论文标题
岩石冰分储层的模式识别
Pattern recognition with a magnon-scattering reservoir
论文作者
论文摘要
镁质是磁性材料中的基本激发，并在大输入功率下经历非线性多模散射过程。在实验和模拟中，我们表明可以利用封闭磁涡流的磁杆模式之间的相互作用以进行模式识别。我们研究了包含正弦波脉冲的信号的磁反应，这些频率与径向模式激发相对应。三麦克农散射导致不同方位角模式的激发，其幅度在很大程度上取决于输入序列。我们表明，使用散射模式可以在四符号序列中获得高于95 \％的识别率，并且在输入中存在振幅噪声，并且具有强大的性能。
Magnons are elementary excitations in magnetic materials and undergo nonlinear multimode scattering processes at large input powers. In experiments and simulations, we show that the interaction between magnon modes of a confined magnetic vortex can be harnessed for pattern recognition. We study the magnetic response to signals comprising sine wave pulses with frequencies corresponding to radial mode excitations. Three-magnon scattering results in the excitation of different azimuthal modes, whose amplitudes depend strongly on the input sequences. We show that recognition rates above 95\% can be attained for four-symbol sequences using the scattered modes, with strong performance maintained with the presence of amplitude noise in the inputs.
