Quantum computing in supply chain management state of the art and research directions

Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
Asian Journal of Logistics Management
Special issue
DOI of the original publication
Link
Series
Series number
Volume
1
Issue / Number
1
Pages / Duration
57-73
Patent number
Publisher / Publishing institution
Diponegoro University
Place of publication / Event location
Kota Semarang
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
Quantum computing is the most promising computational advance of the coming decade for solving the most challenging problems in supply chain management and logistics. This paper reviews the state-of-the-art of quantum computing and provides directions for future research. First, general concepts relevant to quantum computers and quantum computing are introduced. Second, the dominating quantum technologies are presented. Third, the quantum industry is analyzed, and recent applications in different fields of supply chain management and logistics are illustrated. Fourth, directions for future research are given. We hope this review to educate and inspire the use of quantum computing in the fields of optimization, artificial intelligence, and machine learning for supply chain and logistics.
Keywords
Subject (DDC)
330 - Wirtschaft
Project
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
2830-1803
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Expert editing/editorial review
Open access category
Diamond
License
'https://creativecommons.org/licenses/by-sa/4.0/'
Citation
GACHNANG, Phillip, Joachim EHRENTHAL, Thomas HANNE und Rolf DORNBERGER, 2022. Quantum computing in supply chain management state of the art and research directions. Asian Journal of Logistics Management. 2022. Bd. 1, Nr. 1, S. 57–73. DOI 10.14710/ajlm.2022.14325. Verfügbar unter: https://doi.org/10.26041/fhnw-7216