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

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

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

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.

An embedded, functional quantum programming language that allows for scalable and programmable quantum circuit generation.

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.

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

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

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

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.

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

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