Plenary Speakers

Xuehua  Wang

Sun Yat-sen University

Title:

On-demand manipulation of nanophotons-matter interaction

Abstract:

微纳光场的按需调控及与物质相互作用是人类了解未知世界的有力手段，是高性能微纳光电子器件及其集成芯片的物理基础，在量子、信息、材料和生命医学等领域有着广泛的应用。报告将介绍三个方面的系统性研究成果：一是构建并利用空间高对称点场将随机辐射的光子调控为有序光子流，高效实现了有“里程碑”和“先驱性”意义的按需可控微纳光子源；二是有效压缩局域表面等离激元光场模体积和线宽，克服和抑制室温下的巨大耗散，高效实现单辐射子与光子的室温强耦合人工量子态；三是功能性设计和剪裁微纳光场的相位，打破了硅基光子器件在可见光区低效的长期困境，并高效实现了光子图像信息的传输和存储。最后，报告将展望未来的发展和挑战。

Title: 

Programmable Photonics

Abstract:

In the past decades, photonic integrated circuits have become entrenched as a key enabling technology for fiber-optic communication. They make it possible to integrate a combination of optical and electrical functions on the surface of a chip, which can be fabricated with the same technologies used for microelectronics. But photonic chips have also been proven useful for sensors, spectrometers, LiDAR, computing and  quantum applications. Only, these applications struggle to really gain traction, and many photonic chip demonstrations are confined to the lab. It takes a lot of effort and time to translate a photonic proof of concept into a product, and one of the obstacles in this process is the lack of rapid chip prototyping capabilities. In digital electronics, we have become accustomed to FPGAs, but a comparable photonic technology does not yet exist. This is where programmable photonics come in. Photonic integrated circuits can be made programmable by making the optical paths reconfigurable through electronically controlled tunable couplers and phase shifters. This way, optical circuits can be defined in software, enabling much more rapid iteration cycles. We will discuss the state of programmable photonics today, the results of recent experiments at Ghent University – IMEC, and where the key challenges are to realize the technology platforms that can truly enable such generic photonic processors.

Ghent University-IMEC, Photonics Research Group

Title:

驾驭光波，赋能计算

Abstract:

人工智能时代的开启伴随着算力需求的爆炸性增长，以微电子摩尔定律驱动的算力提高无法满足人工智能大模型训练与推理的要求，基于光波的大容量、高速率数据连接成为支撑当前与未来算力提高的双引擎之一。但新兴的AI计算与传统的通信以及数据中心应用不同，对光波和光电子技术的要求也有所不同。本报告将从AI计算的应用需求出发，探讨和分享光连接、交换与处理的作用与贡献以及与此相关的问题与挑战。

Wim Bogaerts

Weiping Huang

Shandong University

Xiaoping Shi

Beijing NAURA Microelectronics Equipment Co., Ltd.

Title:

New Opportunities in the IC Equipment Industry in the AI Era

Abstract:

Integrated circuit is the foundation of AI innovation. Chip equipment is the cornerstone of the integrated circuit industry.

This report shares the market situation, technical characteristics and future innovation and development trends of chip equipment. And furthermore, the equipment tools in the field of silicon photonics are addressed.