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
A practical introduction to quantum computing: from qubits to quantum machine learning and beyond
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.
GPT that is powered by quantum processes.
Quantum Circuit Debugger - Extension for IBM Qiskit
Simulating observations of quantum spin with Python and Arduino accelerometer
C Implementation of Quantum Simplified-DES
Implementation of different Quantum circuits and algorithms using QSharp.
Quantum experiments exploring the improvement of Shor's algorithm using various languages and libraries such as Q#, Qiskit, QASM.
Implementation of the Stochastic Reconfiguration algorithm on the GPU using C++/CUDA.
Quantum computing bootcamp with Qiskit
Factored 21 and 51 using two optimal techniques of Shor's Algorithm, requiring far fewer qubits than the standard approach.
Моделирования по физике
Solutions to the QHack2022 Quantum Computing Hackathon
Created by Richard Feynman and Yuri Manin