A collection of Jupyter notebooks showing how to use the Qiskit SDK
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Updated
Aug 21, 2023 - Jupyter Notebook
Quantum computing is a field of computing that uses quantum phenomena such as superposition and entanglement to perform operations on data. It is a rapidly growing field with potential applications in fields such as cryptography, chemistry, and optimization. Quantum computers can solve certain problems much faster than classical computers. Various programming languages such as Q#, Python and C++ can be used to write quantum algorithms to be run on quantum computers. The development of quantum computers is an active area of research and engineering.
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Example notebooks that show how to apply quantum computing with Amazon Braket.
Jupyter Notebooks that demonstrate SymPy's symbolic quantum mechanics package.
User manual and example notebooks for the pytket quantum computing toolkit
Use a quantum computer to decode cellphone signals
Interactive quantum programming with Forest & Jupyter.
A set of jupyter notebooks
A course on Linear Algebra using Python in Jupyter notebooks
Binder repository of interactive tutorial notebooks for pyQuil and Forest.
Repository of code notebooks for tutorials at IEEE Quantum Week (QCE20) https://qce.quantum.ieee.org/tutorials/
This repository contains the notebooks, slides, and miscellaneous for Quantum Computing 2021
Google Collaboratory notebooks for the SDSS 2020 workshop on "Introduction to programming quantum computers"
A hands-on approach to quantum computing: Jupyter notebooks discussing quantum computing in Python using Qiskit.
Notebooks sobre aprendizaje de computación cuántica
Slide decks and Jupyter notebooks for training on Rigetti's quantum software stack at the Creative Destruction Lab 2018.
Binder repository of supplementary interactive notebooks for the QCS paper.
Notebooks demonstrating how to use qBraid Lab to streamline quantum workflows, connect to quantum hardware, and leverage GPU-enabled scalable compute for hybrid algorithms.
📚 A series of jupyter notebooks dedicated to introduction to Quantum Computing
Example notebooks performing emulation of cat qubits quantum processors
Tutorial notebooks and example scripts made with Tangelo. Any Tangelo user can suggest content and showcase their work, either by pushing on this repo or linking their work / project :)
Created by Richard Feynman and Yuri Manin