光子学
硅光子学
光子集成电路
光电子学
神经形态工程学
光学计算
光开关
材料科学
电子线路
计算机科学
移相模块
电子工程
电气工程
工程类
插入损耗
机器学习
人工神经网络
作者
Jacqueline Geler-Kremer,Felix Eltes,Pascal Stark,David Stark,Daniele Caimi,H. Siegwart,Bert Jan Offrein,J. Fompeyrine,Stefan Abel
出处
期刊:Nature Photonics
[Nature Portfolio]
日期:2022-05-30
卷期号:16 (7): 491-497
被引量:125
标识
DOI:10.1038/s41566-022-01003-0
摘要
A novel class of programmable integrated photonic circuits has emerged over the past years, strongly driven by approaches to tackle unsolved computing problems in the optical domain. Photonic neuromorphic and quantum computing are examples of optical systems implemented in complex photonic circuits, which are reconfigured before and during operation. However, a key building block to enable efficient reconfigurable optical network architectures is still missing: a non-volatile optical phase shifter. Here we demonstrate such an element—compatible with silicon photonics—based on the monolithic integration of BaTiO3 thin films with silicon waveguides. By manipulating ferroelectric domains in BaTiO3 with electrical control signals, we achieve analogue and non-volatile optical phase tuning with no absorption changes. We demonstrate an eight-level long-term-stable photonic device with non-destructive optical readout and switching energy as low as 4.6 pJ. With our results, an analogue non-volatile photonic element is added to the integrated photonics toolbox, enabling a new generation of power-efficient programmable photonic circuits.
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