Terra provides the foundations for Qiskit. It allows the user to write quantum circuits easily, and takes care of the constraints of real hardware.

Microsoft Quantum Development Kit Samples

Programming exercises for learning Q# and quantum computing

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

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

A collection of Jupyter notebooks showing how to use Qiskit that is synced with the IBM Q Experience

A Python library for quantum programming using Quil.

The electronic structure package for quantum computers.

QuTiP: Quantum Toolbox in Python

A Multi-Qubit Ideal Quantum Computer Simulator

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

A list of resources in different fields of Computer Science (multiple languages)

ProjectQ: An open source software framework for quantum computing

This is an implementation of IBM's Quantum Experience in simulation; a 5-qubit quantum computer with a limited set of gates. Please cite me if you end up using this academically.

This repository and the qiskit-api-py package are deprecated, and no longer supported. A Python library for the Quantum Experience API

Some awesome AI related books and pdfs for learning and downloading

Qiskit is an open-source framework for working with noisy quantum computers at the level of pulses, circuits, and algorithms.

A drag-and-drop quantum circuit simulator that runs in your browser. A toy for exploring and understanding small quantum circuits.

Gate and operation specification for quantum circuits

High Performance Tools for Quantum Computing

PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations

Quantum macro assembler for D-Wave systems

Curated list of open-source quantum software projects.

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

Quantum algorithms built using pyQuil.

Aqua provides a library and tools to build applications for noisy quantum computers.

Extensible, Efficient Quantum Algorithm Design for Humans.

The @rigetti optimizing Quil compiler.

A leading-edge control system for quantum information experiments

Quantum circuits for simulations of quantum chemistry and materials.