In the current NISQ-era, one of the major challenges faced by researchers and practitioners lies in figuring out how to combine quantum and classical computing in the most efficient and innovative way. In this paper, we present a mechanism coined as Quantum Initialization for Warehouse Optimization Problem that resorts to D-Wave's Quantum Annealer. The module has been specifically designed to be embedded into already existing classical software dedicated to the optimization of a real-world industrial problem. We preliminary tested the implemented mechanism through a two-phase experiment against the classical version of the software.

翻译：在当前NISQ时代，研究人员和从业者面临的主要挑战之一在于如何以最高效和最具创新的方式结合量子计算与经典计算。本文提出一种称为“仓库优化问题的量子初始化”机制，该机制借助D-Wave量子退火器实现。该模块经专门设计，可嵌入现有专注于现实工业问题优化的经典软件中。我们通过两阶段实验，将所实现机制与软件经典版本进行对比，完成了初步测试。