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An open-source quantum computing software development framework for leveraging today's quantum processors.

An open-source Python library for writing, manipulating, and optimizing quantum circuits and running them against quantum computers and simulators.

An open-source software framework for quantum computing that provides tools for implementing and running quantum algorithms.

A quantum programming language with a set of primitives for building quantum algorithms, developed by Microsoft.

D-Wave's suite of tools that provides access to and control over quantum processing units, with an emphasis on Ising model solvers and quantum annealing.

A quantum computing environment by Rigetti that offers access to quantum processors and simulators, focusing on hybrid quantum-classical algorithms.

A Python library for quantum programming using Quil (Quantum Instruction Language), designed to be used with Rigetti Computing's quantum computers.

A cross-platform Python library for differentiable programming of quantum computers, enabling the use of machine learning tools with quantum circuits.

A full-stack Python library for designing, simulating, and optimizing continuous-variable quantum optical circuits, developed by Xanadu.

A high-level quantum programming language that focuses on safety and ease of programming, providing intuitive abstractions for quantum computing.

An open-source framework that provides a layer of abstraction on top of existing quantum software for the formulation and solving of quantum algorithms.

Stands for Quantum Toolbox in Python, a software for simulating the dynamics of open quantum systems, widely used in research and education.

A high-performance Python/C++ library for simulating and analyzing quantum error correction, particularly for stabilizer circuits.

A fast quantum circuit simulator designed for simulating large and noisy quantum circuits, with interfaces in Python and C++.