# Cirq

**Repository Path**: null_131_7267/Cirq

## Basic Information

- **Project Name**: Cirq
- **Description**: A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
- **Primary Language**: Python
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-07-29
- **Last Updated**: 2021-07-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

.. image:: docs/Cirq_logo_color.svg
  :alt: Cirq
  :width: 500px

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

.. image:: https://travis-ci.com/quantumlib/Cirq.svg?token=7FwHBHqoxBzvgH51kThw&branch=master
  :target: https://travis-ci.com/quantumlib/Cirq
  :alt: Build Status

.. image:: https://badge.fury.io/py/cirq.svg
    :target: https://badge.fury.io/py/cirq

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

Follow these
`instructions <https://cirq.readthedocs.io/en/latest/install.html>`__.

Hello Qubit
-----------

A simple example to get you up and running:

.. code-block:: python

  import cirq

  # Pick a qubit.
  qubit = cirq.GridQubit(0, 0)

  # Create a circuit
  circuit = cirq.Circuit.from_ops(
      cirq.X(qubit)**0.5,  # Square root of NOT.
      cirq.measure(qubit, key='m')  # Measurement.
  )
  print("Circuit:")
  print(circuit)

  # Simulate the circuit several times.
  simulator = cirq.google.XmonSimulator()
  result = simulator.run(circuit, repetitions=20)
  print("Results:")
  print(result)

Example output:

.. code-block:: bash

  Circuit:
  (0, 0): ───X^0.5───M('m')───
  Results:
  m=11000111111011001000


Documentation
-------------

See
`here <https://cirq.readthedocs.io/en/latest/>`__
or jump into the
`tutorial <https://cirq.readthedocs.io/en/latest/tutorial.html>`__.

Contributing
------------

We welcome contributions. Please follow these
`guidelines <https://github.com/quantumlib/cirq/blob/master/CONTRIBUTING.md>`__.

See Also
--------

For those interested in using quantum computers to solve problems in
chemistry and materials science, we encourage exploring
`OpenFermion <https://github.com/quantumlib/openfermion>`__ and
its sister library for compiling quantum simulation algorithms in Cirq,
`OpenFermion-Cirq <https://github.com/quantumlib/openfermion-cirq>`__.

Disclaimer
----------

Copyright 2018 The Cirq Developers. This is not an official Google product.