Metadata-Version: 2.1
Name: dwave-neal
Version: 0.6.0
Summary: General Ising graph simulated annealing solver
Home-page: https://github.com/dwavesystems/dwave-neal
Author: D-Wave Systems Inc.
Author-email: wbernoudy@dwavesys.com
License: Apache 2.0
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.7
License-File: LICENSE

> :warning: *dwave-neal* is deprecated in favor of `dwave-samplers <https://github.com/dwavesystems/dwave-samplers>`_.

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dwave-neal
==========

.. index-start-marker

An implementation of a simulated annealing sampler.

A simulated annealing sampler can be used for approximate Boltzmann sampling or
heuristic optimization. This implementation approaches the equilibrium
distribution by performing updates at a sequence of increasing beta values,
``beta_schedule``, terminating at the target beta. Each spin is updated once
in a fixed order per point in the beta_schedule according to a Metropolis-
Hastings update. When beta is large the target distribution concentrates, at
equilibrium, over ground states of the model. Samples are guaranteed to match
the equilibrium for long 'smooth' beta schedules.

For more information, see Kirkpatrick, S.; Gelatt Jr, C. D.; Vecchi, M. P.
(1983). "Optimization by Simulated Annealing". Science. 220 (4598): 671–680

Example Usage
-------------

.. code-block:: python

    import neal

    sampler = neal.SimulatedAnnealingSampler()

    h = {0: -1, 1: -1}
    J = {(0, 1): -1}
    sampleset = sampler.sample_ising(h, J)

.. index-end-marker

Installation
------------

.. installation-start-marker

To install:

.. code-block:: bash

    pip install dwave-neal

To build from source:

.. code-block:: bash

    pip install -r requirements.txt
    python setup.py build_ext --inplace
    python setup.py install

.. installation-end-marker

License
-------

Released under the Apache License 2.0. See LICENSE file.

Contributing
============

Ocean's `contributing guide <https://docs.ocean.dwavesys.com/en/stable/contributing.html>`_
has guidelines for contributing to Ocean packages.
