Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.

Abstract: In this paper, we present a novel approach to protein folding and drug discovery leveraging Grover’s algorithm. Our protein folding methodology focuses on accurately determining the phi and ...

This repository contains comprehensive implementations of Dijkstra's shortest path algorithm in three programming languages (C++, Python, and Dart) for the Computer Networks lab. The project includes ...