|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Qiskit Textbook||847||6 months ago||apache-2.0||Jupyter Notebook|
|A university quantum algorithms/computation course supplement based on Qiskit|
|Teach Me Quantum||89||4 years ago||1||Jupyter Notebook|
|⚛ 10 week Practical Course on Quantum Information Science and Quantum Computing- with Qiskit and IBMQX|
|Oqs Jupyterbook||10||6 months ago||4||cc-by-sa-4.0||Jupyter Notebook|
|Course on Open Quantum Systems with Qiskit|
|Learning Quantum Computing Course Old||2||4 years ago||mit||Jupyter Notebook|
|⚛️ 💥 ⚙️ A project based in Quantum Computing. This project was built using IBM Q Experience/QisKit (Jupyter Notebook/Python Environment Framework from IBM), PyQuil (Python Environment Framework from Rigetti Computing/Rigetti Forest SDK), ProjectQ (Python Environment Open-Source Framework from ETH Zurich), Q# (Q Sharp Programming Language from Microsoft Quantum SDK) and TeX (LaTeX). The project will present some kind of Introductory Course of Quantum Physics/Mechanics and Quantum Computing, and also, some basic tutorials, exercises and papers about it.|
|Quantummachinelearning||2||3 years ago||Jupyter Notebook|
This is the repository for the interactive open-source Learn Quantum Computation using Qiskit textbook. The textbook is intended for use as a university quantum algorithms course supplement as well as a guide for self-learners who are interested in learning quantum programming.
The Jupyter notebooks corresponding to each section of the textbook can be found in the
content folder. The code in these notebooks will constantly be updated to the latest version of Qiskit.
The notebooks are compiled into html and exported to the website.
The Qiskit Textbook provides some tools and widgets specific to the Textbook. This is not part of Qiskit and is available through the
qiskit_textbook package. The quickest way to install this with pip and Git is through the command:
pip install git+https://github.com/qiskit-community/qiskit-textbook.git#subdirectory=qiskit-textbook-src
Or, if you prefer using pipenv:
pipenv install "git+https://github.com/qiskit-community/qiskit-textbook.git#subdirectory=qiskit-textbook-src&egg=qiskit_textbook"
Alternatively, you can download the folder
qiskit-textbook-src and run:
pip install ./qiskit-textbook-src
from the directory that contains this folder.
If you'd like to contribute to Qiskit Textbook, please take a look at our contributors guide.
The materials and associated source code of this open-source textbook are licensed under Apache License 2.0.