A framework for quantum computing
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Updated
Jun 3, 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.
A framework for quantum computing
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Machine learning algorithms for many-body quantum systems
Quantum Random Rust Mnemonic (QR2M)
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Fast and simple way to electronic structure methods.
Composable Tensor Network library in Julia
A platform-agnostic quantum runtime framework
A quantum version of KNN algorithm
Config files for my GitHub profile.
A python-to-quantum compiler
This is the SORA L1 blockchain core SORA-QAI(SorachanCoin-Core). In the latest version (v3.67.14 and later), in addition to the traditional verification by ECDSA, the private key signing has become multisig with a Quantum and AI resistance algorithm.
Docker image for quantum laboratory
A Quantum Computing Machine written in Mojo
A collection of free educational materials, most of which are interactive. You may find inspiration for measurement techniques here. They may improve your comprehension of STEM topics & even writing.
|toqito> (Theory of Quantum Information Toolkit) in Python 🐍
Learn Quantum Machine Learning using pennylane framework
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Created by Richard Feynman and Yuri Manin