Enhancing Knapsack-based Financial Portfolio Optimization Using Quantum Approximate Optimization Algorithm

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Bibliografski detalji
Izdano u:	arXiv.org (Dec 21, 2024), p. n/a
Glavni autor:	Huot, Chansreynich
Daljnji autori:	Kea, Kimleang, Tae-Kyung, Kim, Han, Youngsun
Izdano:	Cornell University Library, arXiv.org
Teme:	Algorithms Quantum computing Finance Circuits Empirical analysis Optimization algorithms Optimization techniques Knapsack problem Task complexity Optimization Allocations Effectiveness Portfolio management
Online pristup:	Citation/Abstract Full text outside of ProQuest
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