Apache License 2.0

项目介绍

qiboteam/qibo 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 Apache License 2.0 许可证,目前获得 370 个 Star、108 次 Fork。

仓库全名
qiboteam/qibo
开源许可证
Apache License 2.0
Star 数
370
Fork 数
108
未关闭 Issue
58

README 摘要

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…

完整内容见 GitHub 原始 README 或本页 。

常见问题

qibo 用什么语言开发?

主要使用 Python 编写,采用 Apache License 2.0 许可证,目前有 370 个 Star。

qibo 可以免费商用吗?

仓库采用 Apache License 2.0 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 qibo 的源码?

可以直接克隆仓库:git clone https://github.com/qiboteam/qibo.git,默认分支为 main;安装与运行步骤见仓库 README。

qibo 最近还在维护吗?

仓库最近一次更新为 1 天前,当前有 58 个未关闭 Issue;Star 数为 370,可作为社区活跃度的参考。

关于

A full-stack framework for quantum computing.

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

简要分析

热度分
615
价值分
254
活跃状态
活跃

语言占比

Nix
Python
Shell

Release

README

Logo

codecov PyPI - Version PyPI - Python Version

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

Qibo documentation is available here.

Minimum Working Examples

A simple Quantum Fourier Transform (QFT) example to test your installation:

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:

import numpy as np
from qibo import Circuit, gates

circuit = Circuit(2)
circuit.add(gates.X(0))

# Add a measurement register on both qubits
circuit.add(gates.M(0, 1))

# Execute the circuit with the default initial state |00>.
result = circuit(nshots=100)

In both cases, the simulation will run in a single device CPU or GPU in double precision complex128.

Citation policy

arXiv DOI

If you use the package please refer to the documentation for citation instructions.

Contacts

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

Matrix

If you have a question about the project, please contact us with 📫.

Supporters

Financial Sponsors and Development Partners

Collaborators

  • Università degli Studi di Milano (UNIMI), 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 & cuda-quantum), USA.

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