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This repository was archived by the owner on Aug 21, 2023. It is now read-only.
Welcome to the [Qiskit](https://www.qiskit.org/) tutorials!
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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](https://quantumexperience.ng.bluemix.net/qx/devices) devices.
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## Installation and Setup
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## Installation
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The notebooks for these tutorials can be viewed here on GitHub. But for the full experience, you'll want to interact with them!
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The easiest way to do this is using [the Binder image](https://mybinder.org/v2/gh/Qiskit/qiskit-tutorial/master?filepath=index.ipynb), which lets you use the notebooks via the web. This means that you don't need to download or install anything, but it also means that you should not insert any private information into the notebooks (such as your API key). We recommend as pointed out in [issue #231](https://github.com/Qiskit/qiskit-tutorial/issues/231) that after you are done using mybinder that you regenerate your token.
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Please refer to this [installation guide](INSTALL.md) for setting up Qiskit and the tutorials on your own machine (this is the recommended way).
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***
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## Contents
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We have organized the tutorials into two sections:
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.
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-[Basics](qiskit/basics) is meant for those who are getting started.
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-[Terra](qiskit/terra) is meant for those who want to study circuits.
@@ -35,6 +28,7 @@ We've collected a core reference set of notebooks in this section outlining the
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-[Jupyter](qiskit/jupyter) is meant to highlight some cool Juypter features.
Teaching quantum computing and qiskit has many different paths of learning. We love our community, and we love the contributions so keep them coming. Because Qiskit is changing so much, at the moment we cant keep this updated, but there are some great notebooks in here. See:
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-[Hello, Quantum World](community/hello_world/) learn from the community how to write your first quantum program.
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-[Quantum Games](community/games/), learn quantum computing by having fun.
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To go through the tutorials, load up the [index.ipynb](index.ipynb) notebook and start learning.
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***
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## Contribution guidelines
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## Contributing
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If you would like to contribute to the tutorials, there are a number of ways to get involved:
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If you'd like to contribute to Qiskit Tutorials, please take a look at our
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[contribution guidelines](.github/CONTRIBUTING.rst). This project adheres to Qiskit's [code of conduct](.github/CODE_OF_CONDUCT.rst). By participating, you are expect to uphold to this code.
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***Issues**: Issues can be reported with GitHub [issue reporting](https://github.com/Qiskit/qiskit-tutorial/issues) for this repository. Select `New issue`, fill in a descriptive title, and provide as much detail as is needed for the issue to be reproduced.
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***Notebooks**: If you would like to contribute a notebook, please create a [fork](https://help.github.com/articles/fork-a-repo/) of the repository from the `master` branch and create a [pull request](https://help.github.com/articles/about-pull-requests/) for your change. Note that new notebooks should be placed in the relevant part of the [Community](community/) section.
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We use [GitHub issues](https://github.com/Qiskit/qiskit-tutorials/issues) for tracking requests and bugs. Please use our [slack](https://qiskit.slack.com) for discussion and simple questions. To join our Slack community use the [link](https://join.slack.com/t/qiskit/shared_invite/enQtNDc2NjUzMjE4Mzc0LTMwZmE0YTM4ZThiNGJmODkzN2Y2NTNlMDIwYWNjYzA2ZmM1YTRlZGQ3OGM0NjcwMjZkZGE0MTA4MGQ1ZTVmYzk). For questions that are more suited for a forum we use the Qiskit tag in the [Stack Overflow](https://stackoverflow.com/questions/tagged/qiskit).
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## Contributors
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These tutorials are the work of our [Qiskitters](https://github.com/Qiskit/qiskit-tutorial/graphs/contributors) who contribute to the project at different levels.
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## Authors
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Qiskit Terra is the work of [many people](https://github.com/Qiskit/qiskit-tutorials/graphs/contributors) who contribute
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to the project at different levels.
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## License
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This project is licensed under the Apache License 2.0 - see the [LICENSE](https://github.com/QISKit/qiskit-tutorial/blob/master/LICENSE) file for details.
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