Quantum Computing Methods for Supply Chain Management
| Autor: | Hansheng Jiang, Zuo-Jun Max Shen, Junyu Liu |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
FOS: Computer and information sciences
Quantum Physics Computer Science - Machine Learning Artificial Intelligence (cs.AI) Computer Science - Artificial Intelligence Optimization and Control (math.OC) FOS: Mathematics FOS: Physical sciences Quantum Physics (quant-ph) Mathematics - Optimization and Control Machine Learning (cs.LG) |
| DOI: | 10.48550/arxiv.2209.08246 |
| Popis: | 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. Comment: 6 pages, 5 figures |
| Databáze: | OpenAIRE |
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