Solving a Real-World Package Delivery Routing Problem Using Quantum Annealers
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Abstract (arXiv)
Research focused on the conjunction between quantum computing and routing problems has been very prolific in recent years. Most of the works revolve around classical problems such as the Traveling Salesman Problem or the Vehicle Routing Problem. The real-world applicability of these problems is dependent on the objectives and constraints considered. Anyway, it is undeniable that it is often difficult to translate complex requirements into these classical formulations.The main objective of this research is to present a solving scheme for dealing with realistic instances while maintaining all the characteristics and restrictions of the original real-world problem. Thus, a quantum-classical strategy has been developed, coined Q4RPD, that considers a set of real constraints such as a heterogeneous fleet of vehicles, priority deliveries, and capacities characterized by two values: weight and dimensions of the packages. Q4RPD resorts to the Leap Constrained Quadratic Model Hybrid Solver of D-Wave. To demonstrate the application of Q4RPD, an experimentation composed of six different instances has been conducted, aiming to serve as illustrative examples.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 8 of its 56 references that are in the map. First posted on arXiv 22 Mar 2024.
Builds on
8 of 56 references.
References · 8
- 2023H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problemcited by 43
- 2020Quantum Computing: A Taxonomy, Systematic Review and Future Directionscited by 16
- 2020Quantum computing for energy systems optimization: Challenges and opportunitiescited by 15
- 2023Hybrid Approach for Solving Real-World Bin Packing Problem Instances Using Quantum Annealerscited by 7
- 2022Quantum Annealing for Vehicle Routing Problem with weighted Segmentcited by 4
- 2016An Improved Discrete Bat Algorithm for Symmetric and Asymmetric Traveling Salesman Problemscited by 3
- 2019Google vs IBM: A Constraint Solving Challenge on the Job-Shop Scheduling Problemcited by 3
- 2022Optimizing the Production of Test Vehicles using Hybrid Constrained Quantum Annealingcited by 1
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Citing papers per year: 2024: 1; 2025: 4; 2026: 1.
6 papers.
- 2024D-Wave's Nonlinear-Program Hybrid Solver: Description and Performance Analysiscited by 5
- 2025On the Transfer of Knowledge in Quantum Algorithmscited by 1
- 2025Solving Drone Routing Problems with Quantum Computing: A Hybrid Approach Combining Quantum Annealing and Gate-Based Paradigmscited by 0
- 2025Optimizing Package Delivery with Quantum Annealers: Addressing Time-Windows and Simultaneous Pickup and Deliverycited by 0
- 2025Quantum Annealing for Staff Scheduling in Educational Environmentscited by 0
- 2026Coordinated optimization of departure sequencing and section-track allocation in railway short-term concentrated departure scenarios based on qubo and hybrid quantum algorithmscited by 0
- 2026Coordinated optimization of departure sequencing and section-track allocation in railway short-term concentrated departure scenarios based on qubo and hybrid quantum algorithms4 Jun 2026
- 2025Quantum Annealing for Staff Scheduling in Educational Environments14 Oct 2025
- 2025Optimizing Package Delivery with Quantum Annealers: Addressing Time-Windows and Simultaneous Pickup and Delivery2 Apr 2025
- 2025Solving Drone Routing Problems with Quantum Computing: A Hybrid Approach Combining Quantum Annealing and Gate-Based Paradigms30 Jan 2025
- 2025On the Transfer of Knowledge in Quantum Algorithms23 Jan 2025
- 2024D-Wave's Nonlinear-Program Hybrid Solver: Description and Performance Analysis10 Oct 2024