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| author | CoprDistGit <infra@openeuler.org> | 2023-04-10 20:42:56 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-04-10 20:42:56 +0000 |
| commit | 48ab856b0b7c26754f36094e2a158ab9d889b772 (patch) | |
| tree | 95110937f9a344a63c4c2ca543c3db27e128a465 | |
| parent | c2f3529ba1a603b54ee86be49c03507542519fcd (diff) | |
automatic import of python-qiskit-aer
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-qiskit-aer.spec | 388 | ||||
| -rw-r--r-- | sources | 1 |
3 files changed, 390 insertions, 0 deletions
@@ -0,0 +1 @@ +/qiskit-aer-0.12.0.tar.gz diff --git a/python-qiskit-aer.spec b/python-qiskit-aer.spec new file mode 100644 index 0000000..1c63de8 --- /dev/null +++ b/python-qiskit-aer.spec @@ -0,0 +1,388 @@ +%global _empty_manifest_terminate_build 0 +Name: python-qiskit-aer +Version: 0.12.0 +Release: 1 +Summary: Qiskit Aer - High performance simulators for Qiskit +License: Apache 2.0 +URL: https://github.com/Qiskit/qiskit-aer +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/03/96/ea1988dac83a1cd5a28576a79fdc5f12fec2025b4a5a8ad500592f142dde/qiskit-aer-0.12.0.tar.gz + +Requires: python3-qiskit-terra +Requires: python3-numpy +Requires: python3-scipy +Requires: python3-dask +Requires: python3-distributed + +%description +# Qiskit Aer + +[](https://opensource.org/licenses/Apache-2.0)[](https://travis-ci.com/Qiskit/qiskit-aer)[](https://github.com/Qiskit/qiskit-aer/releases)[](https://pypi.org/project/qiskit-aer/) + +**Qiskit** is an open-source framework for working with noisy quantum computers at the level of pulses, circuits, and algorithms. + +Qiskit is made up of elements that each work together to enable quantum computing. This element is **Aer**, which provides high-performance quantum computing simulators with realistic noise models. + +## Installation + +We encourage installing Qiskit via the pip tool (a python package manager). The following command installs the core Qiskit components, including Aer. + +```bash +pip install qiskit qiskit-aer +``` + +Pip will handle all dependencies automatically for us and you will always install the latest (and well-tested) version. + +To install from source, follow the instructions in the [contribution guidelines](CONTRIBUTING.md). + +## Installing GPU support + +In order to install and run the GPU supported simulators on Linux, you need CUDA® 10.1 or newer previously installed. +CUDA® itself would require a set of specific GPU drivers. Please follow CUDA® installation procedure in the NVIDIA® [web](https://www.nvidia.com/drivers). + +If you want to install our GPU supported simulators, you have to install this other package: + +```bash +pip install qiskit-aer-gpu +``` + +This will overwrite your current `qiskit-aer` package installation giving you +the same functionality found in the canonical `qiskit-aer` package, plus the +ability to run the GPU supported simulators: statevector, density matrix, and unitary. + +**Note**: This package is only available on x86_64 Linux. For other platforms +that have CUDA support you will have to build from source. You can refer to +the [contributing guide](CONTRIBUTING.md#building-with-gpu-support) +for instructions on doing this. + +## Simulating your first quantum program with Qiskit Aer +Now that you have Qiskit Aer installed, you can start simulating quantum circuits with noise. Here is a basic example: + +``` +$ python +``` + +```python +import qiskit +from qiskit import IBMQ +from qiskit_aer import AerSimulator + +# Generate 3-qubit GHZ state +circ = qiskit.QuantumCircuit(3) +circ.h(0) +circ.cx(0, 1) +circ.cx(1, 2) +circ.measure_all() + +# Construct an ideal simulator +aersim = AerSimulator() + +# Perform an ideal simulation +result_ideal = qiskit.execute(circ, aersim).result() +counts_ideal = result_ideal.get_counts(0) +print('Counts(ideal):', counts_ideal) +# Counts(ideal): {'000': 493, '111': 531} + +# Construct a noisy simulator backend from an IBMQ backend +# This simulator backend will be automatically configured +# using the device configuration and noise model +provider = IBMQ.load_account() +backend = provider.get_backend('ibmq_athens') +aersim_backend = AerSimulator.from_backend(backend) + +# Perform noisy simulation +result_noise = qiskit.execute(circ, aersim_backend).result() +counts_noise = result_noise.get_counts(0) + +print('Counts(noise):', counts_noise) +# Counts(noise): {'000': 492, '001': 6, '010': 8, '011': 14, '100': 3, '101': 14, '110': 18, '111': 469} +``` + +## Contribution Guidelines + +If you'd like to contribute to Qiskit, please take a look at our +[contribution guidelines](CONTRIBUTING.md). This project adheres to Qiskit's [code of conduct](CODE_OF_CONDUCT.md). By participating, you are expect to uphold to this code. + +We use [GitHub issues](https://github.com/Qiskit/qiskit-aer/issues) for tracking requests and bugs. Please use our [slack](https://qiskit.slack.com) for discussion and simple questions. To join our Slack community use the [link](https://qiskit.slack.com/join/shared_invite/zt-fybmq791-hYRopcSH6YetxycNPXgv~A#/). 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 some of the other examples from our +[Qiskit IQX Tutorials](https://github.com/Qiskit/qiskit-tutorials/tree/master/tutorials/simulators) or [Qiskit Community Tutorials](https://github.com/Qiskit/qiskit-community-tutorials/tree/master/aer) repositories. + +## Authors and Citation + +Qiskit Aer is the work of [many people](https://github.com/Qiskit/qiskit-aer/graphs/contributors) who contribute +to the project at different levels. If you use Qiskit, please cite as per the included [BibTeX file](https://github.com/Qiskit/qiskit/blob/master/Qiskit.bib). + +## License + +[Apache License 2.0](LICENSE.txt) + + +%package -n python3-qiskit-aer +Summary: Qiskit Aer - High performance simulators for Qiskit +Provides: python-qiskit-aer +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +BuildRequires: python3-cffi +BuildRequires: gcc +BuildRequires: gdb +%description -n python3-qiskit-aer +# Qiskit Aer + +[](https://opensource.org/licenses/Apache-2.0)[](https://travis-ci.com/Qiskit/qiskit-aer)[](https://github.com/Qiskit/qiskit-aer/releases)[](https://pypi.org/project/qiskit-aer/) + +**Qiskit** is an open-source framework for working with noisy quantum computers at the level of pulses, circuits, and algorithms. + +Qiskit is made up of elements that each work together to enable quantum computing. This element is **Aer**, which provides high-performance quantum computing simulators with realistic noise models. + +## Installation + +We encourage installing Qiskit via the pip tool (a python package manager). The following command installs the core Qiskit components, including Aer. + +```bash +pip install qiskit qiskit-aer +``` + +Pip will handle all dependencies automatically for us and you will always install the latest (and well-tested) version. + +To install from source, follow the instructions in the [contribution guidelines](CONTRIBUTING.md). + +## Installing GPU support + +In order to install and run the GPU supported simulators on Linux, you need CUDA® 10.1 or newer previously installed. +CUDA® itself would require a set of specific GPU drivers. Please follow CUDA® installation procedure in the NVIDIA® [web](https://www.nvidia.com/drivers). + +If you want to install our GPU supported simulators, you have to install this other package: + +```bash +pip install qiskit-aer-gpu +``` + +This will overwrite your current `qiskit-aer` package installation giving you +the same functionality found in the canonical `qiskit-aer` package, plus the +ability to run the GPU supported simulators: statevector, density matrix, and unitary. + +**Note**: This package is only available on x86_64 Linux. For other platforms +that have CUDA support you will have to build from source. You can refer to +the [contributing guide](CONTRIBUTING.md#building-with-gpu-support) +for instructions on doing this. + +## Simulating your first quantum program with Qiskit Aer +Now that you have Qiskit Aer installed, you can start simulating quantum circuits with noise. Here is a basic example: + +``` +$ python +``` + +```python +import qiskit +from qiskit import IBMQ +from qiskit_aer import AerSimulator + +# Generate 3-qubit GHZ state +circ = qiskit.QuantumCircuit(3) +circ.h(0) +circ.cx(0, 1) +circ.cx(1, 2) +circ.measure_all() + +# Construct an ideal simulator +aersim = AerSimulator() + +# Perform an ideal simulation +result_ideal = qiskit.execute(circ, aersim).result() +counts_ideal = result_ideal.get_counts(0) +print('Counts(ideal):', counts_ideal) +# Counts(ideal): {'000': 493, '111': 531} + +# Construct a noisy simulator backend from an IBMQ backend +# This simulator backend will be automatically configured +# using the device configuration and noise model +provider = IBMQ.load_account() +backend = provider.get_backend('ibmq_athens') +aersim_backend = AerSimulator.from_backend(backend) + +# Perform noisy simulation +result_noise = qiskit.execute(circ, aersim_backend).result() +counts_noise = result_noise.get_counts(0) + +print('Counts(noise):', counts_noise) +# Counts(noise): {'000': 492, '001': 6, '010': 8, '011': 14, '100': 3, '101': 14, '110': 18, '111': 469} +``` + +## Contribution Guidelines + +If you'd like to contribute to Qiskit, please take a look at our +[contribution guidelines](CONTRIBUTING.md). This project adheres to Qiskit's [code of conduct](CODE_OF_CONDUCT.md). By participating, you are expect to uphold to this code. + +We use [GitHub issues](https://github.com/Qiskit/qiskit-aer/issues) for tracking requests and bugs. Please use our [slack](https://qiskit.slack.com) for discussion and simple questions. To join our Slack community use the [link](https://qiskit.slack.com/join/shared_invite/zt-fybmq791-hYRopcSH6YetxycNPXgv~A#/). 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 some of the other examples from our +[Qiskit IQX Tutorials](https://github.com/Qiskit/qiskit-tutorials/tree/master/tutorials/simulators) or [Qiskit Community Tutorials](https://github.com/Qiskit/qiskit-community-tutorials/tree/master/aer) repositories. + +## Authors and Citation + +Qiskit Aer is the work of [many people](https://github.com/Qiskit/qiskit-aer/graphs/contributors) who contribute +to the project at different levels. If you use Qiskit, please cite as per the included [BibTeX file](https://github.com/Qiskit/qiskit/blob/master/Qiskit.bib). + +## License + +[Apache License 2.0](LICENSE.txt) + + +%package help +Summary: Development documents and examples for qiskit-aer +Provides: python3-qiskit-aer-doc +%description help +# Qiskit Aer + +[](https://opensource.org/licenses/Apache-2.0)[](https://travis-ci.com/Qiskit/qiskit-aer)[](https://github.com/Qiskit/qiskit-aer/releases)[](https://pypi.org/project/qiskit-aer/) + +**Qiskit** is an open-source framework for working with noisy quantum computers at the level of pulses, circuits, and algorithms. + +Qiskit is made up of elements that each work together to enable quantum computing. This element is **Aer**, which provides high-performance quantum computing simulators with realistic noise models. + +## Installation + +We encourage installing Qiskit via the pip tool (a python package manager). The following command installs the core Qiskit components, including Aer. + +```bash +pip install qiskit qiskit-aer +``` + +Pip will handle all dependencies automatically for us and you will always install the latest (and well-tested) version. + +To install from source, follow the instructions in the [contribution guidelines](CONTRIBUTING.md). + +## Installing GPU support + +In order to install and run the GPU supported simulators on Linux, you need CUDA® 10.1 or newer previously installed. +CUDA® itself would require a set of specific GPU drivers. Please follow CUDA® installation procedure in the NVIDIA® [web](https://www.nvidia.com/drivers). + +If you want to install our GPU supported simulators, you have to install this other package: + +```bash +pip install qiskit-aer-gpu +``` + +This will overwrite your current `qiskit-aer` package installation giving you +the same functionality found in the canonical `qiskit-aer` package, plus the +ability to run the GPU supported simulators: statevector, density matrix, and unitary. + +**Note**: This package is only available on x86_64 Linux. For other platforms +that have CUDA support you will have to build from source. You can refer to +the [contributing guide](CONTRIBUTING.md#building-with-gpu-support) +for instructions on doing this. + +## Simulating your first quantum program with Qiskit Aer +Now that you have Qiskit Aer installed, you can start simulating quantum circuits with noise. Here is a basic example: + +``` +$ python +``` + +```python +import qiskit +from qiskit import IBMQ +from qiskit_aer import AerSimulator + +# Generate 3-qubit GHZ state +circ = qiskit.QuantumCircuit(3) +circ.h(0) +circ.cx(0, 1) +circ.cx(1, 2) +circ.measure_all() + +# Construct an ideal simulator +aersim = AerSimulator() + +# Perform an ideal simulation +result_ideal = qiskit.execute(circ, aersim).result() +counts_ideal = result_ideal.get_counts(0) +print('Counts(ideal):', counts_ideal) +# Counts(ideal): {'000': 493, '111': 531} + +# Construct a noisy simulator backend from an IBMQ backend +# This simulator backend will be automatically configured +# using the device configuration and noise model +provider = IBMQ.load_account() +backend = provider.get_backend('ibmq_athens') +aersim_backend = AerSimulator.from_backend(backend) + +# Perform noisy simulation +result_noise = qiskit.execute(circ, aersim_backend).result() +counts_noise = result_noise.get_counts(0) + +print('Counts(noise):', counts_noise) +# Counts(noise): {'000': 492, '001': 6, '010': 8, '011': 14, '100': 3, '101': 14, '110': 18, '111': 469} +``` + +## Contribution Guidelines + +If you'd like to contribute to Qiskit, please take a look at our +[contribution guidelines](CONTRIBUTING.md). This project adheres to Qiskit's [code of conduct](CODE_OF_CONDUCT.md). By participating, you are expect to uphold to this code. + +We use [GitHub issues](https://github.com/Qiskit/qiskit-aer/issues) for tracking requests and bugs. Please use our [slack](https://qiskit.slack.com) for discussion and simple questions. To join our Slack community use the [link](https://qiskit.slack.com/join/shared_invite/zt-fybmq791-hYRopcSH6YetxycNPXgv~A#/). 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 some of the other examples from our +[Qiskit IQX Tutorials](https://github.com/Qiskit/qiskit-tutorials/tree/master/tutorials/simulators) or [Qiskit Community Tutorials](https://github.com/Qiskit/qiskit-community-tutorials/tree/master/aer) repositories. + +## Authors and Citation + +Qiskit Aer is the work of [many people](https://github.com/Qiskit/qiskit-aer/graphs/contributors) who contribute +to the project at different levels. If you use Qiskit, please cite as per the included [BibTeX file](https://github.com/Qiskit/qiskit/blob/master/Qiskit.bib). + +## License + +[Apache License 2.0](LICENSE.txt) + + +%prep +%autosetup -n qiskit-aer-0.12.0 + +%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-aer -f filelist.lst +%dir %{python3_sitearch}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.12.0-1 +- Package Spec generated @@ -0,0 +1 @@ +e67b1266345bc84cd0ae655092ccdfa9 qiskit-aer-0.12.0.tar.gz |