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. Even though working on these problems is valuable, it is also
undeniable that their academic-oriented nature falls short of real-world
requirements. The main objective of this research is to present a solving
method for realistic instances, avoiding problem relaxations or technical
shortcuts. Instead, a quantum-classical hybrid solver 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.

通过开发一种量子 - 经典混合求解器 Q4RPD 解决实际案例，并结合 D-Wave 的 Leap Constrained Quadratic Model Hybrid Solver，本研究关注量子计算与路由问题的结合。通过六个不同案例的实验来展示 Q4RPD 的应用，以提供说明性示例。