Quantum Computing Methods for Supply Chain Management

Hansheng Jiang, Z. Shen, Junyu Liu
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引用次数: 2

Abstract

Quantum computing is expected to have transformative influences on many domains, but its practical deployments on industry problems are underexplored. We focus on applying quantum computing to operations management problems in industry, and in particular, supply chain management. Many problems in supply chain management involve large state and action spaces and pose computational challenges on classic computers. We develop a quantized policy iteration algorithm to solve an inventory control problem and demonstrative its effectiveness. We also discuss in-depth the hardware requirements and potential challenges on implementing this quantum algorithm in the near term. Our simulations and experiments are powered by IBM Qiskit and the qBraid system.
供应链管理中的量子计算方法
量子计算有望对许多领域产生变革性影响,但其在工业问题上的实际部署尚未得到充分探索。我们专注于将量子计算应用于工业运营管理问题,特别是供应链管理。供应链管理中的许多问题涉及大的状态和动作空间,对传统计算机的计算提出了挑战。提出了一种量化的策略迭代算法来解决库存控制问题,并验证了该算法的有效性。我们还深入讨论了在短期内实现该量子算法的硬件要求和潜在挑战。我们的模拟和实验是由IBM Qiskit和qBraid系统提供支持的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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