qiskit-tutorials

A collection of Jupyter notebooks from the community and qiskit developers showing how to use Qiskit

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Qiskit IQX Tutorials

License

Welcome to the Qiskit IQX Tutorials!

In this repository, we've put together a collection of Jupyter notebooks aimed
at teaching people who want to use Qiskit for writing quantum computing
programs, and executing them on one of several backends (online quantum
processors, online simulators, and local simulators). The online quantum
processors are the IBM Q devices.

For our community-contributed tutorials, please check out the
qiskit-community-tutorials
repository.

Installation

The notebooks for these tutorials can be viewed here on GitHub...but for the
full experience, you'll want to interact with them! The easiest way to do this
is by logging into the IBM Quantum
Experience
, which lets you use Jupyter
notebooks, including these tutorials, via the web.

Please refer to this installation guide for setting up Qiskit and
the tutorials on your own machine (this is the recommended way).

Contents

We've collected a core reference set of notebooks in this section outlining the
features of Qiskit. We will be keeping them up to date with the latest Qiskit
version.

  • Basics is for those who are getting started.
  • Terra is for those who want to study circuits.
  • Aer is for those who want to simulate quantum circuits.
  • Ignis is for those who want to study noise.
  • Aqua is for those who want to develop applications on NISQ computers.

To go through the Qiskit examples, load up the
start_here.ipynb notebook and start seeing how
Qiskit works.

Contribution Guidelines

If you'd like to contribute to Qiskit IQX Tutorials, please take a look at our
contribution guidelines. This project adheres to
Qiskit's code of conduct. By participating, you
are expect to uphold to this code.

We use GitHub issues for
tracking requests and bugs. Please use our Slack
for discussion and simple questions. To join our Slack community, use the
link.
For questions that are more suited for a forum, we use the Qiskit tag in the
Stack
Exchange
.

Authors and Citation

Qiskit IQX Tutorials is the work of many
people
who
contribute to the project at different levels. If you use Qiskit, please cite
as per the included BibTeX
file
.

License

Apache License 2.0

概覽

名稱與所有者Qiskit/qiskit-tutorials
主編程語言Jupyter Notebook
編程語言Jupyter Notebook (語言數: 2)
平台
許可證Apache License 2.0
發布數7
最新版本名稱v0.23.x (發布於 )
第一版名稱v0.7.0 (發布於 )
創建於2017-08-03 14:55:29
推送於2023-08-21 20:29:53
最后一次提交2023-08-21 13:29:52
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