Quantum Computing Simulated Annealing Algorithm Applying in Portfolio Optimization Problem

Shan, Baoyuan and Shang, Zucheng (2023) Quantum Computing Simulated Annealing Algorithm Applying in Portfolio Optimization Problem. In: Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, September 1–3, 2023, Chongqing, China.

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Abstract

The quantum annealing algorithm is an optimization algorithm which utilizes the quantum tunnelling effect produced by quantum fluctuations to escape local optima, thus enhancing the chance of finding the global optimal solution. Portfolio optimization problems effectively describe activities such as

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 16:46
Last Modified: 17 Apr 2026 01:51
URI: http://eprints.eai.eu/id/eprint/45290

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