09/30/2019 10:30 AM - 12:00 PM El Mirador C West
Time
10:30 AM - 12:00 PM
(PIP) Photonic Integration and Packaging
  • F. Duport (FR) III-V Lab

MD2.2 - SILICON NITRIDE BRAGG GRATING WITH JOULE THERMAL TUNING FOR EXTERNAL CAVITY LASERS

Presentation Type
Contributed Submission
Authors
  • F. Van Dijk (FR) III-V Lab
  • P. Primiani (FR) III-V lab
  • S. Boust (FR) III-V Lab
  • J. Fedeli (FR) CEA-LETI
  • F. Duport (FR) III-V Lab
  • C. Gomez (FR) III-V Lab
  • J. Paret (FR) III-V Lab
  • A. Garreau (FR) III-V Lab
  • K. Mekhazni (FR) III-V Lab
  • C. Fortin (FR) III-V Lab
Date
09/30/2019
Time
10:30 AM - 12:00 PM
Room
El Mirador C West
Duration
15 Minutes
Lecture Time
11:00 AM - 11:15 AM

Abstract

Abstract

The paper presents a fabrication platform based on silicon nitride embedded in silica on silicon wafers. Long Bragg gratings were fabricated for narrow linewidth lasers. On these laser we obtained a continuous tuning range of 0.16 nm and a discontinuous tuning range of 1.5 nm.

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(PIP) Photonic Integration and Packaging
  • A. Jain (US) Seagate Technology

MD2.3 - CMOS COMPATIBLE OPTICAL ISOLATOR WITH TANDEM RING MODULATORS

Presentation Type
Contributed Submission
Authors
  • S. Dwivedi (BE) Imec
  • A. Jain (US) Seagate Technology
  • S. Arafin (US)
Date
09/30/2019
Time
10:30 AM - 12:00 PM
Room
El Mirador C West
Duration
15 Minutes
Lecture Time
11:15 AM - 11:30 AM

Abstract

Abstract

Integrated optical isolators have relied on bonded magnetic materials for isolation > 30dB. However, such materials are incompatible with CMOS processes. We propose a tandem ring modulators to achieve high-isolation and a small footprint. It uses plasma dispersion effect, thus achieving low-insertion loss and high-speed modulation.

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(PIP) Photonic Integration and Packaging
  • T. Ferreira de Lima (US) Princeton University

MD2.4 - NEUROMORPHIC PHOTONICS FOR DEEP LEARNING

Presentation Type
Invited Submission
Authors
  • V. Bangari (CA) Queen's University
  • B. Marquez (CA) Queen's University
  • A. Tait (US) National Institute of Standards and Technology
  • M. Nahmias (US) Princeton University
  • T. Ferreira de Lima (US) Princeton University
  • H. Peng (US) Princeton University
  • P. Prucnal (US) Princeton University
  • B. Shastri (CA) Queen's University, Physics, Engineering Physics & Astronomy
Date
09/30/2019
Time
10:30 AM - 12:00 PM
Room
El Mirador C West
Duration
30 Minutes
Lecture Time
11:30 AM - 12:00 PM

Abstract

Abstract

Co-integrated neuromorphic photonic and electronic processors promise orders of magnitude improvements in both speed and energy efficiency over purely digital electronic approaches. We discuss neuromorphic photonic systems and their application to deep convolutional neural networks inference.

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