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arxiv: 2504.01560 · v1 · pith:O54DV6AD · submitted 2025-04-02 · cs.ET · cs.AI

Optimizing Package Delivery with Quantum Annealers: Addressing Time-Windows and Simultaneous Pickup and Delivery

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classification cs.ET cs.AI
keywords problemsdeliveryproblemquantumroutingaddressingclassicalinstances
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Recent research at the intersection of quantum computing and routing problems has been highly prolific. Much of this work focuses on classical problems such as the Traveling Salesman Problem and the Vehicle Routing Problem. The practical applicability of these problems depends on the specific objectives and constraints considered. However, it is undeniable that translating complex real-world requirements into these classical formulations often proves challenging. In this paper, we resort to our previously published quantum-classical technique for addressing real-world-oriented routing problems, known as Quantum for Real Package Delivery (Q4RPD), and elaborate on solving additional realistic problem instances. Accordingly, this paper emphasizes the following characteristics: i) simultaneous pickup and deliveries, ii) time-windows, and iii) mobility restrictions by vehicle type. To illustrate the application of Q4RPD, we have conducted an experimentation comprising seven instances, serving as a demonstration of the newly developed features.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Steiner Traveling Salesman Problem with Time Windows and Pickup-Delivery: integrating classical and quantum optimization

    cs.ET 2025-08 unverdicted novelty 6.0

    The authors define STSPTWPD, supply arc-based and node-based formulations with arc-reduction preprocessing, and benchmark them on Gurobi and D-Wave LeapCQMHybrid.

  2. Cutting-plane methodology via quantum optimization for solving the Traveling Salesman Problem

    quant-ph 2026-04 unverdicted novelty 3.0

    Iterative cutting-plane generation and arc preprocessing reduce TSP model size and yield performance gains on classical, direct quantum, and hybrid D-Wave solvers.