Metadata-Version: 2.1
Name: alphaclops-core
Version: 1.2.0.dev0
Summary: A framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
Home-page: http://github.com/quantumlib/alphaclops
Author: The alphaclops Developers
Author-email: alphaclops-dev@googlegroups.com
License: Apache 2
Requires-Python: >=3.9.0
License-File: LICENSE
Requires-Dist: duet (~=0.2.8)
Requires-Dist: matplotlib (~=3.0)
Requires-Dist: networkx (>=2.4)
Requires-Dist: numpy (~=1.16)
Requires-Dist: pandas
Requires-Dist: sortedcontainers (~=2.0)
Requires-Dist: scipy
Requires-Dist: sympy
Requires-Dist: typing-extensions (>=4.2)
Requires-Dist: tqdm
Provides-Extra: contrib
Requires-Dist: ply (>=3.6) ; extra == 'contrib'
Requires-Dist: pylatex (~=1.3.0) ; extra == 'contrib'
Requires-Dist: quimb ; extra == 'contrib'
Requires-Dist: opt-einsum ; extra == 'contrib'
Requires-Dist: autoray ; extra == 'contrib'
Requires-Dist: numba (>=0.53.0) ; extra == 'contrib'

.. image:: https://raw.githubusercontent.com/quantumlib/alphaclops/master/docs/images/alphaclops_logo_color.png
  :target: https://github.com/quantumlib/alphaclops
  :alt: alphaclops
  :width: 500px

alphaclops is a Python library for writing, manipulating, and optimizing quantum
circuits and running them against quantum computers and simulators.

This module is **alphaclops-core**, which contains everything you'd need to write quantum algorithms for NISQ devices and run them on the built-in alphaclops simulators.
In order to run algorithms on a given quantum hardware platform, you'll have to install the right alphaclops module as well.

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

To install the stable version of only **alphaclops-core**, use `pip install alphaclops-core`.
To install the pre-release version of only **alphaclops-core**, use `pip install alphaclops-core --pre`.

To get all the optional modules installed as well, you'll have to use `pip install alphaclops` or `pip install alphaclops --pre` for the pre-release version.