Skip to main content

Quantum Development Kit

Project description

QDK

QDK includes the Python packages for the Quantum Development Kit (QDK).

azure.quantum

The azure-quantum package for Python provides functionality for interacting with Azure Quantum workspaces, including creating jobs, listing jobs, and retrieving job results.

For details on how to get started with Azure Quantum, please visit https://azure.com/quantum.

You can also try our Quantum Computing Fundamentals learning path to get familiar with the basic concepts of quantum computing, build quantum programs, and identify the kind of problems that can be solved.

Installation and getting started

We recommend installing Anaconda or Miniconda.

To install the azure-quantum package, run

pip install azure-quantum

Development

To install the package in development mode, we recommend creating a new environment using the following command:

# Create new conda environment
conda env create -f azure-quantum/environment.yml

Then, the package can be installed after activating the environment:

# Activate conda environment
conda activate azurequantum

# Install package in development mode
pip install -e azure-quantum

qdk.chemistry

Q# chemistry library's Python application layer, contains tools for creating 2D molecular diagrams and calculating their 3D geometry using RDKit.

Caffeine molecule

Installation and getting started

We recommend installing Anaconda or Miniconda.

First, install RDKit:

conda install -c conda-forge rdkit

To install the qdk package, run

pip install qdk

To get started, try out the example notebook in the examples/chemistry folder.

Development

To install the package in development mode, we recommend creating a new environment using the following command:

# Create new conda environment
conda env create -f qdk/environment.yml

Then, the package can be installed after activating the environment:

# Activate conda environment
conda activate qdk

# Install package in development mode
pip install -e qdk

How to install Jupyter-JSME in development mode

Jupyter-JSME is an optional dependency that will enable a simple Molecule editor. For more information about JSME, see: JSME.

jupyter nbextension install jupyter_jsme
jupyter nbextension enable jupyter_jsme/extension

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

qdk-0.25.228310b1.tar.gz (117.8 kB view details)

Uploaded Source

Built Distribution

qdk-0.25.228310b1-py3-none-any.whl (35.7 kB view details)

Uploaded Python 3

File details

Details for the file qdk-0.25.228310b1.tar.gz.

File metadata

  • Download URL: qdk-0.25.228310b1.tar.gz
  • Upload date:
  • Size: 117.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.9

File hashes

Hashes for qdk-0.25.228310b1.tar.gz
Algorithm Hash digest
SHA256 647d5f217da6b544051da88066a073b24dade23af530444db06b175839b2f979
MD5 601b5ed5aab053d8f59432f59a17777b
BLAKE2b-256 759df56088f5f4d8d644fc8c71c0e21aa99f27b11ab79cc1fc94697c21cafd63

See more details on using hashes here.

File details

Details for the file qdk-0.25.228310b1-py3-none-any.whl.

File metadata

  • Download URL: qdk-0.25.228310b1-py3-none-any.whl
  • Upload date:
  • Size: 35.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.9

File hashes

Hashes for qdk-0.25.228310b1-py3-none-any.whl
Algorithm Hash digest
SHA256 e826bb69fd5d574d1596d703d65e7e1ce634860a5beabd0ca7b50834e2615259
MD5 3bb4c66b94029cf38e441951fbe9ed8b
BLAKE2b-256 ec19537a5493d90a7cec7b57e7ecd78817807cc94df4feda1a0ed67334f0ad71

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