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A framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
Cirq is a Python package for writing, manipulating, and running quantum circuits on quantum computers and simulators. Cirq provides useful abstractions for dealing with today’s noisy intermediate-scale quantum (NISQ) computers, where the details of quantum hardware are vital to achieving state-of-the-art results. For more information about Cirq, please visit the Cirq documentation site.
This Python module is cirq-core
, which contains all the code you need to
write quantum algorithms for NISQ devices and run them on the built-in Cirq
simulators.
To run algorithms on a given quantum computing platform, you will also need to install an appropriate Cirq hardware interface module. Please visit the hardware section of the Cirq documentation site for information about the hardware interface modules currently available.
There are two installation options for the cirq-core
module:
To install the stable version of cirq-core
, use
pip install cirq-core
To install the latest pre-release version of cirq-core
, use
pip install --upgrade cirq-core~=1.0.dev
(The ~=
has a special meaning to pip
of selecting the latest version
compatible with the 1.*
and dev
in the name. Despite appearances,
this will not install an old version 1.0 release!)
If you would like to install Cirq with all the optional modules, not just
cirq-core
, then instead of the above commands, use pip install cirq
for the
stable release or pip install --upgrade cirq~=1.0.dev
for the latest pre-release
version.
To get started with using Cirq, please refer to the Cirq documentation site.
For more information about getting help, reporting bugs, and other matters related to Cirq and the Cirq-Core integration module, please visit the Cirq repository on GitHub.
Cirq is not an official Google product. Copyright 2019 The Cirq Developers.
FAQs
A framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
We found that cirq-core demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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Socket now supports pylock.toml, enabling secure, reproducible Python builds with advanced scanning and full alignment with PEP 751's new standard.
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