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

A Python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

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.

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

⌚ Cron-like job scheduler for Elixir

QuTiP: Quantum Toolbox in Python

🦄 The Enterprise™ programming language

The electronic structure package for quantum computers.

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.

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

⚛️ A module for solving and visualizing the Schrödinger equation.

Companion site for the textbook Quantum Computing: An Applied Approach

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

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

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

A Benchmark of Text Classification in PyTorch

Machine learning algorithms for many-body quantum systems

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows