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.
Tutorials on Cryptography, ranging from Classical Cryptography (Pre-Quantum and Post-Quantum) to Quantum Cryptography.
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.
Code developed for my master's thesis on continuous quantum measurements.
Quantum Circuit Debugger - Extension for IBM Qiskit
A simple simulator for performing qubit operations and executing circuits.
A project dedicated to my personal learnings using the Quantum Computing toolkit 'Qiskit'
A tiny quantum optimal control library.
Simulating observations of quantum spin with Python and Arduino accelerometer
Quantum Computing Algorithms Implemented on IBM's 5-Qubit IBMqx4 Hardware. QASM Coding Architecture Built on Python.
C Implementation of Quantum Simplified-DES
This is a repository linked with my Nanoscience and Nanotechnology Bachelor's degree Thesis. You can find the Thesis Dissertation attached.
Pythonic, object oriented approach at simulating quantum systems. Classes for Operators and States are defined. The behavior of `Operators` on `States` are defined via Python functions, in contrast to defining them via a matrix. Reconstruction of a matrix representation of an operator knowing only how it will change a state is possible and imple…
A Simulator which can perform quantum circuits on Classical Computer
Created by Richard Feynman and Yuri Manin