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math.OC2026
Hybrid Quantum-Classical Optimization for Multi-Objective Supply Chain Logistics
Raoul Heese, Timothée Leleu, Sam Reifenstein +2
A multi-objective logistics optimization problem from a real-world supply chain is formulated as a Quadratic Unconstrained Binary Optimization Problem (QUBO) that minimizes cost, e…
math.OC2024★ 8 cited
Quantum Computing for Discrete Optimization: A Highlight of Three Technologies
Alexey Bochkarev, Raoul Heese, Sven Jäger +2
Quantum optimization has emerged as a promising frontier of quantum computing, providing novel numerical approaches to mathematical optimization problems. The main goal of this pap…