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-0.26.232154b1.tar.gz (117.8 kB view details)

Uploaded Source

Built Distribution

qdk-0.26.232154b1-py3-none-any.whl (35.7 kB view details)

Uploaded Python 3

File details

Details for the file qdk-0.26.232154b1.tar.gz.

File metadata

  • Download URL: qdk-0.26.232154b1.tar.gz
  • Upload date:
  • Size: 117.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for qdk-0.26.232154b1.tar.gz
Algorithm Hash digest
SHA256 3335c9314ee040a14555c568682ac924cda28b2787bf9f82404f062edf7e7c01
MD5 a0f5dcd7df8245b86ed5ec8506adf3b4
BLAKE2b-256 cc6a4465444d6c85c55fb5fc2272eb12d16b5cdd972e0d33ff6947045c3aab4a

See more details on using hashes here.

File details

Details for the file qdk-0.26.232154b1-py3-none-any.whl.

File metadata

  • Download URL: qdk-0.26.232154b1-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/3.9.13

File hashes

Hashes for qdk-0.26.232154b1-py3-none-any.whl
Algorithm Hash digest
SHA256 b1852a8d61be34a241d085c87ac56da97ba1f1c5ccb4c41235291f6db0dc1eb6
MD5 c3060789f16be75300d7fe269b5a0630
BLAKE2b-256 4a2f069fd3321182e1ee5b26cca3525831ee155dc7c0e32e337abae343093ca1

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