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q-fin.RM2025

A New Application of Hoeffding's Inequality Can Give Traders Early Warning of Financial Regime Change

Daniel Egger, Jacob Vestal

Hoeffding's Inequality provides the maximum probability that a series of n draws from a bounded random variable differ from the variable's true expectation u by more than given tol…

quant-ph2025

Approximate Quadratization of High-Order Hamiltonians for Combinatorial Quantum Optimization

Sabina Drăgoi, Alberto Baiardi, Daniel J. Egger

Combinatorial optimization problems have wide-ranging applications in industry and academia. Quantum computers may help solve them by sampling from carefully prepared Ansatz quantu…

quant-ph2025

Quantum Optimization Benchmarking Library - The Intractable Decathlon

Thorsten Koch, David E. Bernal Neira, Ying Chen +24

Through recent progress in hardware development, quantum computers have advanced to the point where benchmarking of (heuristic) quantum algorithms at scale is within reach. Particu…

quant-ph2025

Quantum Approximate Multi-Objective Optimization

Ayse Kotil, Elijah Pelofske, Stephanie Riedmüller +4

The goal of multi-objective optimization is to understand optimal trade-offs between competing objective functions by finding the Pareto front, i.e., the set of all Pareto optimal…

quant-ph2025

Genuine Multipartite Entanglement in Quantum Optimization

Gopal Chandra Santra, Sudipto Singha Roy, Daniel J. Egger +1

The ability to generate bipartite entanglement in quantum computing technologies is widely regarded as pivotal. However, the role of genuinely multipartite entanglement is much les…

quant-ph2025

Combining quantum processors with real-time classical communication

Almudena Carrera Vazquez, Caroline Tornow, Diego Riste +3

Quantum computers process information with the laws of quantum mechanics. Current quantum hardware is noisy, can only store information for a short time, and is limited to a few qu…