Skip to main content

Python client for Azure Quantum

Project description

Azure Quantum logo

Azure Quantum

Build Status PyPI version

Azure Quantum is Microsoft's cloud service for running Quantum Computing programs and circuits with our quantum partners and technologies. 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:

pip install azure-quantum

To use azure-quantum for submitting quantum circuits expressed with Qiskit, install with optional dependencies:

pip install azure-quantum[qiskit]

To use azure-quantum for submitting quantum circuits expressed with Cirq, install with optional dependencies:

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 and location into the code snippet below.

from azure.quantum import Workspace

# Enter your Workspace details (resource ID and location) below
workspace = Workspace(
    resource_id="",
    location=""
)

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 examples 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

This version

1.2.1

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-1.2.1.tar.gz (108.7 kB view details)

Uploaded Source

Built Distribution

azure_quantum-1.2.1-py3-none-any.whl (141.7 kB view details)

Uploaded Python 3

File details

Details for the file azure-quantum-1.2.1.tar.gz.

File metadata

  • Download URL: azure-quantum-1.2.1.tar.gz
  • Upload date:
  • Size: 108.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: RestSharp/106.13.0.0

File hashes

Hashes for azure-quantum-1.2.1.tar.gz
Algorithm Hash digest
SHA256 7a5e283c5e3721ead33b6a6955cdcd8b778905f5c0e7336ee18748ec49618b08
MD5 e6d28f9f03b436af19bfb9405db2150e
BLAKE2b-256 fdce03264021c145ce5ceb2e81e50bb6b488d3ff0fe1b2de18c25b9fc9b4a9d6

See more details on using hashes here.

File details

Details for the file azure_quantum-1.2.1-py3-none-any.whl.

File metadata

File hashes

Hashes for azure_quantum-1.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c74457543459aff5f999f84eaa3f6b1952d08f57a8b137a6b451f9305ea52f23
MD5 88544823fea1138983ce71f3fa52bdbc
BLAKE2b-256 74fb53ef26e6bac09fee8f81332e36bc88ac0ea0b0e01b43f7236a91978b1d42

See more details on using hashes here.

Supported by

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