What is Azure Quantum?
Azure Quantum is Microsoft’s cloud platform for quantum computing. The service gives developers and researchers access to real quantum hardware from various hardware providers through a unified cloud environment, without needing to procure their own quantum computers.
Several hardware partners are currently available through Azure Quantum: IonQ (trapped-ion systems), Quantinuum (trapped-ion systems of the System Model H2 generation), Rigetti (superconducting qubits), and Pasqal (neutral atoms). Each provider offers its own quantum computers, in some cases additional simulators/emulators, and its own pricing model. Additional hardware partners are being onboarded or are in preview.
The earlier “Azure Quantum Optimization” add-on, which offered classical, quantum-inspired solvers (including Microsoft QIO, 1QBit, and Toshiba solvers), has been discontinued; these solvers are no longer available through Azure Quantum. Organizations looking to solve production optimization problems should use classical optimization or machine learning services, or use the open-sourced version of the Microsoft QIO solver outside of Azure Quantum.
The platform supports multiple programming languages and frameworks: Q# as the native quantum programming language with the Quantum Development Kit (QDK), Python integration via Qiskit and Cirq, and Jupyter Notebooks for interactive development. The Resource Estimator allows estimating the hardware requirements of quantum algorithms on future, error-corrected hardware without consuming costly time on real hardware.
Core Features
Access to multiple hardware providers: Unified access to quantum computers from IonQ, Quantinuum, Rigetti, and Pasqal through a shared Azure Quantum workspace.
Q# and QDK: Native quantum programming language with a dedicated development kit for hardware-independent algorithm development.
Python interoperability: Integration with common quantum frameworks such as Qiskit and Cirq, and execution via Jupyter Notebooks.
Resource Estimator: Free estimation of how many physical qubits and how much runtime an algorithm would require on future, error-corrected hardware.
Hybrid workflows: Combination of classical pre- and post-processing (e.g., via Azure Functions or Azure ML) with quantum jobs for compute-intensive subproblems.
Typical Use Cases
Quantum algorithm research: Universities and research departments develop and test quantum algorithms on various real hardware to compare behavior across different qubit technologies.
Molecular simulation: Chemical and pharmaceutical companies experiment with quantum algorithms such as the Variational Quantum Eigensolver (VQE) to calculate the electronic structure of small molecules.
Cryptography research: Security researchers study the impact of quantum algorithms on existing cryptographic methods.
Preparing for error-corrected hardware: Teams use the Resource Estimator to design algorithms so they become practical on future, larger quantum computers.
Benefits
- Access to multiple hardware technologies (trapped-ion, superconducting, neutral atom) through a single platform
- No need to procure or maintain your own quantum hardware
- Free estimation of hardware requirements before consuming costly compute time
- Integration with existing Azure services for hybrid workflows
Frequently Asked Questions about Azure Quantum
What is Azure Quantum?
Azure Quantum is Microsoft’s cloud platform for accessing real quantum computers from various hardware providers (currently including IonQ, Quantinuum, Rigetti, and Pasqal), as well as development tools such as Q# and the Quantum Development Kit.
When should you use Azure Quantum?
Azure Quantum is suited for research, prototyping, and education in quantum computing, as well as for preparing algorithms for future, more capable quantum hardware. For production optimization problems in enterprise use, classical cloud or ML services are generally the more practical choice, since current quantum hardware is still at an early technological stage.
What does Azure Quantum cost?
Pricing is set by the respective hardware providers and varies by provider: there are both consumption-based models (e.g., billed by gate operations and shots, or by QPU compute time) and monthly subscriptions with an included quota. Simulators are free to use with several providers. Current details are available on the official pricing page.
Is the Azure Quantum Optimization service still available?
No. The earlier add-on for quantum-inspired, classical optimization (including Microsoft QIO, 1QBit, and Toshiba solvers) has been discontinued and is no longer available through Azure Quantum.
Which programming languages are supported?
Azure Quantum supports Q# as the native quantum language with the Quantum Development Kit (QDK), as well as Python interoperability via Qiskit and Cirq. Jupyter Notebooks enable interactive development.
How does Azure Quantum integrate with other Azure services?
Azure Quantum can be combined with Azure Storage, Azure Functions, and Azure ML for hybrid classical-quantum workflows. Quantum jobs can be provisioned via Azure CLI, PowerShell, or ARM templates.
Integration with innFactory
As a Microsoft Solutions Partner, innFactory supports you in evaluating and integrating Azure Quantum. We help identify suitable research and prototyping use cases and develop hybrid classical-quantum workflows.
Contact us for a non-binding consultation on Azure Quantum.
Typical Use Cases
Technical Specifications
Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of Azure (official documentation). This page does not represent an offer by Azure.
