利用埃尔曼 Rnn 和回声态网络,优化用克利福德代数表达的韦尔费米子海中 (3+1)d 光子传播的权重函数

S. Furui, Serge Dos Santos
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引用次数: 0

摘要

我们通过将狄拉克费米子替换为用双四元数表示的韦尔费米子,利用定点作用修改了 (3+1)D 量子色动力学的晶格模拟。声子的路径由特征函数的权函数描述。优化采用 Elman 循环神经网络和回声状态网络。比较了两种优化方法的数值结果。我们比较了低维系统中基于时间逆转的非线性弹性波谱学和基于四元场理论的理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of Weight Function for (3+1)d Phonon Propagation in Weyl Fermion Sea Expressed by Clifford Algebra Using Elman Rnn and Echo State Network
We modify the lattice simulation of (3+1)D Quantum Chromo Dynamics using fixed point actions by replacing Dirac fermions to Weyl fermions expressed by biquaternions. Paths of phonons are described by the weight function of eigenfunctions. The optimization is performed by using Elman Recurrent Neural Network and the Echo State Networks. Numerical results of the two optimizations are compared. We compare in lower dimensional systems the Time-Reversal based Nonlinear Elastic Wave Spectroscopy and the theory based on Quaternion Field Theory.
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