Integrated lithium niobate electro-optic modulators: when performance meets scalability

铌酸锂 材料科学 可扩展性 计算机科学 光子学 光电子学 绩效改进 纳米技术 工程物理 工程类 运营管理 数据库
作者
Mian Zhang,Cheng Wang,Prashanta Kharel,Di Zhu,Marko Lončar
出处
期刊:Optica [Optica Publishing Group]
卷期号:8 (5): 652-652 被引量:415
标识
DOI:10.1364/optica.415762
摘要

Electro-optic modulators (EOMs) convert signals from the electrical to the optical domain. They are at the heart of optical communication, microwave signal processing, sensing, and quantum technologies. Next-generation EOMs require high-density integration, low cost, and high performance simultaneously, which are difficult to achieve with established integrated photonics platforms. Thin-film lithium niobate (LN) has recently emerged as a strong contender owing to its high intrinsic electro-optic (EO) efficiency, industry-proven performance, robustness, and, importantly, the rapid development of scalable fabrication techniques. The thin-film LN platform inherits nearly all the material advantages from the legacy bulk LN devices and amplifies them with a smaller footprint, wider bandwidths, and lower power consumption. Since the first adoption of commercial thin-film LN wafers only a few years ago, the overall performance of thin-film LN modulators is already comparable with, if not exceeding, the performance of the best alternatives based on mature platforms such as silicon and indium phosphide, which have benefited from many decades of research and development. In this mini-review, we explain the principles and technical advances that have enabled state-of-the-art LN modulator demonstrations. We discuss several approaches, their advantages and challenges. We also outline the paths to follow if LN modulators are to improve further, and we provide a perspective on what we believe their performance could become in the future. Finally, as the integrated LN modulator is a key subcomponent of more complex photonic functionalities, we look forward to exciting opportunities for larger-scale LN EO circuits beyond single components.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI2S的应助被czt采纳,获得10
刚刚
刚刚
刚刚
刚刚
刚刚
刚刚
思念是什么味道完成签到,获得积分10
1秒前
kkkkkk发布了新的文献求助10
1秒前
阔达忆秋发布了新的文献求助10
1秒前
洛子灵发布了新的文献求助10
1秒前
科研通AI6.2的应助被Flower采纳,获得10
1秒前
1秒前
电池狗做实验的应助被牛马采纳,获得30
1秒前
1秒前
handsome发布了新的文献求助10
2秒前
2秒前
清爽的大树完成签到,获得积分10
2秒前
75986686发布了新的文献求助10
2秒前
沉默的亦竹完成签到,获得积分10
3秒前
3秒前
刘淑女完成签到,获得积分10
3秒前
3秒前
聪慧的微笑完成签到,获得积分10
3秒前
种花兔发布了新的文献求助10
3秒前
杨淼发布了新的文献求助10
3秒前
4秒前
平凡的我发布了新的文献求助10
4秒前
4秒前
4秒前
4秒前
uuu发布了新的文献求助10
5秒前
小海螺完成签到,获得积分10
5秒前
null的应助被老刀采纳,获得10
5秒前
小蘑菇的应助被yjq采纳,获得10
6秒前
6秒前
????的应助被1232采纳,获得10
6秒前
6542完成签到,获得积分10
6秒前
supreme辉完成签到,获得积分10
7秒前
7秒前
14nuo发布了新的文献求助10
7秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea De Guyane 2000
Narrative Disclosure and Earnings Performance: Evidence from R&D Disclosures 1050
内視鏡下経鼻経蝶形骨洞手術術後SIADHに対する予防的水制限の安全性と有効性の検討 1000
Positive Psychology 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8006411
求助须知:如何正确求助?哪些是违规求助? 9457036
关于积分的说明 21164569
捐赠科研通 7578982
什么是DOI,文献DOI怎么找? 3382295
关于科研通互助平台的介绍 2515022
邀请新用户注册赠送积分活动 2417206