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- W4309955903 abstract "Calculating the expected spin configuration of the chain consisting of Ferrum atoms interacting with each other through exchange interaction is fundamentally a configuration optimization problem. Quantum Approximate Optimization Algorithm is a suitable candidate to configure such systems on a quantum device. In this work we have considered Ferrum chains of three different lengths and calculated their most-probable spin configurations using Quantum Approximate Optimization Algorithm. We employed a Quantum Feed Forward Neural Network as the optimizer of Quantum Approximate Optimization Algorithm. We have successfully obtained the expected spin configuration for the longest Ferrum Chain." @default.
- W4309955903 created "2022-11-30" @default.
- W4309955903 creator A5044078429 @default.
- W4309955903 date "2022-11-23" @default.
- W4309955903 modified "2023-09-26" @default.
- W4309955903 title "Searching for Possible Spin Configurations of Ferrum Chain via Quantum Approximate Optimization Algorithm" @default.
- W4309955903 doi "https://doi.org/10.48550/arxiv.2211.12903" @default.
- W4309955903 hasPublicationYear "2022" @default.
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