Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
Qiskit is made up of elements that work together to enable quantum computing. This is a simple meta-package to install the elements of Qiskit altogether.
The best way of installing qiskit is by using pip:
$ pip install qiskitSee install Qiskit for detailed instructions, how to use virtual environments, and build from source standalone versions of the individual Qiskit elements and components.
The Qiskit project is made up of many components that all serve a particular purpose. This repository contains a meta-package that will install the following components:
| Build | Version | Contribute |
|---|---|---|
| Qiskit Terra |  |
 |
| Qiskit Aer |  |
 |
These components are installed as part of the metapackage for the time being, but are deprecated (or will be deprecated in the near future) and will be removed in a future release.
| Build | Version | Contribute |
|---|---|---|
| Qiskit IBM Quantum Provider |  |
 |
These components are part of the Qiskit ecosystem but are built on top of
qiskit and are not installed by default with the meta-package. You can either
install them manually, as an optional extra
(ie pip install "qiskit[finance,experiments]"), or all together with
pip install "qiskit[all]".
| Build | Version | Contribute |
|---|---|---|
| Qiskit Optimization |  |
 |
| Qiskit Finance |  |
 |
| Qiskit Machine Learning |  |
 |
| Qiskit Nature |  |
 |
| Qiskit Experiments |  |
 |
If you are interested in using quantum services (i.e. using a real quantum computer, not a simulator) you can look at the Qiskit Partners program for partner organizations that have provider packages available for their offerings:
https://qiskit.org/documentation/partners/
If you'd like to contribute to Qiskit, please take a look at our contribution guidelines. This project adheres to Qiskit's code of conduct. By participating, you are expected to uphold this code.
We use GitHub issues for tracking requests and bugs. Please use our Slack for discussion and simple questions. For questions that are more suited for a forum we use the Qiskit tag in the Stack Exchange.
Now you're set up and ready to check out our Qiskit Tutorials repository.
Qiskit 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.