Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

Microsoft Quantum Development Kit Samples

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

A curated list of awesome quantum computing learning and developing resources.

⌚ Cron-like job scheduler for Elixir

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

🦄 The Enterprise™ programming language

QuTiP: Quantum Toolbox in Python

QPanda 2 is an open source quantum computing framework developed by OriginQC that can be used to build, run, and optimize quantum algorithms.

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.

Companion site for the textbook Quantum Computing: An Applied Approach

⚛️ A module for solving and visualizing the Schrödinger equation.

Q# compiler, command line tool, and Q# language server

Pythonic tool for running machine-learning/high performance/quantum-computing workflows in heterogeneous environments.

A Benchmark of Text Classification in PyTorch

Q# libraries for the Quantum Development Kit

Library for the numerical simulation of closed as well as open quantum systems.

Modern C++ quantum computing library

Machine learning algorithms for many-body quantum systems