Quantum Computing Methods for Supply Chain Management
Hansheng Jiang, Zuo-Jun Max Shen, Junyu Liu

TL;DR
This paper explores the application of quantum computing to supply chain management, developing a quantum algorithm for inventory control and analyzing its potential and hardware requirements.
Contribution
It introduces a quantized policy iteration algorithm tailored for supply chain problems and evaluates its effectiveness through simulations.
Findings
Quantum algorithm shows promising results in inventory management
Hardware requirements are discussed for near-term implementation
Simulations demonstrate potential advantages over classical methods
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 \texttt{IBM Qiskit} and the \texttt{qBraid} system.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Cloud Computing and Resource Management
