Temporal Analog Optical Computing using an On-Chip Fully Reconfigurable Photonic Signal Processor
Hossein Babashah, Zahra Kavehvash, Amin Khavasi, Somayyeh Koohi

TL;DR
This paper presents a fully reconfigurable on-chip temporal optical computing system that performs mathematical operations like differentiation and integration using dispersive Fourier transform and advanced modulation techniques, achieving high resolution and broadband operation.
Contribution
It introduces a novel, fully reconfigurable photonic integrated signal processor that overcomes size and reconfigurability limitations of previous systems, enabling large-scale general-purpose optical computing.
Findings
Operation time of 200 ps with 300 fs resolution
Utilizes broadband photonic crystal waveguide with large group-velocity dispersion
Potential for chip-scale all-optical signal processing over 400 GHz bandwidth
Abstract
This paper introduces the concept of on-chip temporal optical computing, based on dispersive Fourier transform and suitably designed modulation module, to perform mathematical operations of interest, such as differentiation, integration, or convolution in time domain. The desired mathematical operation is performed as signal propagates through a fully reconfigurable on-chip photonic signal processor. Although a few number of photonic temporal signal processors have been introduced recently, they are usually bulky or they suffer from limited reconfigurability which is of great importance to implement large-scale general-purpose photonic signal processors. To address these limitations, this paper demonstrates a fully reconfigurable photonic integrated signal processing system. As the key point, the reconfigurability is achieved by taking advantages of dispersive Fourier transformation,…
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