Optoelectronic Physical Unclonable Functions and Reservoir-Inspired Computation with Low Symmetry Integrated Photonics

Abstract

Emerging applications of photonics in computing, sensing, and security increasingly demand complex input-output behaviors, including highly nonlinear transformations of optical signals. Traditional photonic systems rely on highly structured components with symmetric geometries and low-entropy modal responses to achieve predictable and analytically describable behavior. To achieve expressive functionality, this paradigm often requires large networks of fabrication-sensitive interferometers or resonators and substantial hardware error correction to restore deterministic operation. Here we demonstrate an alternative paradigm rooted in low-symmetry, disordered integrated photonic circuits, which provide intrinsically enhanced modal diversity and spectral complexity, enabling highly nonlinear transformations of input signals into information-rich outputs. Our devices, physically unclonable moire quasicrystal interferometers integrated on a silicon photonics platform, exhibit aperiodic and reconfigurable spectral responses and are characterized by analyticity breaking and erasable mutual information. Using dynamic thermo-optic control to drive their complex spectral dynamics, we demonstrate that these devices function as reconfigurable physical unclonable functions (rPUFs). We also highlight their ability to perform high-dimensional input-output transformations, emulating reservoir-inspired information processing in a compact photonic platform. This work bridges the gap between engineered and natural complexity in photonic systems, revealing new opportunities for scalable, energy-efficient, and information-dense optoelectronics with applications in secure communications, hardware security, advanced sensing, and optical information processing. Our results establish low-symmetry integrated photonics as a powerful resource for complex signal manipulation in photonic systems.