论文标题
非对称二元组在非热式光学系统中进行宏观噪声扩增，用于生成扩散模型
Macroscopic noise amplification by asymmetric dyads in non-Hermitian optical systems for generative diffusion models
论文作者
论文摘要
新一代的传感器，硬件随机数生成器以及量子和经典信号探测器正在利用对系统噪声外部扰动的强烈响应。在这里，我们研究了自由扩展的非热光系统中不对称二元组的噪声扩增。 我们表明，对泵送强度的修改可以抵消系统硬件的自然缺陷，而二元组之间的耦合导致具有统计分布不均匀的系统。我们的结果表明，不对称的非热二元组是有效的有效传感器和超快速随机数发生器的候选者。我们建议，从这样的不对称二元组中的集成光发射可以有效地用于机器学习的模拟全光合性扩散模型，以克服此类模型在处理速度和能源消耗中的数字限制。
A new generation of sensors, hardware random number generators, and quantum and classical signal detectors are exploiting strong responses to external perturbations of system noise. Here, we study noise amplification by asymmetric dyads in freely expanding non-Hermitian optical systems. We show that modifications of the pumping strengths can counteract bias from natural imperfections of the system's hardware, while couplings between dyads lead to systems with non-uniform statistical distributions. Our results suggest that asymmetric non-Hermitian dyads are promising candidates for efficient sensors and ultra-fast random number generators. We propose that the integrated light emission from such asymmetric dyads can be efficiently used for analog all-optical degenerative diffusion models of machine learning to overcome the digital limitations of such models in processing speed and energy consumption.
