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Yes—you can run experiments on real quantum processors through the cloud without owning a QPU. The practical choice depends on the access model you need: IBM Quantum is the simplest route for Qiskit learning and IBM hardware, Amazon Braket is suited to teams already governed by AWS, and Azure Quantum is useful when you need a particular partner provider inside Azure procurement and identity controls.
Cloud quantum jobs are not priced like ordinary virtual machines. IBM may meter QPU minutes or sell prepaid minutes, Braket combines task and shot charges (or reservations), and Azure providers set separate units such as gate-shots, QPU-hours or monthly credits. The steps below show what account, role, workspace, budget and research eligibility each route requires.
What cloud quantum-computing access actually provides
A cloud quantum service places the control software, queueing system, simulator and (where available) a physical quantum processing unit (QPU) behind an online account. You submit a circuit, measurement instructions and execution parameters through a web console, SDK or notebook. The service compiles the circuit for a selected device, waits for the provider’s queue, runs the requested number of repetitions and returns measurement results.
Most research workflows use a simulator first, then send a smaller validated circuit to hardware. Simulators are useful for debugging and statistical checks, but they do not reproduce every hardware effect. A hardware run can be limited by queue time, device availability, calibration windows, shot quotas, minimum charges or provider-specific credits.
You generally do not need a university email address to open a commercial cloud account. Institutional programs are different: they can provide credits or higher limits, but require an eligible institution, a research plan and an authorized applicant.
Service comparison at a glance
| Service | Entry or introductory route | Primary billing unit | Hardware and simulator choice | Account and governance requirements |
|---|---|---|---|---|
| IBM Quantum | Open Plan for learning and exploration | Plan minutes or QPU consumption, depending on plan | IBM QPUs and IBM simulator tooling | IBM account; paid plans and credits have additional commercial or eligibility requirements |
| Amazon Braket | No upfront Braket charge; pay for resources as used | Per task, per shot, or an hourly reservation | Multiple hardware modalities, circuit simulators, notebooks and managed hybrid jobs | AWS account, permissions to call Braket, and separate billing for related AWS resources |
| Azure Quantum | Azure account with an active subscription and Quantum workspace | Provider-defined units, including gate-shots, QPU-hours or monthly subscriptions | Partner QPUs and emulators exposed through the workspace | Workspace role assignment; organization sharing uses Microsoft Entra ID |
The figures in this article are examples from provider documentation available in 2026. Providers can change prices, minimums and availability; check the live service page or obtain a quote before committing a grant or purchase order.
IBM Quantum: plans, queues and institutional credits
Open Plan
IBM describes the Open Plan as the starting point for learning, experimentation and exploration of IBM technology. It is appropriate for learning Qiskit, reproducing small circuits and testing a workflow before seeking larger allocations. The documentation does not state a universal guaranteed hardware quota or a minimum charge for every Open user, so treat access as introductory rather than as a capacity promise.
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Pay-As-You-Go
Pay-As-You-Go charges for QPU consumption rather than requiring a long-term reservation. It fits projects that need occasional hardware runs and prefer to pay for actual use. Your total depends on the device, execution time and the service’s current consumption rules; estimate with the current IBM calculator or account quote rather than assuming simulator usage is free.
Flex Plan
Flex is a prepaid model for teams that can forecast use. IBM’s plan documentation requires a purchase of at least 400 minutes, usable within one year. The minimum is a one-time prepaid commitment for that plan period, not a statement that every job costs 400 minutes. Unused-minute treatment, device access and queue behavior should be confirmed in the order terms.
Premium and On-Prem
Premium is an enterprise subscription intended for larger or more structured workloads. The documentation does not publish a single public monthly figure that applies to every customer. On-Prem provides a dedicated system deployed for the customer, which changes the operational model: procurement, facility, security, maintenance and specialist support become part of the project rather than being hidden behind a public queue.
How to start an IBM hardware experiment
- Create or sign in to an IBM Quantum account and select the Open Plan if you are learning or prototyping.
- Install the supported IBM SDK and authenticate it with the account credentials or token method shown in the current documentation.
- Run the circuit on a simulator first. Check qubit count, transpilation output, measurement mapping and shot count.
- Select an available IBM backend, review its queue and calibration information, then submit the hardware job.
- Record the backend name, circuit version, transpiler settings, shot count and execution date so that results are reproducible.
IBM Quantum Credits
IBM Quantum Credits are aimed at “researchers pursuing novel, utility-scale quantum research that requires quantum compute access beyond the IBM Quantum Open Plan.” Eligibility is not automatic. IBM asks for a clear utility-scale research plan, meaningful progress expectations and affiliation with an eligible research institution. A faculty member or research lead must submit the application. Beginners are directed to the Open Plan first, so a credits application should explain why the proposed work cannot be completed with introductory access.
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- Describe expected milestones and how progress will be measured.
- Document the eligible institution and identify the faculty member or research lead responsible for the application.
- Estimate circuit volume, shot requirements and the period over which credits will be used.
Amazon Braket: AWS-managed access to several providers
AWS describes Braket as providing “on-demand and dedicated access to quantum computers, quantum circuit simulators, fully managed execution of hybrid quantum-classical algorithms, and Jupyter notebook development environments.” That breadth is the main reason to choose it: one AWS workflow can combine simulators, different QPU modalities, notebooks and hybrid classical-quantum jobs.
How Braket billing works
There are no upfront Braket charges. AWS bills resources as they are used, while related services such as S3 are billed separately. On-demand QPU pricing uses either a per-task plus per-shot model or a single hourly reservation fee, depending on the provider and access mode. A task contains the circuit, measurement instructions and requested shot count.
AWS gives a representative example of a $0.30 task charge plus 10,000 shots at $0.000425 per shot. The arithmetic for that example is $4.25 in shot charges plus the $0.30 task charge, or $4.55 before any other AWS services or taxes. It is an illustrative pricing-page example, not a universal rate; recheck the current provider price and region before budgeting.
Braket setup procedure
- Create or use an AWS account and choose the region in which you will run notebooks, simulators and storage.
- Give the user or role permission to initiate Braket actions. AWS identifies the
AmazonBraketFullAccessIAM policy as including those permissions; a security administrator can replace it with a narrower custom policy. - Open the Braket console or a managed Jupyter notebook, select a simulator or QPU provider, and define the circuit and shot count.
- Submit a task and monitor its state. Save the task identifier, device ARN, circuit source, shot count and result location.
- Review S3, notebook, compute and logging charges separately from the Braket task line item.
Governance features that matter to research teams
Braket integrates with AWS Identity and Access Management, CloudWatch, CloudTrail and EventBridge. IAM can separate submitter, reader and administrator duties; CloudTrail provides an audit trail; CloudWatch supports operational monitoring; and EventBridge can trigger downstream workflows. These controls are valuable when several researchers share an account or when a grant requires an execution record.
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When a reservation is justified
An on-demand task is usually easier for exploratory work. A dedicated or hourly reservation can make sense when a team needs a predictable execution window, repeated queue access or sustained utilization. Compare the reservation fee with the expected task-and-shot total over the same period; a reservation is not automatically cheaper merely because it removes queue uncertainty.
Best Value
Azure Quantum: partner providers inside an Azure workspace
Account and role prerequisites
Azure Quantum requires an Azure account with an active subscription and a Quantum workspace. The workspace is associated with Azure resources such as storage. To submit jobs, a user needs the Quantum Workspace Data Contributor role. The Data Reader role is for reading workspace data and does not grant submission rights.
Workspace sharing also requires every user to have an account in the organization’s Microsoft Entra ID. An administrator must therefore arrange both the Azure subscription and the directory identities before a research group can collaborate.
Azure provider pricing examples
| Provider or offer | Published example | Important qualification |
|---|---|---|
| IonQ execution with error mitigation | $97.50 minimum execution | Minimum shown in Azure pricing documentation; provider terms and current prices can change |
| IonQ execution without error mitigation | $12.4166 minimum execution | Separate minimum from the mitigated option |
| IonQ Aria-Forte subscription | $25,000 per month | Subscription pricing; Azure infrastructure costs are additional where applicable |
| Pasqal QPU | EUR3,000 per QPU-hour | Hourly provider unit |
| Pasqal emulator | EUR15 per emulator-hour | Emulator-hour pricing, distinct from QPU time |
| Quantinuum Standard | $125,000 per month | Azure infrastructure costs are additional |
Microsoft states that providers control their own Azure Quantum pricing and that published prices can lag what appears in the workspace. Use these numbers as planning signals, not as a purchase quote.
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Azure submission workflow
- Create or select an Azure subscription, then create a Quantum workspace and its associated storage resources.
- Assign each researcher the Quantum Workspace Data Contributor role if they must submit jobs; assign Data Reader only when read-only access is intended.
- Confirm that each collaborator has an account in the organization’s Microsoft Entra ID.
- Choose an available partner provider, review its current price and quota, and select a simulator or QPU target.
- Submit a small test job, verify the result and cost record, then scale the shot count or circuit batch.
Provider quotas
Azure quotas are provider-specific. Microsoft says quotas help prevent accidental cost overages and protect provider-system integrity. Check remaining quota in the Azure portal before launching a batch. A quota limit can stop a job even when the Azure subscription itself is active, so treat provider quota as a separate capacity constraint.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Why the prices cannot be compared directly
| Question | IBM Quantum | Amazon Braket | Azure Quantum |
|---|---|---|---|
| What consumes budget? | Plan minutes or measured QPU consumption | Tasks, shots or reservation time; other AWS resources separate | Provider-specific units such as gate-shots, QPU-hours or subscription credits |
| Is there one universal minimum? | Not stated for all plans; Flex requires 400 prepaid minutes | Depends on task/shot pricing or reservation selected | No; each provider and offer sets its own minimum |
| Can I use simulators? | Yes, through IBM’s simulator tooling | Yes, including managed simulators and notebooks | Yes, through partner emulators where offered |
| Can I reserve dedicated capacity? | On-Prem provides a dedicated system; other plan terms vary | Yes, through dedicated or hourly reservation options | Depends on the partner provider and contract |
| Who controls identity and audit? | IBM account and plan controls | AWS IAM, CloudWatch, CloudTrail and EventBridge | Azure subscription, workspace roles and Microsoft Entra ID |
A “shot” is one repeated execution of a circuit, while a task is the submitted job that contains the circuit and execution settings. A circuit with more shots can cost more even when the circuit itself is unchanged. Conversely, a provider-hour or subscription may dominate cost even when only a small number of shots are run. Always convert your experiment into the provider’s billable unit before comparing quotes.
Quick Recap
Choosing the right route
Choose IBM Open Plan when
- You are learning Qiskit or prototyping a circuit.
- You want the lowest procurement friction for IBM’s ecosystem.
- You can tolerate introductory access and do not yet know your hardware volume.
Choose IBM Pay-As-You-Go or Flex when
- You need IBM hardware beyond introductory use.
- Pay-As-You-Go suits irregular demand, while Flex suits a forecastable workload that can consume at least 400 prepaid minutes within one year.
- Your institution may qualify for Quantum Credits and the project is genuinely utility-scale.
Choose Amazon Braket when
- Your team already uses AWS accounts, IAM and S3.
- You need to test more than one hardware modality or combine QPUs with managed notebooks, simulators and hybrid jobs.
- You can track Braket charges together with ordinary AWS service charges.
Choose Azure Quantum when
- A specific partner provider is more important than a single-vendor hardware ecosystem.
- Your organization requires Azure identity, workspace roles, quotas and enterprise procurement.
- You can obtain a current provider quote because minimum executions and subscription prices vary substantially.
Build a defensible research budget
- Define the experiment. Count circuit variants, shots per variant, expected retries and calibration or mitigation runs.
- Separate simulation from hardware. Budget notebook, storage and simulator resources independently from QPU execution.
- Map to the provider unit. Convert the workload into IBM minutes, Braket tasks/shots or the Azure provider’s gate-shot, hour or credit unit.
- Add operational overhead. Include storage, notebook or compute charges, data egress where applicable, taxes and the labor of monitoring failed jobs.
- Set a spending guardrail. Use AWS IAM and budgets, Azure provider quotas, or IBM plan controls to prevent an accidental high-shot submission.
- Keep an execution ledger. Record date, account, backend, circuit hash, shot count, queue or reservation mode, price basis and returned result.
Common failure modes and fixes
- Job rejected for permissions: check the AWS IAM policy, Azure Quantum Workspace Data Contributor role or IBM account entitlement before changing the circuit.
- Unexpected bill: inspect task count and shot count, then review separate storage, notebook and compute line items. A simulator or hybrid workflow can create non-QPU cloud charges.
- Quota exhausted: wait for the provider quota window to reset, request an increase where available, or reduce shots and batch size.
- Long queue: lower the test workload, choose another available backend, or use a reservation when predictable capacity is worth its cost.
- Results cannot be reproduced: retain the exact circuit, transpilation settings, backend, calibration date, shot count and software environment.
- Institutional-credit application declined: demonstrate utility-scale novelty, measurable milestones and the required faculty or research-lead sponsorship; use introductory access while preparing a stronger proposal.
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