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Temporal analog optical computing using an on-chip fully reconfigurable photonic signal processor

Babashah, H ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1016/j.optlastec.2018.09.027
  3. Publisher: Elsevier Ltd , 2019
  4. Abstract:
  5. 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 numbers 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, linearly chirp modulation using four-wave mixing, and applying the desired arbitrary transfer function through a cascaded Mach-Zehnder modulator and a phase modulator. Numerical simulations of the proposed structure reveal a great potential for chip-scale fully reconfigurable all-optical signal processing through a bandwidth of 400 GHz
  6. Keywords:
  7. Dispersion ; Fourier optics ; Integrability ; Integrated optics ; Nonlinear optics ; Optoelectronics ; Chirp modulation ; Dispersion (waves) ; Four wave mixing ; Fourier transforms ; Integration ; Light modulators ; Linear transformations ; Optical data processing ; Optoelectronic devices ; All-optical signal processing ; Arbitrary transfer functions ; Dispersive Fourier transforms ; Integrated signal processing ; Mathematical operations ; Photonic-signal processors ; Reconfigurable photonics ; Optical signal processing
  8. Source: Optics and Laser Technology ; Volume 111 , 2019 , Pages 66-74 ; 00303992 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0030399217318728