-
Updated
Jan 27, 2023 - Jupyter Notebook
quantum
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.
Here are 1,213 public repositories matching this topic...
Repository of the code that was used in the Quantum Project course
-
Updated
Jan 28, 2023 - Jupyter Notebook
A practical introduction to quantum computing: from qubits to quantum machine learning and beyond
-
Updated
Aug 20, 2022 - Jupyter Notebook
Some basic quantum computing circuits that can be run on IBM quantum computers. Written in quantum assembly (OpenQASM2.0)
-
Updated
Aug 24, 2023 - OpenQASM
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.
-
Updated
Dec 12, 2023 - Python
Эксперименты с алгоритмом Шора
-
Updated
Apr 6, 2023 - TeX
The repository contains Jupyter notebooks with detailed description of basic quantum protocols and algorithms, the math, circuits and quantum programs using Python.
-
Updated
Nov 27, 2022 - Jupyter Notebook
GPT that is powered by quantum processes.
-
Updated
Jul 16, 2023
Quantum Circuit Debugger - Extension for IBM Qiskit
-
Updated
Jul 6, 2023 - Jupyter Notebook
Simulating observations of quantum spin with Python and Arduino accelerometer
-
Updated
Feb 8, 2018 - C++
C Implementation of Quantum Simplified-DES
-
Updated
Nov 29, 2019 - C
Implementation of different Quantum circuits and algorithms using QSharp.
-
Updated
Jan 1, 2022 - Q#
Quantum experiments exploring the improvement of Shor's algorithm using various languages and libraries such as Q#, Qiskit, QASM.
-
Updated
Nov 30, 2021 - Jupyter Notebook
Implementation of the Stochastic Reconfiguration algorithm on the GPU using C++/CUDA.
-
Updated
Jan 6, 2022 - C++
Quantum computing bootcamp with Qiskit
-
Updated
Nov 30, 2019 - Jupyter Notebook
Factored 21 and 51 using two optimal techniques of Shor's Algorithm, requiring far fewer qubits than the standard approach.
-
Updated
Jul 20, 2022 - Jupyter Notebook
Моделирования по физике
-
Updated
Jun 26, 2022 - Python
Solutions to the QHack2022 Quantum Computing Hackathon
-
Updated
Apr 2, 2022 - Python
Created by Richard Feynman and Yuri Manin
- Followers
- 292 followers
- Organization
- qsharp-community
- Wikipedia
- Wikipedia