This project implements Shor's Algorithm in IBM's Qiskit SDK in simulation, to link with the simulators from IBM Q Experience. It was done in the Quantum Information Project Course (AP3421) at TU Delft in the 2nd Quarter of 2018/2019. Authors: Rui Maia and Tiago Leão

My personal research on quantum mechanics and quantum computing.

The Quaspy library for Python for simulating and post-processing various quantum algorithms, including Shor's algorithms and Ekerå–Håstad's variations of Shor's algorithms.

Implementing and Experimenting Shor's Factorization Algorithm

An implementation of Shor's Quantum Algorithm with sequential QFT. (2*n + 3 qubits)

A pure Python implementation of Shor's quantum factorisation algorithm using classical matrix operations to simulate quantum circuits. This educational project demonstrates the core concepts of Shor's algorithm without requiring quantum computing frameworks like qiskit, making it accessible for learning how the quantum algorithm works step-by-step.

Complexity analysis of Qiskit’s implementation of Shor’s algorithm

GPU-accelerated quantum tensor network simulator with adaptive MPS

This project implements Shor's algorithm using Qiskit to perform quantum integer factorization. It demonstrates how quantum computing can efficiently factor large numbers by finding the period of modular exponentiation, with circuit visualization and practical examples.

The below code is for the following article:

Implementations of some quantum algorithms with Qiskit.

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