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|
%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
[](https://codecov.io/gh/qiboteam/qibo)
[](https://qibo.readthedocs.io/en/latest/?badge=latest)
[](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
[](https://codecov.io/gh/qiboteam/qibo)
[](https://qibo.readthedocs.io/en/latest/?badge=latest)
[](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
[](https://codecov.io/gh/qiboteam/qibo)
[](https://qibo.readthedocs.io/en/latest/?badge=latest)
[](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 <Python_Bot@openeuler.org> - 0.1.14-1
- Package Spec generated
|
