Semantic Scholar Open Access 2023 15 sitasi

Energy efficient photonic memory based on electrically programmable embedded III-V/Si memristors: switches and filters

S. Cheung B. Tossoun Yuan Yuan Yiwei Peng Yingtao Hu +4 lainnya

Abstrak

Over the past few years, extensive work on optical neural networks has been investigated in hopes of achieving orders of magnitude improvement in energy efficiency and compute density via all-optical matrix-vector multiplication. However, these solutions are limited by a lack of high-speed power power-efficient phase tuners, on-chip non-volatile memory, and a proper material platform that can heterogeneously integrate all the necessary components needed onto a single chip. We address these issues by demonstrating embedded multi-layer HfO2/Al2O3 memristors with III-V/Si photonics which facilitate non-volatile optical functionality for a variety of devices such as Mach-Zehnder Interferometers, and (de-)interleaver filters. The Mach-Zehnder optical memristor exhibits non-volatile optical phase shifts > π with ~33 dB signal extinction while consuming 0 electrical power consumption. We demonstrate 6 non-volatile states each capable of 4 Gbps modulation. (De-) interleaver filters were demonstrated to exhibit memristive non-volatile passband transformation with full set/reset states. Time duration tests were performed on all devices and indicated non-volatility up to 24 hours and beyond. We demonstrate non-volatile III-V/Si optical memristors with large electric-field driven phase shifts and reconfigurable filters with true 0 static power consumption. As a result, co-integrated photonic memristors offer a pathway for in-memory optical computing and large-scale non-volatile photonic circuits. Stanley Cheung and co-authors introduce co-integrated III-V/Si memristors with fundamental photonic building blocks used in both communication and computing applications. This allows a path towards realizing low-loss, non-volatile optical elements with near-zero static power consumption.

Topik & Kata Kunci

Penulis (9)

S

S. Cheung

B

B. Tossoun

Y

Yuan Yuan

Y

Yiwei Peng

Y

Yingtao Hu

W

W. V. Sorin

G

G. Kurczveil

D

D. Liang

R

R. Beausoleil

Format Sitasi

Cheung, S., Tossoun, B., Yuan, Y., Peng, Y., Hu, Y., Sorin, W.V. et al. (2023). Energy efficient photonic memory based on electrically programmable embedded III-V/Si memristors: switches and filters. https://doi.org/10.1038/s44172-024-00197-1

Akses Cepat

Lihat di Sumber doi.org/10.1038/s44172-024-00197-1
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
15×
Sumber Database
Semantic Scholar
DOI
10.1038/s44172-024-00197-1
Akses
Open Access ✓