Completed in the Honors Accelerated Calculus series at UW, taken with Ebru Bekyel.
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Updated
Jun 16, 2023
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.
Completed in the Honors Accelerated Calculus series at UW, taken with Ebru Bekyel.
Quantum Circuit Debugger - Extension for IBM Qiskit
My solutions for IBM Quantum Challenge Spring 2023
Эксперименты с алгоритмом Шора
Tutorial pdfs and Codes done in QIQT 2022
Some basic quantum computing circuits that can be run on IBM quantum computers. Written in quantum assembly (OpenQASM2.0)
This repository is dedicated to the interesting things I learned in the Womanium 2023 Summer Quantum Program.
A practical introduction to quantum computing: from qubits to quantum machine learning and beyond
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.
Qiskit Global Summer School 2022: Quantum Simulations by IBM Quantum. Lab assignments completed during the 2-week program.
String search problem on quantum computer
Demonstrative Jupyter Notebook for evaluating inner products (braket) between two quantum states using Quantum Hardware (IBM Qiskit).
Implementing quantum algorithms with help from qiskit by IBM
Repository of the code that was used in the Quantum Project course
My attempts for IBM Quantum Spring challenge 2023. The labs were dedicated to dynamic circuits and its utilities in quantum error corrections. I has the oppertunity to run my quantum circuiits on 127-qubit ibm qauntum eagle processor.
The repository contains Jupyter notebooks with detailed description of basic quantum protocols and algorithms, the math, circuits and quantum programs using Python.
An introduction to generating random numbers from quantum computing.
Created by Richard Feynman and Yuri Manin