时间：2023年5月8日 10:00-11:00

地点： 电院群楼2-410室

Conveying, displaying and storing information

褚嘉琦

Principal Researcher , Microsoft Research Cambridge

摘要:

The talk covers two examples how information is encoded, transmit and displayed or stored. In the first part, we propose novel approaches to encode 2D images with orbital angular momentum of the light, which was conventionally used to encode and decode on-axis 1bit information only. Through theoretical derivation and experimental demonstration, we show the possibility of conveying higher dimensional information and achieving 3D displays with orbital angular momentum.  In the second part of the talk, we will  introduce an idea of applying holographic data storage to store information in the warm data era, which is the hardest infrastructure challenges facing cloud providers to tackle due to the slowdown of Moore’s Law. Our team developed a technique to read and write data as holograms into crystals. We experimentally demonstrated the highest density of holographic optical data storage  achieved to  date,  along with  a  quantification  of the  energy  efficiency  of such storage and theoretical limits of the storage capacity. These  record  results, apart from advancing  scientific  understanding  in  the  field,  show  a  path  towards  energy-efficient holographic optical storage in the cloud.

简介:

Jiaqi Chu is a Principal Researcher at Microsoft Research Cambridge. She received Ph.D. degree  in  Electrical  Engineering from  University of Cambridge  in 2018,  B.E. degree  in Electrical  Engineering from Shanghai Jiao Tong  University in 2013.  From April 2020 to September 2022, she worked as a Senior Researcher at Microsoft Research Cambridge on optical  data  storage.  From  April  2018  to  April  2020,  she  worked  as  a  postdoctoral researcher on optical data storage at Microsoft Research Cambridge. Her current research interests include orbital angular momentum of the light, 3D displays, spatial light modulator, optical data storage, holography, and optical computing.