charged per minute in one-millisecond increments, with a minimum billing duration of three seconds per simulation.
The QPU and simulator lists above are subject to change and may be incomplete or include options that are no longer available. For the most complete and up-to-date list of quantum devices, visit your account page.

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CPUs + GPUs

All qBraid Lab compute instances are available to all users. CPU instances are billed using compute hours, while GPU instances are billed using credits.

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CPU Instances

CPU instances are included with your subscription plan and consume compute hours. Usage is tracked against your monthly compute hour allocation. See usage guide for more details on compute hour tracking.
InstanceCPURAMCompute Hours
Small2 vCPU4GBIncluded
Medium4 vCPU8GBIncluded
Large8 vCPU25GBIncluded

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GPU Instances

GPU instances are billed per minute in credits. See GPUs for more details on launching and using GPU instances.
InstanceGPU TypevCPUVRAMCredits/Min
8xB200-180GB-SXM68x NVIDIA B200 180GB SXM611536GB66.53
8xH100-80GB-SXM58x NVIDIA H100 80GB SXM5200640GB39.87
4xH100-80GB-SXM54x NVIDIA H100 80GB SXM5100320GB20.60
2xH100-80GB-SXM52x NVIDIA H100 80GB SXM550160GB10.63
1xH100-80GB-SXM51x NVIDIA H100 80GB SXM52580GB5.48
1xH100-80GB-PCIE1x NVIDIA H100 80GB PCIe2580GB4.15
8xA100-80GB-SXM48x NVIDIA A100 80GB SXM4235640GB23.87
8xA100-80GB-SXM48x NVIDIA A100 80GB SXM4240640GB23.87
8xA100-40GB-SXM48x NVIDIA A100 40GB SXM4120320GB17.20
8xA100-40G8x NVIDIA A100 40G120320GB17.20
1xA100-80GB-SXM41x NVIDIA A100 80GB SXM43080GB2.15
1xA100-40GB-SXM41x NVIDIA A100 40GB SXM42840GB2.15
1xA100-40G1x NVIDIA A100 40G440GB2.15
2xA6000-48GB2x NVIDIA A6000 48GB2596GB2.67
2xA6000-48GB2x NVIDIA A6000 48GB2896GB2.67
1xA101x NVIDIA A10424GB1.25
8xV1008x NVIDIA V10092128GB7.33
Additional GPU configurations may be available. Visit your account page to see the full list of options.