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Updated
Jun 1, 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.
Data of my robots from my website and my Watchy.
talib extension for formula computation in pure cython in your custom strategies.
Implementation of quantum search algorithm to search item index in an arbitrary array of numbers
Курс по квантовому машинному обучению
pytket-phir is a circuit analyzer and translator from pytket to PHIR.
Symbolic quantum simulation framework in Wolfram Language for quantum information systems, quantum many-body systems, and quantum spin systems.
A library for machine learning and quantum programming based on pyRiemann and Qiskit projects
MQT QCEC - A tool for Quantum Circuit Equivalence Checking
lambdaQ - a functional quantum programming language.
Systems, Web, Mobile, DevOps, Blockchain, Cyber, AI, Quantum etc
MQT DDSIM - A quantum circuit simulator based on decision diagrams written in C++
MQT QMAP - A tool for Quantum Circuit Mapping written in C++
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.
qiskit
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
A dark web analysis tool.
A Python SDK for interacting with quantum devices on Amazon Braket
MQT QECC - Tools for Quantum Error Correcting Codes
QuEra's Neutral Atom SDK for Analog QPUs
Created by Richard Feynman and Yuri Manin