All Projects → qiskit-community → Qiskit Community Tutorials

qiskit-community / Qiskit Community Tutorials

Licence: apache-2.0
A collection of Jupyter notebooks developed by the community showing how to use Qiskit

Projects that are alternatives of or similar to Qiskit Community Tutorials

Pydataroad
open source for wechat-official-account (ID: PyDataLab)
Stars: ✭ 302 (+1.34%)
Mutual labels:  jupyter-notebook
Text similarity
Text Similarity
Stars: ✭ 301 (+1.01%)
Mutual labels:  jupyter-notebook
Zat
Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark
Stars: ✭ 303 (+1.68%)
Mutual labels:  jupyter-notebook
Python Seminar
Python for Data Science (Seminar Course at UC Berkeley; AY 250)
Stars: ✭ 302 (+1.34%)
Mutual labels:  jupyter-notebook
Adaptiveattention
Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"
Stars: ✭ 303 (+1.68%)
Mutual labels:  jupyter-notebook
120 Ds Interview Questions
My Answer to 120 Data Science Interview Questions
Stars: ✭ 304 (+2.01%)
Mutual labels:  jupyter-notebook
Scikit Learn Videos
Jupyter notebooks from the scikit-learn video series
Stars: ✭ 3,254 (+991.95%)
Mutual labels:  jupyter-notebook
Bayesmadesimple
Code for a tutorial on Bayesian Statistics by Allen Downey.
Stars: ✭ 303 (+1.68%)
Mutual labels:  jupyter-notebook
Minibook 2nd Code
Code of the IPython Minibook, 2nd edition (2015)
Stars: ✭ 303 (+1.68%)
Mutual labels:  jupyter-notebook
Pytorch exercises
Stars: ✭ 304 (+2.01%)
Mutual labels:  jupyter-notebook
Handwritten Text Recognition For Apache Mxnet
This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.
Stars: ✭ 300 (+0.67%)
Mutual labels:  jupyter-notebook
Attention is all you need
Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.
Stars: ✭ 303 (+1.68%)
Mutual labels:  jupyter-notebook
Baby Steps Of Rl Ja
Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード
Stars: ✭ 302 (+1.34%)
Mutual labels:  jupyter-notebook
Pyspark Tutorials
Code snippets and tutorials for working with social science data in PySpark
Stars: ✭ 300 (+0.67%)
Mutual labels:  jupyter-notebook
Cartola
Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-20. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-19.
Stars: ✭ 304 (+2.01%)
Mutual labels:  jupyter-notebook
Playing Card Detection
Stars: ✭ 302 (+1.34%)
Mutual labels:  jupyter-notebook
Musicautobot
Using deep learning to generate music in MIDI format.
Stars: ✭ 304 (+2.01%)
Mutual labels:  jupyter-notebook
Tensorflow 2.x Yolov3
YOLOv3 implementation in TensorFlow 2.3.1
Stars: ✭ 300 (+0.67%)
Mutual labels:  jupyter-notebook
Randomfun
Notebooks and various random fun
Stars: ✭ 304 (+2.01%)
Mutual labels:  jupyter-notebook
Opensleep
platform for sleep hacking and research
Stars: ✭ 304 (+2.01%)
Mutual labels:  jupyter-notebook

Qiskit Community Tutorials

License

Welcome to the Qiskit community tutorials!

In this repository, we've put together a collection of awesome community-contributed Jupyter notebooks that leverage the features of Qiskit in education and applications. Feel free to navigate this repository, to Fork this repo, or to open the Binder image.

Contents

1 Hello, Quantum World with Qiskit

Learn from the community how to write your first quantum program.

2 Quantum Games with Qiskit

Learn quantum computing by having fun. How is there a better way!

3 Quantum Information Science with Qiskit Terra

Learn about and how to program quantum circuits using Qiskit Terra.

4 Textbook Quantum Algorithms with Qiskit Terra

Learn about textbook quantum algorithms, like Deutsch-Jozsa, Grover, and Shor using Qiskit Terra.

5 Developing Quantum Applications with Qiskit Aqua

Learn how to develop the fundamentals of quantum applications using Qiskit Aqua

6 Awards

Learn from the great contributions to the IBM Q Awards

Contribution Guidelines

If you'd like to contribute to Qiskit Community 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 Community 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

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].