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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 rdkit 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


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