论文标题

供应链管理的量子计算方法

Quantum Computing Methods for Supply Chain Management

论文作者

Jiang, Hansheng, Shen, Zuo-Jun Max, Liu, Junyu

论文摘要

量子计算预计将对许多领域产生变革性的影响,但是其对行业问题的实际部署却没有反应。我们专注于将量子计算应用于行业的运营管理问题,尤其是供应链管理。供应链管理中的许多问题都涉及大型州和行动空间,并在经典计算机上构成了计算挑战。我们开发了一种量化的政策迭代算法来解决库存控制问题并证明其有效性。我们还深入讨论了在短期内实施该量子算法的硬件要求和潜在挑战。我们的模拟和实验由\ texttt {ibm qiskit}和\ texttt {qbraid}系统提供动力。

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 \texttt{IBM Qiskit} and the \texttt{qBraid} system.

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