Tutorials and programming exercises for learning Q# and quantum computing
-
Updated
Aug 21, 2024 - Jupyter Notebook
Tutorials and programming exercises for learning Q# and quantum computing
A Python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
An open-source Python framework for hybrid quantum-classical machine learning.
The electronic structure package for quantum computers.
A Python library for quantum programming using Quil.
⚛️ A module for solving and visualizing the Schrödinger equation.
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
Repository containing monthly challenges in the field of quantum computing.
Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
A fast stabilizer circuit library.
Research using Cirq!
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
A curated list of Q# code and resources.
Qiskit Textbook (beta)
Specification of Quil: A Practical Quantum Instruction Set Architecture
OpenFermion plugin to interface with the electronic structure package PySCF.
OpenFermion plugin to interface with the electronic structure package Psi4.
A demo set of programming assignments developed using Q# and Azure Quantum Development Kit
A curated list of projects developed using the Forest quantum programming environment.
Add a description, image, and links to the quantum-programming topic page so that developers can more easily learn about it.
To associate your repository with the quantum-programming topic, visit your repo's landing page and select "manage topics."