Abstract: The Elevator Dispatch Problem (EDP), a classical conundrum in computer optimization, continues to evolve with algorithmic iterations. In this study, leveraging the fuzzy neural network (FNN) ...

Abstract: Iterative gradient-based optimization algorithms are widely used to solve difficult or large-scale optimization problems. There are many algorithms to choose from, such as gradient descent ...

In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...

Introduction: This study presents a modified version of Particle Swarm Optimization (PSO) using an all-optical computational update mechanism. The primary innovation and objective of this ...