Repository of the code that was used in the Quantum Project course
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Updated
Jan 28, 2023 - Jupyter Notebook
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.
Repository of the code that was used in the Quantum Project course
Some basic quantum computing circuits that can be run on IBM quantum computers. Written in quantum assembly (OpenQASM2.0)
A simple Python 3 script for introducing new users to quantum programming in the PennyLane environment. This code was developed as an introductory exercise during the "2023-11-28 Using PennyLane on Pawsey’s Setonix supercomputer" webinar tutorial.
Эксперименты с алгоритмом Шора
The repository contains Jupyter notebooks with detailed description of basic quantum protocols and algorithms, the math, circuits and quantum programs using Python.
Quantum Circuit Debugger - Extension for IBM Qiskit
Collection of Quantum Computing, Machine learning Basics, Algorithms, Study Materials, Projects
Quantum Computing
Teleportation does not work the way the science fiction genre depicts it, but quantum teleportation is real and it works.
Automatically writing of quantum code using genetic programming
A Matlab code for computing Clebsch-Gordan Coefficients
Quantum - Custom Commands for your server!
Magmango is an open source package for first-principles magnetic property predictions of dilute and bulk magnetic systems.
Learning about quantum algorithms for hacktoberfest
C++ code for simulating quantum Zeno paradox with spin in field.
Created by Richard Feynman and Yuri Manin