%global _empty_manifest_terminate_build 0 Name: python-qibo Version: 0.1.14 Release: 1 Summary: A framework for quantum computing with hardware acceleration. License: Apache-2.0 URL: https://qibo.science/ Source0: https://mirrors.aliyun.com/pypi/web/packages/74/c6/9011f04a234daf4f98f088bf56318c5b7e6d812a8b75fdf4cac41a3d6052/qibo-0.1.14.tar.gz BuildArch: noarch Requires: python3-cma Requires: python3-joblib Requires: python3-matplotlib Requires: python3-psutil Requires: python3-scipy Requires: python3-sympy Requires: python3-tabulate %description ![](doc/source/qibo_logo.svg) ![Tests](https://github.com/qiboteam/qibo/workflows/Tests/badge.svg) [![codecov](https://codecov.io/gh/qiboteam/qibo/branch/master/graph/badge.svg?token=1EKZKVEVX0)](https://codecov.io/gh/qiboteam/qibo) [![Documentation Status](https://readthedocs.org/projects/qibo/badge/?version=latest)](https://qibo.readthedocs.io/en/latest/?badge=latest) [![DOI](https://zenodo.org/badge/241307936.svg)](https://zenodo.org/badge/latestdoi/241307936) Qibo is an open-source full stack API for quantum simulation and quantum hardware control. Some of the key features of Qibo are: - Definition of a standard language for the construction and execution of quantum circuits with device agnostic approach to simulation and quantum hardware control based on plug and play backend drivers. - A continuously growing code-base of quantum algorithms applications presented with examples and tutorials. - Efficient simulation backends with GPU, multi-GPU and CPU with multi-threading support. - Simple mechanism for the implementation of new simulation and hardware backend drivers. ## Documentation Qibo documentation is available [here](https://qibo.science). ## Minimum Working Examples A simple [Quantum Fourier Transform (QFT)](https://en.wikipedia.org/wiki/Quantum_Fourier_transform) example to test your installation: ```python from qibo.models import QFT # Create a QFT circuit with 15 qubits circuit = QFT(15) # Simulate final state wavefunction default initial state is |00> final_state = circuit() ``` Here another example with more gates and shots simulation: ```python import numpy as np from qibo.models import Circuit from qibo import gates c = Circuit(2) c.add(gates.X(0)) # Add a measurement register on both qubits c.add(gates.M(0, 1)) # Execute the circuit with the default initial state |00>. result = c(nshots=100) ``` In both cases, the simulation will run in a single device CPU or GPU in double precision `complex128`. ## Citation policy If you use the package please refer to [the documentation](https://qibo.science/qibo/stable/appendix/citing-qibo.html#publications) for citation instructions. ## Supporters and collaborators - Quantum Research Center, Technology Innovation Institute (TII), United Arab Emirates - Università degli Studi di Milano (UNIMI), Italy. - Istituto Nazionale di Fisica Nucleare (INFN), Italy. - European Organization for Nuclear research (CERN), Switzerland. - Universitat de Barcelona (UB), Spain. - Barcelona Supercomputing Center (BSC), Spain. - Qilimanjaro Quantum Tech, Spain. - Centre for Quantum Technologies (CQT), Singapore. - Institute of High Performance Computing (IHPC), Singapore. - National Supercomputing Centre (NSCC), Singapore. - RIKEN Center for Computational Science (R-CCS), Japan. - NVIDIA (cuQuantum), USA. %package -n python3-qibo Summary: A framework for quantum computing with hardware acceleration. Provides: python-qibo BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-qibo ![](doc/source/qibo_logo.svg) ![Tests](https://github.com/qiboteam/qibo/workflows/Tests/badge.svg) [![codecov](https://codecov.io/gh/qiboteam/qibo/branch/master/graph/badge.svg?token=1EKZKVEVX0)](https://codecov.io/gh/qiboteam/qibo) [![Documentation Status](https://readthedocs.org/projects/qibo/badge/?version=latest)](https://qibo.readthedocs.io/en/latest/?badge=latest) [![DOI](https://zenodo.org/badge/241307936.svg)](https://zenodo.org/badge/latestdoi/241307936) Qibo is an open-source full stack API for quantum simulation and quantum hardware control. Some of the key features of Qibo are: - Definition of a standard language for the construction and execution of quantum circuits with device agnostic approach to simulation and quantum hardware control based on plug and play backend drivers. - A continuously growing code-base of quantum algorithms applications presented with examples and tutorials. - Efficient simulation backends with GPU, multi-GPU and CPU with multi-threading support. - Simple mechanism for the implementation of new simulation and hardware backend drivers. ## Documentation Qibo documentation is available [here](https://qibo.science). ## Minimum Working Examples A simple [Quantum Fourier Transform (QFT)](https://en.wikipedia.org/wiki/Quantum_Fourier_transform) example to test your installation: ```python from qibo.models import QFT # Create a QFT circuit with 15 qubits circuit = QFT(15) # Simulate final state wavefunction default initial state is |00> final_state = circuit() ``` Here another example with more gates and shots simulation: ```python import numpy as np from qibo.models import Circuit from qibo import gates c = Circuit(2) c.add(gates.X(0)) # Add a measurement register on both qubits c.add(gates.M(0, 1)) # Execute the circuit with the default initial state |00>. result = c(nshots=100) ``` In both cases, the simulation will run in a single device CPU or GPU in double precision `complex128`. ## Citation policy If you use the package please refer to [the documentation](https://qibo.science/qibo/stable/appendix/citing-qibo.html#publications) for citation instructions. ## Supporters and collaborators - Quantum Research Center, Technology Innovation Institute (TII), United Arab Emirates - Università degli Studi di Milano (UNIMI), Italy. - Istituto Nazionale di Fisica Nucleare (INFN), Italy. - European Organization for Nuclear research (CERN), Switzerland. - Universitat de Barcelona (UB), Spain. - Barcelona Supercomputing Center (BSC), Spain. - Qilimanjaro Quantum Tech, Spain. - Centre for Quantum Technologies (CQT), Singapore. - Institute of High Performance Computing (IHPC), Singapore. - National Supercomputing Centre (NSCC), Singapore. - RIKEN Center for Computational Science (R-CCS), Japan. - NVIDIA (cuQuantum), USA. %package help Summary: Development documents and examples for qibo Provides: python3-qibo-doc %description help ![](doc/source/qibo_logo.svg) ![Tests](https://github.com/qiboteam/qibo/workflows/Tests/badge.svg) [![codecov](https://codecov.io/gh/qiboteam/qibo/branch/master/graph/badge.svg?token=1EKZKVEVX0)](https://codecov.io/gh/qiboteam/qibo) [![Documentation Status](https://readthedocs.org/projects/qibo/badge/?version=latest)](https://qibo.readthedocs.io/en/latest/?badge=latest) [![DOI](https://zenodo.org/badge/241307936.svg)](https://zenodo.org/badge/latestdoi/241307936) Qibo is an open-source full stack API for quantum simulation and quantum hardware control. Some of the key features of Qibo are: - Definition of a standard language for the construction and execution of quantum circuits with device agnostic approach to simulation and quantum hardware control based on plug and play backend drivers. - A continuously growing code-base of quantum algorithms applications presented with examples and tutorials. - Efficient simulation backends with GPU, multi-GPU and CPU with multi-threading support. - Simple mechanism for the implementation of new simulation and hardware backend drivers. ## Documentation Qibo documentation is available [here](https://qibo.science). ## Minimum Working Examples A simple [Quantum Fourier Transform (QFT)](https://en.wikipedia.org/wiki/Quantum_Fourier_transform) example to test your installation: ```python from qibo.models import QFT # Create a QFT circuit with 15 qubits circuit = QFT(15) # Simulate final state wavefunction default initial state is |00> final_state = circuit() ``` Here another example with more gates and shots simulation: ```python import numpy as np from qibo.models import Circuit from qibo import gates c = Circuit(2) c.add(gates.X(0)) # Add a measurement register on both qubits c.add(gates.M(0, 1)) # Execute the circuit with the default initial state |00>. result = c(nshots=100) ``` In both cases, the simulation will run in a single device CPU or GPU in double precision `complex128`. ## Citation policy If you use the package please refer to [the documentation](https://qibo.science/qibo/stable/appendix/citing-qibo.html#publications) for citation instructions. ## Supporters and collaborators - Quantum Research Center, Technology Innovation Institute (TII), United Arab Emirates - Università degli Studi di Milano (UNIMI), Italy. - Istituto Nazionale di Fisica Nucleare (INFN), Italy. - European Organization for Nuclear research (CERN), Switzerland. - Universitat de Barcelona (UB), Spain. - Barcelona Supercomputing Center (BSC), Spain. - Qilimanjaro Quantum Tech, Spain. - Centre for Quantum Technologies (CQT), Singapore. - Institute of High Performance Computing (IHPC), Singapore. - National Supercomputing Centre (NSCC), Singapore. - RIKEN Center for Computational Science (R-CCS), Japan. - NVIDIA (cuQuantum), USA. %prep %autosetup -n qibo-0.1.14 %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-qibo -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Thu Jun 08 2023 Python_Bot - 0.1.14-1 - Package Spec generated