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Conference Paper: Quantum Computing Methods for Supply Chain Management

TitleQuantum Computing Methods for Supply Chain Management
Authors
Keywordspolicy iteration
quantum computing
quantum linear system solver
supply chain management
Issue Date5-Dec-2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
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.


Persistent Identifierhttp://hdl.handle.net/10722/336541
ISBN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorJiang, H-
dc.contributor.authorShen, ZJM-
dc.contributor.authorLiu, J-
dc.date.accessioned2024-02-16T03:57:35Z-
dc.date.available2024-02-16T03:57:35Z-
dc.date.issued2022-12-05-
dc.identifier.isbn9781665486118-
dc.identifier.urihttp://hdl.handle.net/10722/336541-
dc.description.abstract<p>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.</p>-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.relation.ispartof2022 IEEE/ACM 7th Symposium on Edge Computing, SEC 2022 (05/12/2022-08/12/2022, , , Seattle, USA)-
dc.subjectpolicy iteration-
dc.subjectquantum computing-
dc.subjectquantum linear system solver-
dc.subjectsupply chain management-
dc.titleQuantum Computing Methods for Supply Chain Management-
dc.typeConference_Paper-
dc.identifier.doi10.1109/SEC54971.2022.00059-
dc.identifier.scopuseid_2-s2.0-85143581379-
dc.identifier.spage400-
dc.identifier.epage405-
dc.identifier.isiWOS:000918607200052-

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