quantumlib/Qualtran
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
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Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
Python framework for designing & analyzing superconducting quantum chips. Lite-by-default, headless-friendly, EDA-grade.
An open-source Python framework for hybrid quantum-classical machine learning.
A fast stabilizer circuit library.
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
A Python library for quantum programming using Quil.
Microsoft Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Source code for the TKET quantum compiler, Python bindings and utilities
Quantum computing simulator in Go
Quantum computing simulation
A hardware-agnostic SDK for optimization problems: define a problem once, then lower it to any quantum or classical solver
The quip network mining stack. This includes a coordinator and links all of the official quip network miners.
A python library for quantum information and many-body calculations including tensor networks.
QuTiP: Quantum Toolbox in Python
Silq quantum programming language type checker, compiler, and experimental interpreter.
Aer is a high performance simulator for quantum circuits that includes noise models
MQT Bench - A Tool for Benchmarking Quantum Software Tools
Fast C++ and Python library for state-vector simulation of quantum circuits.
Tiny post-quantum encryption for sensitive data. Write-only by design. ML-KEM-768 + X25519 + AES-256-GCM. Please break it.
Powerful, automated analysis and design of quantum microwave chips & devices [Energy-Participation Ratio and more]
A full-stack framework for quantum computing.
Comprehensive, GPU accelerated framework for developing universal virtual quantum processors
Python package for compiling and analyzing quantum algorithms to simulate electronic structures.
Variational Quantum Circuit Simulator for Quantum Computation Research
Python modules for quantum computing applications and experiments using Cirq. Research using Cirq!
Qrisp - The next generation of quantum algorithm development
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