activity
20102026
most citedCombinatorial Optimization with Physics-Inspired Graph Neural Networks

208 citations · 968 across the 37 of their papers we have counts for

collaborators

37 papers

quant-ph2026

Quantum-Informed Portfolio Selection: An End-to-End Pipeline Validated on Trapped-Ion Hardware with Real Market Data

Romina Yalovetzky, Martin J. A. Schuetz, Zichang He +11

Portfolio diversification - a cornerstone of modern investment management - can be formulated as a Maximum Independent Set (MIS) problem on asset correlation graphs. Solving this p…

cs.LG2026

Crystal structure prediction using graph neural combinatorial optimization

Stavros Gerolymatos, J. Kyle Brubaker, Martin J. A. Schuetz +1

Crystalline materials are widely used in technological applications, yet their discovery remains a significant challenge. As their properties are driven by structure, crystal struc…

math.OC2026

Applying a Random-Key Optimizer on Mixed Integer Programs

Antonio A. Chaves, Mauricio G. C. Resende, Carise E. Schmidt +3

Mixed-Integer Programs (MIPs) are NP-hard optimization models that arise in a broad range of decision-making applications, including finance, logistics, energy systems, and network…

quant-ph2025

Quantum-Guided Cluster Algorithms for Combinatorial Optimization

Peter J. Eder, Aron Kerschbaumer, Jernej Rudi Finžgar +5

Finding the ground state of Ising spin glasses is notoriously difficult due to disorder and frustration. Often, this challenge is framed as a combinatorial optimization problem, fo…

math.OC2025

Modern Computational Methods in Reinsurance Optimization: From Simulated Annealing to Quantum Branch & Bound

George Woodman, Ruben S. Andrist, Thomas Häner +4

We propose and implement modern computational methods to enhance catastrophe excess-of-loss reinsurance contracts in practice. The underlying optimization problem involves attachme…

math.OC2025

Optimization of Next-Day Delivery Coverage using Constraint Programming and Random Key Optimizers

Kyle Brubaker, Kyle E. C. Booth, Martin J. A. Schuetz +4

We consider the logistics network of an e-commerce retailer, specifically the so-called "middle mile" network, that routes inventory from supply warehouses to distribution stations…