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|
%global _empty_manifest_terminate_build 0
Name: python-qiskit
Version: 0.42.1
Release: 1
Summary: Software for developing quantum computing programs
License: Apache 2.0
URL: https://qiskit.org/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/bb/40/ab53b042104a00984b5620b3f44986d1e55757dba983f49adf30ffb136f7/qiskit-0.42.1.tar.gz
BuildArch: noarch
%description
[](https://opensource.org/licenses/Apache-2.0)
[](https://github.com/Qiskit/qiskit/releases)
[](https://pypi.org/project/qiskit/)
[](https://zenodo.org/badge/latestdoi/161550823)
**Qiskit** is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
Qiskit is made up of elements that work together to enable quantum computing. This is a simple meta-package to install the elements of Qiskit altogether.
## Installation
The best way of installing `qiskit` is by using `pip`:
```bash
$ pip install qiskit
```
See [install](https://qiskit.org/documentation/getting_started.html) Qiskit for detailed instructions, how to use virtual environments, and
build from source standalone versions of the individual Qiskit elements and components.
## Qiskit Packaging
The Qiskit project used to be made up of many components. However, in the future the Qiskit metapackage will only install [**Qiskit Terra**](https://github.com/Qiskit/qiskit-terra):
| Build | Version | Contribute |
| --- | --- | --- |
| [**Qiskit Terra**](https://github.com/Qiskit/qiskit-terra) | [](https://github.com/Qiskit/qiskit-terra/releases) | [](https://github.com/Qiskit/qiskit-terra) |
<table>
<tr>
<td colspan="3" align="center">:warning: WARNING :warning:</br> <b>For the time being, two other packages are installed, but these components will be removed from the metapackage in a future release.</b></td>
</tr>
<tr>
<th>Build</th>
<th>Version</th>
<th>Contribute</th>
</tr>
<tr>
<td><a href="https://github.com/Qiskit/qiskit-aer"><strong>Qiskit Aer</strong></a></td>
<td><a href="https://github.com/Qiskit/qiskit-aer/releases"><img src="https://camo.githubusercontent.com/7b4ebed2975693dc2d18233e49b7f9141838c1e86f22ac36f465fcd3886821b6/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f72656c656173652f5169736b69742f7169736b69742d6165722e7376673f" alt="" data-canonical-src="https://img.shields.io/github/release/Qiskit/qiskit-aer.svg?"></a></td>
<td><a href="https://github.com/Qiskit/qiskit-aer"><img src="https://camo.githubusercontent.com/ced831707852701ae4c21b1455d6c2d2a03fa54dffe09fcf5208970112023a05/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f5169736b69742f7169736b69742d6165722e7376673f" alt="" data-canonical-src="https://img.shields.io/github/forks/Qiskit/qiskit-aer.svg?"></a></td>
</tr>
<tr>
<td><a href="https://github.com/Qiskit/qiskit-ibmq-provider"><strong>Qiskit IBM Quantum Provider</strong></a></td>
<td><a href="https://github.com/Qiskit/qiskit-ibmq-provider/releases"><img src="https://camo.githubusercontent.com/daa12aee2f03d2d310bd6ad1a5c5babe99b038fc08ad9f0309f5e1c7420c9ffe/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f72656c656173652f5169736b69742f7169736b69742d69626d712d70726f76696465722e7376673f" alt="" data-canonical-src="https://img.shields.io/github/release/Qiskit/qiskit-ibmq-provider.svg?"></a></td>
<td><a href="https://github.com/Qiskit/qiskit-ibmq-provider"><img src="https://camo.githubusercontent.com/49f1938883f91358a594feeddecdd59b3188a353a9a20721a6fefcd64c32f6ce/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f5169736b69742f7169736b69742d69626d712d70726f76696465722e7376673f" alt="" data-canonical-src="https://img.shields.io/github/forks/Qiskit/qiskit-ibmq-provider.svg?"></a></td>
</tr>
</table>
### Optional components
These components are part of the Qiskit ecosystem but are built on top of
`qiskit` and are not installed by default with the meta-package. You can either
install them manually, as an optional extra
(ie `pip install "qiskit[finance,experiments]"`), or all together with
`pip install "qiskit[all]"`.
| Build | Version | Contribute |
| --- | --- | --- |
| [**Qiskit Optimization**](https://github.com/Qiskit/qiskit-optimization) | [](https://github.com/Qiskit/qiskit-optimization/releases) | [](https://github.com/Qiskit/qiskit-optimization) |
| [**Qiskit Finance**](https://github.com/Qiskit/qiskit-finance) | [](https://github.com/Qiskit/qiskit-finance/releases) | [](https://github.com/Qiskit/qiskit-finance) |
| [**Qiskit Machine Learning**](https://github.com/Qiskit/qiskit-machine-learning) | [](https://github.com/Qiskit/qiskit-machine-learning/releases) | [](https://github.com/Qiskit/qiskit-machine-learning) |
| [**Qiskit Nature**](https://github.com/Qiskit/qiskit-nature) | [](https://github.com/Qiskit/qiskit-nature/releases) | [](https://github.com/Qiskit/qiskit-nature) |
| [**Qiskit Experiments**](https://github.com/Qiskit/qiskit-experiments) | [](https://github.com/Qiskit/qiskit-experiments/releases) | [](https://github.com/Qiskit/qiskit-experiments) |
### Using quantum services
If you are interested in using quantum services (i.e. using a real quantum
computer, not a simulator) you can look at the Qiskit Partners program for
partner organizations that have provider packages available for their offerings:
https://qiskit.org/documentation/partners/
## Contribution Guidelines
If you'd like to contribute to Qiskit, please take a look at our
[contribution guidelines](https://qiskit.org/documentation/contributing_to_qiskit.html). This project adheres to Qiskit's [code of conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code.
We use [GitHub issues](https://github.com/Qiskit/qiskit/issues) for tracking requests and bugs. Please use our [Slack](https://qisk.it/join-slack) for discussion and simple questions. For questions that are more suited for a forum we use the Qiskit tag in the [Stack Exchange](https://quantumcomputing.stackexchange.com/questions/tagged/qiskit).
## Next Steps
Now you're set up and ready to check out our
[Qiskit Tutorials](https://github.com/Qiskit/qiskit-tutorials) repository.
## Authors and Citation
Qiskit is the work of [many people](AUTHORS) who contribute to the project at
different levels. If you use Qiskit, please cite as per the included
[BibTeX file](Qiskit.bib).
## License
[Apache License 2.0](LICENSE.txt)
%package -n python3-qiskit
Summary: Software for developing quantum computing programs
Provides: python-qiskit
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-qiskit
[](https://opensource.org/licenses/Apache-2.0)
[](https://github.com/Qiskit/qiskit/releases)
[](https://pypi.org/project/qiskit/)
[](https://zenodo.org/badge/latestdoi/161550823)
**Qiskit** is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
Qiskit is made up of elements that work together to enable quantum computing. This is a simple meta-package to install the elements of Qiskit altogether.
## Installation
The best way of installing `qiskit` is by using `pip`:
```bash
$ pip install qiskit
```
See [install](https://qiskit.org/documentation/getting_started.html) Qiskit for detailed instructions, how to use virtual environments, and
build from source standalone versions of the individual Qiskit elements and components.
## Qiskit Packaging
The Qiskit project used to be made up of many components. However, in the future the Qiskit metapackage will only install [**Qiskit Terra**](https://github.com/Qiskit/qiskit-terra):
| Build | Version | Contribute |
| --- | --- | --- |
| [**Qiskit Terra**](https://github.com/Qiskit/qiskit-terra) | [](https://github.com/Qiskit/qiskit-terra/releases) | [](https://github.com/Qiskit/qiskit-terra) |
<table>
<tr>
<td colspan="3" align="center">:warning: WARNING :warning:</br> <b>For the time being, two other packages are installed, but these components will be removed from the metapackage in a future release.</b></td>
</tr>
<tr>
<th>Build</th>
<th>Version</th>
<th>Contribute</th>
</tr>
<tr>
<td><a href="https://github.com/Qiskit/qiskit-aer"><strong>Qiskit Aer</strong></a></td>
<td><a href="https://github.com/Qiskit/qiskit-aer/releases"><img src="https://camo.githubusercontent.com/7b4ebed2975693dc2d18233e49b7f9141838c1e86f22ac36f465fcd3886821b6/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f72656c656173652f5169736b69742f7169736b69742d6165722e7376673f" alt="" data-canonical-src="https://img.shields.io/github/release/Qiskit/qiskit-aer.svg?"></a></td>
<td><a href="https://github.com/Qiskit/qiskit-aer"><img src="https://camo.githubusercontent.com/ced831707852701ae4c21b1455d6c2d2a03fa54dffe09fcf5208970112023a05/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f5169736b69742f7169736b69742d6165722e7376673f" alt="" data-canonical-src="https://img.shields.io/github/forks/Qiskit/qiskit-aer.svg?"></a></td>
</tr>
<tr>
<td><a href="https://github.com/Qiskit/qiskit-ibmq-provider"><strong>Qiskit IBM Quantum Provider</strong></a></td>
<td><a href="https://github.com/Qiskit/qiskit-ibmq-provider/releases"><img src="https://camo.githubusercontent.com/daa12aee2f03d2d310bd6ad1a5c5babe99b038fc08ad9f0309f5e1c7420c9ffe/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f72656c656173652f5169736b69742f7169736b69742d69626d712d70726f76696465722e7376673f" alt="" data-canonical-src="https://img.shields.io/github/release/Qiskit/qiskit-ibmq-provider.svg?"></a></td>
<td><a href="https://github.com/Qiskit/qiskit-ibmq-provider"><img src="https://camo.githubusercontent.com/49f1938883f91358a594feeddecdd59b3188a353a9a20721a6fefcd64c32f6ce/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f5169736b69742f7169736b69742d69626d712d70726f76696465722e7376673f" alt="" data-canonical-src="https://img.shields.io/github/forks/Qiskit/qiskit-ibmq-provider.svg?"></a></td>
</tr>
</table>
### Optional components
These components are part of the Qiskit ecosystem but are built on top of
`qiskit` and are not installed by default with the meta-package. You can either
install them manually, as an optional extra
(ie `pip install "qiskit[finance,experiments]"`), or all together with
`pip install "qiskit[all]"`.
| Build | Version | Contribute |
| --- | --- | --- |
| [**Qiskit Optimization**](https://github.com/Qiskit/qiskit-optimization) | [](https://github.com/Qiskit/qiskit-optimization/releases) | [](https://github.com/Qiskit/qiskit-optimization) |
| [**Qiskit Finance**](https://github.com/Qiskit/qiskit-finance) | [](https://github.com/Qiskit/qiskit-finance/releases) | [](https://github.com/Qiskit/qiskit-finance) |
| [**Qiskit Machine Learning**](https://github.com/Qiskit/qiskit-machine-learning) | [](https://github.com/Qiskit/qiskit-machine-learning/releases) | [](https://github.com/Qiskit/qiskit-machine-learning) |
| [**Qiskit Nature**](https://github.com/Qiskit/qiskit-nature) | [](https://github.com/Qiskit/qiskit-nature/releases) | [](https://github.com/Qiskit/qiskit-nature) |
| [**Qiskit Experiments**](https://github.com/Qiskit/qiskit-experiments) | [](https://github.com/Qiskit/qiskit-experiments/releases) | [](https://github.com/Qiskit/qiskit-experiments) |
### Using quantum services
If you are interested in using quantum services (i.e. using a real quantum
computer, not a simulator) you can look at the Qiskit Partners program for
partner organizations that have provider packages available for their offerings:
https://qiskit.org/documentation/partners/
## Contribution Guidelines
If you'd like to contribute to Qiskit, please take a look at our
[contribution guidelines](https://qiskit.org/documentation/contributing_to_qiskit.html). This project adheres to Qiskit's [code of conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code.
We use [GitHub issues](https://github.com/Qiskit/qiskit/issues) for tracking requests and bugs. Please use our [Slack](https://qisk.it/join-slack) for discussion and simple questions. For questions that are more suited for a forum we use the Qiskit tag in the [Stack Exchange](https://quantumcomputing.stackexchange.com/questions/tagged/qiskit).
## Next Steps
Now you're set up and ready to check out our
[Qiskit Tutorials](https://github.com/Qiskit/qiskit-tutorials) repository.
## Authors and Citation
Qiskit is the work of [many people](AUTHORS) who contribute to the project at
different levels. If you use Qiskit, please cite as per the included
[BibTeX file](Qiskit.bib).
## License
[Apache License 2.0](LICENSE.txt)
%package help
Summary: Development documents and examples for qiskit
Provides: python3-qiskit-doc
%description help
[](https://opensource.org/licenses/Apache-2.0)
[](https://github.com/Qiskit/qiskit/releases)
[](https://pypi.org/project/qiskit/)
[](https://zenodo.org/badge/latestdoi/161550823)
**Qiskit** is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
Qiskit is made up of elements that work together to enable quantum computing. This is a simple meta-package to install the elements of Qiskit altogether.
## Installation
The best way of installing `qiskit` is by using `pip`:
```bash
$ pip install qiskit
```
See [install](https://qiskit.org/documentation/getting_started.html) Qiskit for detailed instructions, how to use virtual environments, and
build from source standalone versions of the individual Qiskit elements and components.
## Qiskit Packaging
The Qiskit project used to be made up of many components. However, in the future the Qiskit metapackage will only install [**Qiskit Terra**](https://github.com/Qiskit/qiskit-terra):
| Build | Version | Contribute |
| --- | --- | --- |
| [**Qiskit Terra**](https://github.com/Qiskit/qiskit-terra) | [](https://github.com/Qiskit/qiskit-terra/releases) | [](https://github.com/Qiskit/qiskit-terra) |
<table>
<tr>
<td colspan="3" align="center">:warning: WARNING :warning:</br> <b>For the time being, two other packages are installed, but these components will be removed from the metapackage in a future release.</b></td>
</tr>
<tr>
<th>Build</th>
<th>Version</th>
<th>Contribute</th>
</tr>
<tr>
<td><a href="https://github.com/Qiskit/qiskit-aer"><strong>Qiskit Aer</strong></a></td>
<td><a href="https://github.com/Qiskit/qiskit-aer/releases"><img src="https://camo.githubusercontent.com/7b4ebed2975693dc2d18233e49b7f9141838c1e86f22ac36f465fcd3886821b6/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f72656c656173652f5169736b69742f7169736b69742d6165722e7376673f" alt="" data-canonical-src="https://img.shields.io/github/release/Qiskit/qiskit-aer.svg?"></a></td>
<td><a href="https://github.com/Qiskit/qiskit-aer"><img src="https://camo.githubusercontent.com/ced831707852701ae4c21b1455d6c2d2a03fa54dffe09fcf5208970112023a05/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f5169736b69742f7169736b69742d6165722e7376673f" alt="" data-canonical-src="https://img.shields.io/github/forks/Qiskit/qiskit-aer.svg?"></a></td>
</tr>
<tr>
<td><a href="https://github.com/Qiskit/qiskit-ibmq-provider"><strong>Qiskit IBM Quantum Provider</strong></a></td>
<td><a href="https://github.com/Qiskit/qiskit-ibmq-provider/releases"><img src="https://camo.githubusercontent.com/daa12aee2f03d2d310bd6ad1a5c5babe99b038fc08ad9f0309f5e1c7420c9ffe/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f72656c656173652f5169736b69742f7169736b69742d69626d712d70726f76696465722e7376673f" alt="" data-canonical-src="https://img.shields.io/github/release/Qiskit/qiskit-ibmq-provider.svg?"></a></td>
<td><a href="https://github.com/Qiskit/qiskit-ibmq-provider"><img src="https://camo.githubusercontent.com/49f1938883f91358a594feeddecdd59b3188a353a9a20721a6fefcd64c32f6ce/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f5169736b69742f7169736b69742d69626d712d70726f76696465722e7376673f" alt="" data-canonical-src="https://img.shields.io/github/forks/Qiskit/qiskit-ibmq-provider.svg?"></a></td>
</tr>
</table>
### Optional components
These components are part of the Qiskit ecosystem but are built on top of
`qiskit` and are not installed by default with the meta-package. You can either
install them manually, as an optional extra
(ie `pip install "qiskit[finance,experiments]"`), or all together with
`pip install "qiskit[all]"`.
| Build | Version | Contribute |
| --- | --- | --- |
| [**Qiskit Optimization**](https://github.com/Qiskit/qiskit-optimization) | [](https://github.com/Qiskit/qiskit-optimization/releases) | [](https://github.com/Qiskit/qiskit-optimization) |
| [**Qiskit Finance**](https://github.com/Qiskit/qiskit-finance) | [](https://github.com/Qiskit/qiskit-finance/releases) | [](https://github.com/Qiskit/qiskit-finance) |
| [**Qiskit Machine Learning**](https://github.com/Qiskit/qiskit-machine-learning) | [](https://github.com/Qiskit/qiskit-machine-learning/releases) | [](https://github.com/Qiskit/qiskit-machine-learning) |
| [**Qiskit Nature**](https://github.com/Qiskit/qiskit-nature) | [](https://github.com/Qiskit/qiskit-nature/releases) | [](https://github.com/Qiskit/qiskit-nature) |
| [**Qiskit Experiments**](https://github.com/Qiskit/qiskit-experiments) | [](https://github.com/Qiskit/qiskit-experiments/releases) | [](https://github.com/Qiskit/qiskit-experiments) |
### Using quantum services
If you are interested in using quantum services (i.e. using a real quantum
computer, not a simulator) you can look at the Qiskit Partners program for
partner organizations that have provider packages available for their offerings:
https://qiskit.org/documentation/partners/
## Contribution Guidelines
If you'd like to contribute to Qiskit, please take a look at our
[contribution guidelines](https://qiskit.org/documentation/contributing_to_qiskit.html). This project adheres to Qiskit's [code of conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code.
We use [GitHub issues](https://github.com/Qiskit/qiskit/issues) for tracking requests and bugs. Please use our [Slack](https://qisk.it/join-slack) for discussion and simple questions. For questions that are more suited for a forum we use the Qiskit tag in the [Stack Exchange](https://quantumcomputing.stackexchange.com/questions/tagged/qiskit).
## Next Steps
Now you're set up and ready to check out our
[Qiskit Tutorials](https://github.com/Qiskit/qiskit-tutorials) repository.
## Authors and Citation
Qiskit is the work of [many people](AUTHORS) who contribute to the project at
different levels. If you use Qiskit, please cite as per the included
[BibTeX file](Qiskit.bib).
## License
[Apache License 2.0](LICENSE.txt)
%prep
%autosetup -n qiskit-0.42.1
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-qiskit -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.42.1-1
- Package Spec generated
|
