Feb. 27, 2024, 5:44 a.m. | Parfait Atchade-Adelomou, Kent Larson

cs.LG updates on arXiv.org arxiv.org

arXiv:2302.00105v2 Announce Type: replace-cross
Abstract: In this work, we aim to confirm the impact of the Fourier series on the quantum machine learning model. We will propose models, tests, and demonstrations to achieve this objective. We designed a quantum machine learning leveraged on the Hamiltonian encoding. With a subtle change, we performed the trigonometric interpolation, binary and multiclass classifier, and a quantum signal processing application. We also proposed a block diagram of determining approximately the Fourier coefficient based on quantum …

abstract aim arxiv change cs.lg encoding fourier impact machine machine learning machine learning model quant-ph quantum series tests type will work

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