%global _empty_manifest_terminate_build 0 Name: python-amazon-braket-pennylane-plugin Version: 1.15.3 Release: 1 Summary: An open source framework for using Amazon Braket devices with the PennyLane quantum machine learning library License: Apache License 2.0 URL: https://github.com/aws/amazon-braket-pennylane-plugin-python Source0: https://mirrors.nju.edu.cn/pypi/web/packages/47/0f/52b979438c2056b55a3c60babb92db9ab4adff01e8c6c0025234c09cce61/amazon-braket-pennylane-plugin-1.15.3.tar.gz BuildArch: noarch Requires: python3-amazon-braket-sdk Requires: python3-pennylane Requires: python3-black Requires: python3-docutils Requires: python3-flake8 Requires: python3-flake8-rst-docstrings Requires: python3-isort Requires: python3-pre-commit Requires: python3-pylint Requires: python3-pytest Requires: python3-pytest-cov Requires: python3-pytest-mock Requires: python3-pytest-rerunfailures Requires: python3-pytest-xdist Requires: python3-sphinx Requires: python3-sphinx-automodapi Requires: python3-sphinx-rtd-theme Requires: python3-sphinxcontrib-apidoc Requires: python3-tox Requires: python3-torch Requires: python3-tensorflow %description Provides four devices to be used with PennyLane: * Two gate-based devices, ``braket.aws.qubit`` for running on the Amazon Braket service, and ``braket.local.qubit`` for running on the Amazon Braket SDK's local simulator. * Two analog Hamiltonian simulation devices, ``braket.aws.ahs`` for running on QPU via the Amazon Braket service, and ``braket.local.ahs`` for running on the Amazon Braket SDK's local simulator. * Combines Amazon Braket with PennyLane's automatic differentiation and optimization. For the gate-based devices: * Both devices support most core qubit PennyLane operations. * All PennyLane observables are supported. * Provides custom PennyLane operations to cover additional Braket operations: ``ISWAP``, ``PSWAP``, and many more. Every custom operation supports analytic differentiation. For the analog Hamiltonian simulation devices: * The devices support ``ParametrizedEvolution`` operators created via the `PennyLane pulse programming `_ module. * PennyLane observables in the measurement (Z) basis are supported * Provides translation of user-defined pulse level control to simulation and hardware implementation %package -n python3-amazon-braket-pennylane-plugin Summary: An open source framework for using Amazon Braket devices with the PennyLane quantum machine learning library Provides: python-amazon-braket-pennylane-plugin BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-amazon-braket-pennylane-plugin Provides four devices to be used with PennyLane: * Two gate-based devices, ``braket.aws.qubit`` for running on the Amazon Braket service, and ``braket.local.qubit`` for running on the Amazon Braket SDK's local simulator. * Two analog Hamiltonian simulation devices, ``braket.aws.ahs`` for running on QPU via the Amazon Braket service, and ``braket.local.ahs`` for running on the Amazon Braket SDK's local simulator. * Combines Amazon Braket with PennyLane's automatic differentiation and optimization. For the gate-based devices: * Both devices support most core qubit PennyLane operations. * All PennyLane observables are supported. * Provides custom PennyLane operations to cover additional Braket operations: ``ISWAP``, ``PSWAP``, and many more. Every custom operation supports analytic differentiation. For the analog Hamiltonian simulation devices: * The devices support ``ParametrizedEvolution`` operators created via the `PennyLane pulse programming `_ module. * PennyLane observables in the measurement (Z) basis are supported * Provides translation of user-defined pulse level control to simulation and hardware implementation %package help Summary: Development documents and examples for amazon-braket-pennylane-plugin Provides: python3-amazon-braket-pennylane-plugin-doc %description help Provides four devices to be used with PennyLane: * Two gate-based devices, ``braket.aws.qubit`` for running on the Amazon Braket service, and ``braket.local.qubit`` for running on the Amazon Braket SDK's local simulator. * Two analog Hamiltonian simulation devices, ``braket.aws.ahs`` for running on QPU via the Amazon Braket service, and ``braket.local.ahs`` for running on the Amazon Braket SDK's local simulator. * Combines Amazon Braket with PennyLane's automatic differentiation and optimization. For the gate-based devices: * Both devices support most core qubit PennyLane operations. * All PennyLane observables are supported. * Provides custom PennyLane operations to cover additional Braket operations: ``ISWAP``, ``PSWAP``, and many more. Every custom operation supports analytic differentiation. For the analog Hamiltonian simulation devices: * The devices support ``ParametrizedEvolution`` operators created via the `PennyLane pulse programming `_ module. * PennyLane observables in the measurement (Z) basis are supported * Provides translation of user-defined pulse level control to simulation and hardware implementation %prep %autosetup -n amazon-braket-pennylane-plugin-1.15.3 %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-amazon-braket-pennylane-plugin -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue May 30 2023 Python_Bot - 1.15.3-1 - Package Spec generated