Quantum computing is a field of computing that uses quantum phenomena such as superposition and entanglement to perform operations on data. It is a rapidly growing field with potential applications in fields such as cryptography, chemistry, and optimization. Quantum computers can solve certain problems much faster than classical computers. Various programming languages such as Q#, Python and C++ can be used to write quantum algorithms to be run on quantum computers. The development of quantum computers is an active area of research and engineering.
The quip network mining stack. This includes a coordinator and links all of the official quip network miners.
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.
An open-source Python framework for hybrid quantum-classical machine learning.
QuTiP: Quantum Toolbox in Python
Python package for compiling and analyzing quantum algorithms to simulate electronic structures.
⚛️ A module for solving and visualizing the Schrödinger equation.
A network-layer simulator for the quantum network investigation
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
Machine learning algorithms for many-body quantum systems
A python library for quantum information and many-body calculations including tensor networks.
A Benchmark of Text Classification in PyTorch
High Performance Tools for Quantum Computing
Quantum Computer Library for Everyone
Quantum algorithms built using pyQuil.
A Python SDK for interacting with quantum devices on Amazon Braket
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
A full-stack framework for quantum computing.
Created by Richard Feynman and Yuri Manin