From the 1 of 10 linked papers with an AI index.
10 papers
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
The paper presents a hybrid quantum‑classical pipeline (qReduMIS) that uses QAOA measurements to guide reductions for solving portfolio diversification formulated as a Maximum Inde…
qReduMIS: A Quantum-Informed Reduction Algorithm for the Maximum Independent Set Problem
Martin J. A. Schuetz, Romina Yalovetzky, Ruben S. Andrist +8
We propose and implement a quantum-informed reduction algorithm for the maximum independent set problem that integrates classical kernelization techniques with information extracte…
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…
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…
A Random-Key Optimizer for Combinatorial Optimization
Antonio A. Chaves, Mauricio G. C. Resende, Martin J. A. Schuetz +4
This paper introduces the Random-Key Optimizer (RKO), a versatile and efficient stochastic local search method tailored for combinatorial optimization problems. Using the random-ke…
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…