Quantum-inspired Computing: Entanglement-enhanced Technique for Short Portfolio in Global Markets

Yu Chi Jiang; Yun Ting Lai; Po Chun Chen; Yu Yu Chang; Kun Min Wu; Shu Yu Kuo; Yao Hsin Chou; Sy Yen Kuo

doi:10.1109/NANO58406.2023.10231234

Quantum-inspired Computing: Entanglement-enhanced Technique for Short Portfolio in Global Markets

Yu Chi Jiang
, Yun Ting Lai
, Po Chun Chen
, Yu Yu Chang
, Kun Min Wu
, Shu Yu Kuo
, Yao Hsin Chou
, Sy Yen Kuo

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Portfolio optimization is an essential aspect of the development of quantum computing. The quantum-inspired op-timization (QIO) algorithm facilitates an efficient search for the optimal solution by simulating quantum mechanics on a classical computer, thus bridging quantum theory and the actual implementation of quantum computing. This study proposes an entanglement-based QIO to optimize the short-selling portfolio in a group of seven (G7) industrialized nations, which are the world's largest markets and significantly impact global economies. To diversify investment options in response to the ever-changing markets, short-selling is a worthy topic for dis-cussion. The innovative trend ratio can precisely determine the performance of a short-selling portfolio during a stable downward trend. Implementing the short-selling trend ratio model in the significant G7 markets broadens its applicability.

Original language	English
Title of host publication	2023 IEEE 23rd International Conference on Nanotechnology, NANO 2023
Publisher	IEEE Computer Society
Pages	534-538
Number of pages	5
ISBN (Electronic)	9798350333466
DOIs	https://doi.org/10.1109/NANO58406.2023.10231234
State	Published - 2023
Event	23rd IEEE International Conference on Nanotechnology, NANO 2023 - Jeju City, Korea, Republic of Duration: 02 07 2023 → 05 07 2023

Publication series

Name	Proceedings of the IEEE Conference on Nanotechnology
Volume	2023-July
ISSN (Print)	1944-9399
ISSN (Electronic)	1944-9380

Conference

Conference	23rd IEEE International Conference on Nanotechnology, NANO 2023
Country/Territory	Korea, Republic of
City	Jeju City
Period	02/07/23 → 05/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Access to Document

10.1109/NANO58406.2023.10231234

Cite this

Jiang, Y. C., Lai, Y. T., Chen, P. C., Chang, Y. Y., Wu, K. M., Kuo, S. Y., Chou, Y. H., & Kuo, S. Y. (2023). Quantum-inspired Computing: Entanglement-enhanced Technique for Short Portfolio in Global Markets. In 2023 IEEE 23rd International Conference on Nanotechnology, NANO 2023 (pp. 534-538). (Proceedings of the IEEE Conference on Nanotechnology; Vol. 2023-July). IEEE Computer Society. https://doi.org/10.1109/NANO58406.2023.10231234

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title = "Quantum-inspired Computing: Entanglement-enhanced Technique for Short Portfolio in Global Markets",

abstract = "Portfolio optimization is an essential aspect of the development of quantum computing. The quantum-inspired op-timization (QIO) algorithm facilitates an efficient search for the optimal solution by simulating quantum mechanics on a classical computer, thus bridging quantum theory and the actual implementation of quantum computing. This study proposes an entanglement-based QIO to optimize the short-selling portfolio in a group of seven (G7) industrialized nations, which are the world's largest markets and significantly impact global economies. To diversify investment options in response to the ever-changing markets, short-selling is a worthy topic for dis-cussion. The innovative trend ratio can precisely determine the performance of a short-selling portfolio during a stable downward trend. Implementing the short-selling trend ratio model in the significant G7 markets broadens its applicability.",

author = "Jiang, \{Yu Chi\} and Lai, \{Yun Ting\} and Chen, \{Po Chun\} and Chang, \{Yu Yu\} and Wu, \{Kun Min\} and Kuo, \{Shu Yu\} and Chou, \{Yao Hsin\} and Kuo, \{Sy Yen\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 23rd IEEE International Conference on Nanotechnology, NANO 2023 ; Conference date: 02-07-2023 Through 05-07-2023",

year = "2023",

doi = "10.1109/NANO58406.2023.10231234",

language = "英语",

series = "Proceedings of the IEEE Conference on Nanotechnology",

publisher = "IEEE Computer Society",

pages = "534--538",

booktitle = "2023 IEEE 23rd International Conference on Nanotechnology, NANO 2023",

address = "美国",

}

Jiang, YC, Lai, YT, Chen, PC, Chang, YY, Wu, KM, Kuo, SY, Chou, YH & Kuo, SY 2023, Quantum-inspired Computing: Entanglement-enhanced Technique for Short Portfolio in Global Markets. in 2023 IEEE 23rd International Conference on Nanotechnology, NANO 2023. Proceedings of the IEEE Conference on Nanotechnology, vol. 2023-July, IEEE Computer Society, pp. 534-538, 23rd IEEE International Conference on Nanotechnology, NANO 2023, Jeju City, Korea, Republic of, 02/07/23. https://doi.org/10.1109/NANO58406.2023.10231234

Quantum-inspired Computing: Entanglement-enhanced Technique for Short Portfolio in Global Markets. / Jiang, Yu Chi; Lai, Yun Ting; Chen, Po Chun et al.
2023 IEEE 23rd International Conference on Nanotechnology, NANO 2023. IEEE Computer Society, 2023. p. 534-538 (Proceedings of the IEEE Conference on Nanotechnology; Vol. 2023-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Jiang, Yu Chi

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AB - Portfolio optimization is an essential aspect of the development of quantum computing. The quantum-inspired op-timization (QIO) algorithm facilitates an efficient search for the optimal solution by simulating quantum mechanics on a classical computer, thus bridging quantum theory and the actual implementation of quantum computing. This study proposes an entanglement-based QIO to optimize the short-selling portfolio in a group of seven (G7) industrialized nations, which are the world's largest markets and significantly impact global economies. To diversify investment options in response to the ever-changing markets, short-selling is a worthy topic for dis-cussion. The innovative trend ratio can precisely determine the performance of a short-selling portfolio during a stable downward trend. Implementing the short-selling trend ratio model in the significant G7 markets broadens its applicability.

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Quantum-inspired Computing: Entanglement-enhanced Technique for Short Portfolio in Global Markets

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