Engineers at Toshiba and MIRISE report embedding a quantum-inspired optimization system directly onto a mobile robot, ...

Toshiba Corporation and MIRISE Technologies have demonstrated the first deployment of a quantum‑inspired optimization ...

Two Japanese firms embed quantum-inspired tech in a robot, enabling faster real-time tracking and smarter movement.

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...

AI systems already decide how ambulances are routed, how supply chains operate and how autonomous drones plan their missions. Yet when those systems make a risky or counterintuitive choice, humans are ...

Abstract: Graph neural networks (GNNs) with unsupervised learning can provide high-quality approximate solutions to large-scale combinatorial optimization problems (COPs) with efficient time ...

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

This repository contains code relating to the paper "A Combinatorial Branch-and-Bound Algorithm for the Capacitated Facility Location Problem under Strict Customer Preferences" by Christina Büsing, ...

Abstract: Combinatorial optimization is a promising area for achieving quantum speedup. The quantum approximate optimization algorithm (QAOA) is designed to search for low-energy states of the Ising ...