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- Publisher Website: 10.1109/SEC54971.2022.00059
- Scopus: eid_2-s2.0-85143581379
- WOS: WOS:000918607200052
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Conference Paper: Quantum Computing Methods for Supply Chain Management
Title | Quantum Computing Methods for Supply Chain Management |
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Authors | |
Keywords | policy iteration quantum computing quantum linear system solver supply chain management |
Issue Date | 5-Dec-2022 |
Publisher | Institute 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 Identifier | http://hdl.handle.net/10722/336541 |
ISBN | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Jiang, H | - |
dc.contributor.author | Shen, ZJM | - |
dc.contributor.author | Liu, J | - |
dc.date.accessioned | 2024-02-16T03:57:35Z | - |
dc.date.available | 2024-02-16T03:57:35Z | - |
dc.date.issued | 2022-12-05 | - |
dc.identifier.isbn | 9781665486118 | - |
dc.identifier.uri | http://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.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.relation.ispartof | 2022 IEEE/ACM 7th Symposium on Edge Computing, SEC 2022 (05/12/2022-08/12/2022, , , Seattle, USA) | - |
dc.subject | policy iteration | - |
dc.subject | quantum computing | - |
dc.subject | quantum linear system solver | - |
dc.subject | supply chain management | - |
dc.title | Quantum Computing Methods for Supply Chain Management | - |
dc.type | Conference_Paper | - |
dc.identifier.doi | 10.1109/SEC54971.2022.00059 | - |
dc.identifier.scopus | eid_2-s2.0-85143581379 | - |
dc.identifier.spage | 400 | - |
dc.identifier.epage | 405 | - |
dc.identifier.isi | WOS:000918607200052 | - |