Tutorials and programming exercises for learning Q# and quantum computing
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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.
A fast stabilizer circuit library.
Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
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.
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