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diff --git a/python-pygsti.spec b/python-pygsti.spec new file mode 100644 index 0000000..daab328 --- /dev/null +++ b/python-pygsti.spec @@ -0,0 +1,235 @@ +%global _empty_manifest_terminate_build 0 +Name: python-pyGSTi +Version: 0.9.11.1 +Release: 1 +Summary: A python implementation of Gate Set Tomography +License: Apache Software License +URL: http://www.pygsti.info +Source0: https://mirrors.aliyun.com/pypi/web/packages/f1/72/d06ffb67afd521b0d3c57ec762ebb372236d9794d5f7e818ecefa797297e/pyGSTi-0.9.11.1.tar.gz + +Requires: python3-numpy +Requires: python3-scipy +Requires: python3-plotly +Requires: python3-pandas +Requires: python3-ipython +Requires: python3-cirq +Requires: python3-ply +Requires: python3-pytest +Requires: python3-flake8 +Requires: python3-pandas +Requires: python3-matplotlib +Requires: python3-qibo +Requires: python3-nbval +Requires: python3-cvxopt +Requires: python3-psutil +Requires: python3-pytest-xdist +Requires: python3-csaps +Requires: python3-pymongo +Requires: python3-cvxopt +Requires: python3-autopep8 +Requires: python3-notebook +Requires: python3-cvxpy +Requires: python3-jinja2 +Requires: python3-MarkupSafe +Requires: python3-seaborn +Requires: python3-zmq +Requires: python3-nose +Requires: python3-mpi4py +Requires: python3-msgpack +Requires: python3-cython +Requires: python3-packaging +Requires: python3-pytest-cov +Requires: python3-deap +Requires: python3-cvxopt +Requires: python3-cvxpy +Requires: python3-deap +Requires: python3-cython +Requires: python3-jinja2 +Requires: python3-MarkupSafe +Requires: python3-csaps +Requires: python3-autopep8 +Requires: python3-flake8 +Requires: python3-psutil +Requires: python3-pymongo +Requires: python3-msgpack +Requires: python3-mpi4py +Requires: python3-ipython +Requires: python3-cirq +Requires: python3-ply +Requires: python3-pytest +Requires: python3-flake8 +Requires: python3-pandas +Requires: python3-matplotlib +Requires: python3-qibo +Requires: python3-nbval +Requires: python3-cvxopt +Requires: python3-psutil +Requires: python3-pytest-xdist +Requires: python3-csaps +Requires: python3-pymongo +Requires: python3-cvxopt +Requires: python3-autopep8 +Requires: python3-notebook +Requires: python3-cvxpy +Requires: python3-jinja2 +Requires: python3-MarkupSafe +Requires: python3-seaborn +Requires: python3-zmq +Requires: python3-nose +Requires: python3-msgpack +Requires: python3-cython +Requires: python3-packaging +Requires: python3-pytest-cov +Requires: python3-deap +Requires: python3-ipython +Requires: python3-notebook +Requires: python3-matplotlib +Requires: python3-pandas +Requires: python3-pytest +Requires: python3-pytest-xdist +Requires: python3-pytest-cov +Requires: python3-nbval +Requires: python3-nose +Requires: python3-csaps +Requires: python3-cvxopt +Requires: python3-cvxpy +Requires: python3-cython +Requires: python3-matplotlib +Requires: python3-mpi4py +Requires: python3-msgpack +Requires: python3-packaging +Requires: python3-pandas +Requires: python3-psutil +Requires: python3-zmq +Requires: python3-jinja2 +Requires: python3-seaborn +Requires: python3-ply +Requires: python3-qibo +Requires: python3-cirq +Requires: python3-notebook +Requires: python3-ipython + +%description +Gate set tomography (GST) is a quantum tomography protocol that provides full characterization of a quantum logic device +(e.g. a qubit). GST estimates a set of quantum logic gates and (simultaneously) the associated state preparation and +measurement (SPAM) operations. GST is self-calibrating. This eliminates a key limitation of traditional quantum state +and process tomography, which characterize either states (assuming perfect processes) or processes (assuming perfect +state preparation and measurement), but not both together. Compared with benchmarking protocols such as randomized +benchmarking, GST provides much more detailed and accurate information about the gates, but demands more data. The +primary downside of GST has been its complexity. Whereas benchmarking and state/process tomography data can be analyzed +with relatively simple algorithms, GST requires more complex algorithms and more fine-tuning (linear GST is an exception +that can be implemented easily). pyGSTi addresses and eliminates this obstacle by providing a fully-featured, publicly +available implementation of GST in the Python programming language. + +The primary goals of the pyGSTi project are to: + +- provide efficient and robust implementations of Gate Set Tomography algorithms; +- allow straightforward interoperability with other software; +- provide a powerful high-level interface suited to inexperienced programmers, so that + common GST tasks can be performed using just one or two lines of code; +- use modular design to make it easy for users to modify, customize, and extend GST functionality. + + + + +%package -n python3-pyGSTi +Summary: A python implementation of Gate Set Tomography +Provides: python-pyGSTi +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +BuildRequires: python3-cffi +BuildRequires: gcc +BuildRequires: gdb +%description -n python3-pyGSTi +Gate set tomography (GST) is a quantum tomography protocol that provides full characterization of a quantum logic device +(e.g. a qubit). GST estimates a set of quantum logic gates and (simultaneously) the associated state preparation and +measurement (SPAM) operations. GST is self-calibrating. This eliminates a key limitation of traditional quantum state +and process tomography, which characterize either states (assuming perfect processes) or processes (assuming perfect +state preparation and measurement), but not both together. Compared with benchmarking protocols such as randomized +benchmarking, GST provides much more detailed and accurate information about the gates, but demands more data. The +primary downside of GST has been its complexity. Whereas benchmarking and state/process tomography data can be analyzed +with relatively simple algorithms, GST requires more complex algorithms and more fine-tuning (linear GST is an exception +that can be implemented easily). pyGSTi addresses and eliminates this obstacle by providing a fully-featured, publicly +available implementation of GST in the Python programming language. + +The primary goals of the pyGSTi project are to: + +- provide efficient and robust implementations of Gate Set Tomography algorithms; +- allow straightforward interoperability with other software; +- provide a powerful high-level interface suited to inexperienced programmers, so that + common GST tasks can be performed using just one or two lines of code; +- use modular design to make it easy for users to modify, customize, and extend GST functionality. + + + + +%package help +Summary: Development documents and examples for pyGSTi +Provides: python3-pyGSTi-doc +%description help +Gate set tomography (GST) is a quantum tomography protocol that provides full characterization of a quantum logic device +(e.g. a qubit). GST estimates a set of quantum logic gates and (simultaneously) the associated state preparation and +measurement (SPAM) operations. GST is self-calibrating. This eliminates a key limitation of traditional quantum state +and process tomography, which characterize either states (assuming perfect processes) or processes (assuming perfect +state preparation and measurement), but not both together. Compared with benchmarking protocols such as randomized +benchmarking, GST provides much more detailed and accurate information about the gates, but demands more data. The +primary downside of GST has been its complexity. Whereas benchmarking and state/process tomography data can be analyzed +with relatively simple algorithms, GST requires more complex algorithms and more fine-tuning (linear GST is an exception +that can be implemented easily). pyGSTi addresses and eliminates this obstacle by providing a fully-featured, publicly +available implementation of GST in the Python programming language. + +The primary goals of the pyGSTi project are to: + +- provide efficient and robust implementations of Gate Set Tomography algorithms; +- allow straightforward interoperability with other software; +- provide a powerful high-level interface suited to inexperienced programmers, so that + common GST tasks can be performed using just one or two lines of code; +- use modular design to make it easy for users to modify, customize, and extend GST functionality. + + + + +%prep +%autosetup -n pyGSTi-0.9.11.1 + +%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-pyGSTi -f filelist.lst +%dir %{python3_sitearch}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 0.9.11.1-1 +- Package Spec generated |
