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A new generation of sensors, hardware random number generators, and quantumand classical signal detectors are exploiting strong responses to externalperturbations of system noise. Here, we study noise amplification by asymmetricdyads in freely expanding non-Hermitian optical systems.  We show that modifications of the pumping strengths can counteract bias fromnatural imperfections of the system's hardware, while couplings between dyadslead to systems with non-uniform statistical distributions. Our results suggestthat asymmetric non-Hermitian dyads are promising candidates for efficientsensors and ultra-fast random number generators. We propose that the integratedlight emission from such asymmetric dyads can be efficiently used for analogall-optical degenerative diffusion models of machine learning to overcome thedigital limitations of such models in processing speed and energy consumption.

Macroscopic noise amplification by asymmetric dyads in non-Hermitian optical systems for generative diffusion models