# qibo

**Repository Path**: roland_gitee/qibo

## Basic Information

- **Project Name**: qibo
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-07-13
- **Last Updated**: 2024-07-13

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

![Logo](https://github.com/qiboteam/qibo/blob/master/doc/source/_static/qibo_logo_dark.svg)

[![codecov](https://codecov.io/gh/qiboteam/qibo/branch/master/graph/badge.svg?token=1EKZKVEVX0)](https://codecov.io/gh/qiboteam/qibo)
![PyPI - Version](https://img.shields.io/pypi/v/qibo)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/qibo)

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

[![docs](https://github.com/qiboteam/qibo/actions/workflows/publish.yml/badge.svg)](https://qibo.science/qibo/stable/)

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 import Circuit, 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
[![arXiv](https://img.shields.io/badge/arXiv-2009.01845-b31b1b.svg)](https://arxiv.org/abs/2009.01845)
[![DOI](https://zenodo.org/badge/241307936.svg)](https://zenodo.org/badge/latestdoi/241307936)

If you use the package please refer to [the documentation](https://qibo.science/qibo/stable/appendix/citing-qibo.html#publications) for citation instructions.

## Contacts

To get in touch with the community and the developers, consider joining the Qibo workspace on Matrix:

[![Matrix](https://img.shields.io/matrix/qibo%3Amatrix.org?logo=matrix)](https://matrix.to/#/#qibo:matrix.org)

## 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.
- Università degli Studi di Milano-Bicocca (UNIMIB), 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.