Skip to main content

A framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

Project description

Cirq

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

Build Status https://badge.fury.io/py/cirq.svg Documentation Status

Installation

Follow these instructions.

Hello Qubit

A simple example to get you up and running:

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.Simulator()
result = simulator.run(circuit, repetitions=20)
print("Results:")
print(result)

Example output:

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

Documentation

See here or jump into the tutorial.

Contributing

We welcome contributions. Please follow these guidelines.

We use Github issues for tracking requests and bugs. Please post questions to the Quantum Computing Stack Exchange with a ‘cirq’ tag.

See Also

For those interested in using quantum computers to solve problems in chemistry and materials science, we encourage exploring OpenFermion and its sister library for compiling quantum simulation algorithms in Cirq, OpenFermion-Cirq.

Alpha Disclaimer

Cirq is currently in alpha. We are still making breaking changes. We will break your code when we make new releases. We recommend that you target a specific version of Cirq, and periodically bump to the latest release. That way you have control over when a breaking change affects you.

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
cirq-0.4.0-py2-none-any.whl (552.7 kB) Copy SHA256 hash SHA256 Wheel py2
cirq-0.4.0-py3-none-any.whl (550.0 kB) Copy SHA256 hash SHA256 Wheel py3

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page