Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
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Updated
May 12, 2024 - Python
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.
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Microsoft Quantum Development Kit Samples
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
QuTiP: Quantum Toolbox in Python
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
A curated list of awesome quantum computing learning and developing resources.
Companion site for the textbook Quantum Computing: An Applied Approach
Powerful, automated analysis and design of quantum microwave chips & devices [Energy-Participation Ratio and more]
Quantum Hardware Design. Open-source project for engineers and scientists to design superconducting quantum devices with ease.
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
Q# libraries for the Quantum Development Kit
Q# compiler, command line tool, and Q# language server
Machine learning algorithms for many-body quantum systems
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
Quantum algorithms built using pyQuil.
A Benchmark of Text Classification in PyTorch
QHack—The one-of-a-kind quantum computing hackathon
Modern C++ quantum computing library
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Created by Richard Feynman and Yuri Manin