Skip to main content

Python client for Azure Quantum

Project description

Azure Quantum logo

Azure Quantum

PyPI version

Azure Quantum is Microsoft's cloud service for running Quantum Computing programs. The azure-quantum package for Python provides functionality for interacting with Azure Quantum workspaces, including creating jobs, listing jobs, and retrieving job results. For more information, view the Azure Quantum Documentation.

This package supports submitting quantum programs or circuits written with Python. To submit quantum programs written with Q#, Microsoft's Domain-specific language for Quantum Programming, view Submit Q# Jobs to Azure Quantum.

Installation

The package is released on PyPI and can be installed via pip:

  • For default installation - pip install azure-quantum
  • Submit quantum circuits written in Q# - pip install azure-quantum[qsharp]
  • Submit quantum circuits written in Qiskit - pip install azure-quantum[qiskit]
  • Submit quantum circuits written in Cirq - pip install azure-quantum[cirq]

Getting started and Quickstart guides

To work in Azure Quantum, you need an Azure subscription. If you don't have an Azure subscription, create a free account. Follow the Create an Azure Quantum workspace how-to guide to set up your Workspace and enable your preferred providers.

To get started, visit the following Quickstart guides:

General usage

To connect to your Azure Quantum Workspace, go to the Azure Portal, navigate to your Workspace and copy-paste the resource ID into the code snippet below.

from azure.quantum import Workspace

# Enter your Workspace resource ID below
workspace = Workspace(
    resource_id=""
)

List all targets

To list all targets that are available to your workspace, run

workspace.get_targets()

Submit a quantum program or circuit

First, define a quantum program or circuit, and create a job by submitting it to one of the available targets:

# Enter target name below
target = workspace.get_targets("mytarget")

# Submit quantum program or circuit
job = target.submit(my_quantum_program)

# Wait for job to complete and fetch results
result = job.get_results()

Examples

You can find example Python scripts that use the Azure Quantum Python API in the samples directory.

Contributing

For details on contributing to this package, see the contributing guide.

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repositories using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Support

If you run into any problems or bugs using this package, please head over to the issues page and open a new issue, if it does not already exist.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

azure_quantum-3.10.0.tar.gz (132.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

azure_quantum-3.10.0-py3-none-any.whl (166.8 kB view details)

Uploaded Python 3

File details

Details for the file azure_quantum-3.10.0.tar.gz.

File metadata

  • Download URL: azure_quantum-3.10.0.tar.gz
  • Upload date:
  • Size: 132.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: RestSharp/106.13.0.0

File hashes

Hashes for azure_quantum-3.10.0.tar.gz
Algorithm Hash digest
SHA256 870322164bdfa67dc79e434d8c5c5153351c601ff31d607d1f00116165735f14
MD5 c9c898399bf8da72f87aa330d08df9c4
BLAKE2b-256 411dd791eedf1c0cb934d0db05577bd0f486226bfa273870659afbad63bc9dab

See more details on using hashes here.

File details

Details for the file azure_quantum-3.10.0-py3-none-any.whl.

File metadata

File hashes

Hashes for azure_quantum-3.10.0-py3-none-any.whl
Algorithm Hash digest
SHA256 01ac7722f2f42a479cc1cc2bc54270c88133ea2bc0da3095e9162b40e3dbd096
MD5 572833f2cd2741d502eaf0a3f3795956
BLAKE2b-256 2464b81b323e4bdb2a91893258ee031b5d2c0472d67e1f8d5368c21102517255

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page