Affiliation:
1. Sharif University of Technology
Abstract
Optical structures can serve as low-power high-capacity alternatives of
electronic processors for more efficient neuromorphic computing, but
can suffer from large footprints and weak scalability. In this work,
properly phased time-perturbed microrings side-coupled to a waveguide
are utilized to realize a compact processor for linear
transformations. We build up a synthetic frequency dimension to
provide sufficient degrees of freedom, where the linear time-varying
structures enable the linear intermixing and transformation of
frequency-multiplexed data. Moreover, non-reciprocal and asymmetric
flow of data in the forward and backward modes, due to phasing of the
perturbations, helped to build up another synthetic dimension and to
avoid physically repeating the processing elements, thus enabling a
much more compact and scalable linear processor.
Subject
Electronic, Optical and Magnetic Materials
Cited by
1 articles.
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