Simulators

Simulate quantum circuits, state-vectors, and density matrices with high performance. Utilizes multithreading, GPUs, and distribution. Stand-alone, requires no installation.

Solve time-dependent open quantum systems efficiently in parallel. Supports general systems like Jaynes-Cummings and spin-boson models, plus quantum information features.

Accelerate quantum circuit simulation using a fast, lightweight, modular library written in Assembly. Supports x86 and ARM64 architectures for high-performance computation.

Quantum Computing library leveraging graph building to build efficient quantum circuit simulations.

Library to simulate a gate based quantum computer and run algorithms. Only for quriust people.

Achieve high-performance quantum circuit simulation on distributed systems. Optimized for multi-core and multi-node architectures using MPI for scalable state vector representation.

Simulate Quil programs efficiently with a high-performance, featureful virtual machine. Model quantum computer characteristics and deploy as a binary or server.

Provides pure, safe, and standard Rust bindings for the high-performance Qrack quantum simulator. Leverage Qrack's OpenCL acceleration within Rust applications.

Access a fast C++11/OpenCL quantum simulator from Python. Supports OpenCL acceleration, zero-copy mode, and integration with PyZX for circuit optimization.

Framework for full-stack quantum computing development, via high performance and fundamentally optimized simulation. The intent of "Qrack" is to provide maximum performance for the simulation of an ideal, virtually error-free quantum computer, across the broadest possible set of hardware and operating systems.

A tool for classical quantum circuit simulation developed as part of the Munich Quantum Toolkit (MQT). It builds upon MQT Core, which forms the backbone of the MQT.

MQT DDVis - An installation-free web-tool which visualizes quantum decision diagrams and allows to explore their behavior when used in design tasks such as simulation, synthesis, or verification.

Simulate arbitrary quantum processes with a modern C++ template library. Designed for high performance, portability, and ease of use with minimal dependencies.

The qutip-qip package, QuTiP quantum information processing, aims at providing basic tools for quantum computing simulation both for simple quantum algorithm design and for experimental realization.

Simulate open quantum systems dynamics efficiently. Supports various Hamiltonians, time-dependence, and applications in quantum optics, superconducting circuits, and more.

Run your hybrid classical-quantum algorithms on our hardware backends and experience new possibilities in hybrid quantum computing.

Simulate and analyze quantum stabilizer circuits at high speed for quantum error correction. Generate detector error models to configure decoders.

Design, simulate, and optimize fault-tolerant quantum computer architectures. Model over 20 hardware imperfections to accelerate logical qubit experiments.

Design, simulate, and execute quantum circuits directly in your web browser. Supports synthesis, transpilation, hybrid algorithms, and multiple hardware platforms.

Simulate quantum circuits rapidly using high-performance state-vector methods on CPU and GPU hardware.