:orphan: ############### Getting started ############### Installation ============ Qiskit Optimization depends Qiskit. which has its own `Qiskit Getting Started `__ detailing the installation options and its supported environments/platforms. You should refer to that first. Then the information here can be followed which focuses on the additional installation specific to Qiskit Optimization. Qiskit Optimization has some functions that have been made optional where the dependent code and/or support program(s) are not (or cannot be) installed by default. Those are IBM CPLEX, CVXPY and Matplotlib. See :ref:`optional_installs` for more information. .. tab-set:: .. tab-item:: Start locally The simplest way to get started is to first follow the `getting started 'Start locally' guide for Qiskit `__ In your virtual environment where you installed Qiskit simply add ``optimization`` to the extra list in a similar manner to how the extra ``visualization`` support is installed for Qiskit, i.e: In your virtual environment, where you installed Qiskit, install Qiskit Optimization as follows: .. code:: sh pip install qiskit-optimization .. note:: As Qiskit Optimization depends on Qiskit, you can though simply install it into your environment, as above, and pip will automatically install a compatible version of Qiskit if one is not already installed. .. tab-item:: Install from source Installing Qiskit Optimization from source allows you to access the most recently updated version under development instead of using the version in the Python Package Index (PyPI) repository. This will give you the ability to inspect and extend the latest version of the Qiskit Optimization code more efficiently. Since Qiskit Optimization depends on Qiskit, and its latest changes may require new or changed features of Qiskit, you should first follow Qiskit's `"Install from source"` instructions here `Qiskit Getting Started `__ .. raw:: html

Installing Qiskit Optimization from Source

Using the same development environment that you installed Qiskit in you are ready to install Qiskit Optimization. 1. Clone the Qiskit Optimization repository. .. code:: sh git clone https://github.com/qiskit-community/qiskit-optimization.git 2. Cloning the repository creates a local folder called ``qiskit-optimization``. .. code:: sh cd qiskit-optimization 3. If you want to run tests or linting checks, install the developer requirements. .. code:: sh pip install -r requirements-dev.txt 4. Install ``qiskit-optimization``. .. code:: sh pip install . If you want to install it in editable mode, meaning that code changes to the project don't require a reinstall to be applied, you can do this with: .. code:: sh pip install -e . .. _optional_installs: Optional installs ================= * **IBM CPLEX** may be installed using ``pip install 'qiskit-optimization[cplex]'`` to enable the reading of `LP` files and the usage of the `CplexOptimizer`, wrapper for ``cplex.Cplex``. Currently there is no python 3.9 version of CPLEX. In this case, the CPLEX install command will have no effect. * **CVXPY** may be installed using the command ``pip install 'qiskit-optimization[cvx]'``. CVXPY being installed will enable the usage of the Goemans-Williamson algorithm as an optimizer `GoemansWilliamsonOptimizer`. * **Matplotlib** may be installed using the command ``pip install 'qiskit-optimization[matplotlib]'``. Matplotlib being installed will enable the usage of the `draw` method in the graph optimization application classes. * **Gurobipy** may be installed using the command ``pip install 'qiskit-optimization[gurobi]'``. Gurobipy being installed will enable the usage of the `GurobiOptimizer`. ---- Ready to get going?... ====================== .. raw:: html
.. qiskit-call-to-action-item:: :description: Find out about Qiskit Optimization. :header: Dive into the tutorials :button_link: ./tutorials/index.html :button_text: Qiskit Optimization tutorials .. raw:: html
.. Hiding - Indices and tables :ref:`genindex` :ref:`modindex` :ref:`search`