Optical kernel machine with programmable nonlinearity

TL;DR

This paper introduces a low-power, tunable optical kernel machine using a reconfigurable scattering cavity, enabling high-performance nonlinear data processing with adjustable sensitivity and capacity.

Contribution

It presents a novel optical kernel with structural nonlinearity that is continuously tunable at low power, implemented in a linear scattering cavity with a micro-mirror array.

Findings

Kernel sensitivity and capacity can be varied via multiple scattering.

Optimized nonlinearity approximates parity functions up to fifth order.

Scheme demonstrates potential for high-performance, low-power photonic applications.

Abstract

Optical kernel machines offer high throughput and low latency. A nonlinear optical kernel can handle complex nonlinear data, but power consumption is typically high with the conventional nonlinear optical approach. To overcome this issue, we present an optical kernel with structural nonlinearity that can be continuously tuned at low power. It is implemented in a linear optical scattering cavity with a reconfigurable micro-mirror array. By tuning the degree of nonlinearity with multiple scattering, we vary the kernel sensitivity and information capacity. We further optimize the kernel nonlinearity to best approximate the parity functions from first order to fifth order for binary inputs. Our scheme offers potential applicability across photonic platforms, providing programmable kernels with high performance and low power consumption.