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quant-ph2026
Vehicle-Routing Clustering by Sparse Quantum Relaxation
Farzan Moosavi, Bilal Farooq
This paper studies the cluster-assignment layer of a cluster-first-route-second decomposition for the capacitated pickup-and-delivery problem with time windows (CPDPTW), instead of…
quant-ph2026
RL-Guided Quantum-ALNS for Constrained VRP
Farzan Moosavi, Bilal Farooq
This study develops a hybrid quantum-classical framework for constrained vehicle routing problems, focusing on the pickup-and-delivery problem with time windows. Instead of casting…
quant-ph2025
Quantum-Efficient Reinforcement Learning Solutions for Last-Mile On-Demand Delivery
Farzan Moosavi, Bilal Farooq
Quantum computation has demonstrated a promising alternative to solving the NP-hard combinatorial problems. Specifically, when it comes to optimization, classical approaches become…