Feedstock license: BSD-3-Clause
Home: https://quantumai.google/cirq
Package license: Apache-2.0
Summary: An open source framework for programming quantum computers
Development: https://github.com/quantumlib/Cirq
Documentation: https://quantumai.google/cirq/install
Cirq is a Python library for writing, manipulating, and optimizing quantum circuits and running them against quantum computers and simulators.
Home: https://quantumai.google/cirq
Package license: Apache-2.0
Summary: An open source framework for programming quantum computers
Development: https://github.com/quantumlib/Cirq/tree/master/cirq-core
Documentation: https://quantumai.google/cirq/install
Home: https://quantumai.google/cirq
Package license: Apache-2.0
Summary: An open source framework for programming quantum computers
Development: https://github.com/quantumlib/Cirq/tree/master/cirq-aqt
Documentation: https://quantumai.google/cirq/install
Home: https://quantumai.google/cirq
Package license: Apache-2.0
Summary: An open source framework for programming quantum computers
Development: https://github.com/quantumlib/Cirq/tree/master/cirq-ft
Documentation: https://quantumai.google/cirq/install
Home: https://quantumai.google/cirq
Package license: Apache-2.0
Summary: An open source framework for programming quantum computers
Development: https://github.com/quantumlib/Cirq/tree/master/cirq-google
Documentation: https://quantumai.google/cirq/install
Home: https://quantumai.google/cirq
Package license: Apache-2.0
Summary: An open source framework for programming quantum computers
Development: https://github.com/quantumlib/Cirq/tree/master/cirq-ionq
Documentation: https://quantumai.google/cirq/install
Home: https://quantumai.google/cirq
Package license: Apache-2.0
Summary: An open source framework for programming quantum computers
Development: https://github.com/quantumlib/Cirq/tree/master/cirq-pasqal
Documentation: https://quantumai.google/cirq/install
Home: https://quantumai.google/cirq
Package license: Apache-2.0
Summary: An open source framework for programming quantum computers
Development: https://github.com/quantumlib/Cirq/tree/master/cirq-rigetti
Documentation: https://quantumai.google/cirq/install
Home: https://quantumai.google/cirq
Package license: Apache-2.0
Summary: An open source framework for programming quantum computers
Development: https://github.com/quantumlib/Cirq/tree/master/cirq-web
Documentation: https://quantumai.google/cirq/install
Home: https://quantumai.google/cirq
Package license: Apache-2.0
Summary: An open source framework for programming quantum computers
Development: https://github.com/quantumlib/Cirq
Documentation: https://quantumai.google/cirq/install
All platforms: |
Name | Downloads | Version | Platforms |
---|---|---|---|
Installing cirq
from the conda-forge
channel can be achieved by adding conda-forge
to your channels with:
conda config --add channels conda-forge
conda config --set channel_priority strict
Once the conda-forge
channel has been enabled, cirq, cirq-aqt, cirq-core, cirq-ft, cirq-google, cirq-ionq, cirq-pasqal, cirq-rigetti, cirq-web
can be installed with conda
:
conda install cirq cirq-aqt cirq-core cirq-ft cirq-google cirq-ionq cirq-pasqal cirq-rigetti cirq-web
or with mamba
:
mamba install cirq cirq-aqt cirq-core cirq-ft cirq-google cirq-ionq cirq-pasqal cirq-rigetti cirq-web
It is possible to list all of the versions of cirq
available on your platform with conda
:
conda search cirq --channel conda-forge
or with mamba
:
mamba search cirq --channel conda-forge
Alternatively, mamba repoquery
may provide more information:
# Search all versions available on your platform:
mamba repoquery search cirq --channel conda-forge
# List packages depending on `cirq`:
mamba repoquery whoneeds cirq --channel conda-forge
# List dependencies of `cirq`:
mamba repoquery depends cirq --channel conda-forge
conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.
A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.
To manage the continuous integration and simplify feedstock maintenance
conda-smithy has been developed.
Using the conda-forge.yml
within this repository, it is possible to re-render all of
this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender
.
For more information please check the conda-forge documentation.
feedstock - the conda recipe (raw material), supporting scripts and CI configuration.
conda-smithy - the tool which helps orchestrate the feedstock.
Its primary use is in the construction of the CI .yml
files
and simplify the management of many feedstocks.
conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)
If you would like to improve the cirq recipe or build a new
package version, please fork this repository and submit a PR. Upon submission,
your changes will be run on the appropriate platforms to give the reviewer an
opportunity to confirm that the changes result in a successful build. Once
merged, the recipe will be re-built and uploaded automatically to the
conda-forge
channel, whereupon the built conda packages will be available for
everybody to install and use from the conda-forge
channel.
Note that all branches in the conda-forge/cirq-feedstock are
immediately built and any created packages are uploaded, so PRs should be based
on branches in forks and branches in the main repository should only be used to
build distinct package versions.
In order to produce a uniquely identifiable distribution:
build/number
.build/number
back to 0.