Example code to create a Grover oracle to solve binary MQ

implementation of a 2D quantum perceptron

C Implementation of Quantum Simplified-DES

A quantum search that can search for a value or element in an unsorted set in O(√N) as opposed to classical search algorithms that at worse will find an element in O(N) time.

In this Repository, I am implementing, discussing Grover's Algorithm.

👨‍🦰 Large Scale Active Social Engineering Defense (ASED): Multimedia and Social Engineering

Implementing the Grover and Deutsch_Jozsa quantum search algorithms, best in world!

Réponse quantique au blog de Balise << Le problème Sat >>

Quantum version of the classical Nim game. An automatic opponent allows to game to not be as easy as it seems.

Puzzle game using quantum computer and Grover algorithm.

📲 Bucket - The Ultimate Todo App, Built with Flutter & Firebase! 📝🚀 Stay organized and boost your productivity with Bucket! Developed using Flutter and Firebase, Bucket helps you manage your tasks with ease and efficiency.

A modular quantum computing library in Python featuring QAOA, Grover, HHL, and VQC — built on Qiskit, with future plans to become a QPU-agnostic, from-scratch quantum SDK.

Assessing LLMs—AAM, DNABERT, DNABERT-2, GROVER—to improve the prediction of COVID-19 status ("Positive" or "Not detected") using microbiome data

Demonstration of resilience in post-quantum cryptography using SPHINCS+. This project combines SPHINCS+ digital signatures with quantum circuit simulations built using Qiskit. A REST API is included to enable automated and remote execution of tests, making the framework suitable for integration.

Grover's Algorithm (Quantum Search Algorithm) for Unstructured Search that Finds with a High Probability Given a Unique Input

A minimalistic key-value database that uses quantum search (Grover's algorithm) via Qiskit and IBM Quantum. Java + Python.

Python (.py) and Jupyter notebook (.ipynb) implementations of Grover's Algorithm aka Quantum Search Algorithm for n qubits and m targets.

QML Benchmarks is a research-driven repository implementing and benchmarking fundamental quantum algorithms and quantum machine learning models including QCNN, QFT, Grover, Shor, HHL, VQE, and QAOA. The project analyzes algorithm scalability, optimization behavior, and robustness under realistic NISQ noise simulations through structured experiments

Estimate the amplitude a = sin²(π/8) ≈ 0.146 using 3 precision qubits via quantum phase estimation.

Quadratic speedup for unstructured search: finds |11⟩ among 4 basis states with one Grover iteration.