Date & Time: 

   2023 / 12 / 1 (Fri) 14:20 - 16:20

 

Location: 

   Delta Building R216, NTHU

 

Speaker: 

   林家祥 副教授

   國立成功大學 電機工程學系

 

Topic: 

   Quantum AI for Hyperspectral Remote Sensing

 

Abstract: 

   Quantum science must lead future development of remote sensing technologies. However, given the very limited number of entangled quantum bits (qubits) even in the most advanced quantum computers, is processing remotely sensed hyperspectral images (featured by its large data volume) using quantum computers technically feasible? Even if the quantum image state can be well processed to the quantum state of the target image (QSTI), it cannot be perfectly retrieved/output as the QSTI will collapse to some eigenstate once it is measured. Owing to these challenges, current quantum image processing technologies can only achieve classification-level applications requiring just a few output qubits. We design a hyperspectral quantum deep network (HyperQUEEN) to encode the hyperspectral information using very few qubits, as well as to learn the mapping from some measuring statistics (associated with the collapsedQSTI) to the target image (instead of directly retrieving the unobservable QSTI), thereby solving the challenges. HyperQUEEN is the first quantum architecture for blindly reconstructing the NASA's damaged hyperspectral statellite images, which means a lot for the upcoming space era. As the immature quantum facility nowadays does not yet allow us to fully exhibit its high potential, we are not aiming at developing state-of-the-art methods, but are demonstrating the feasibility of quantum hyperspectral remote sensing. Mathematical analysis guiding our design toward the low-rank quantum deep network, together with comprehensive experiments, will also be reported.

 

Autobiography: 

   Chia-Hsiang Lin is an Associate Professor of Electrical Engineering, and the Director of International Relations, National Cheng Kung University. He received the B.S. degree in electrical engineering and Ph.D. degree in communications engineering from National Tsing Hua University, in 2010 and 2016, respectively. From 2015 to 2016, he was a Visiting Student with Virginia Tech, VA, USA. He held research positions at The Chinese University of Hong Kong, HK, in 2014 and 2017, and the University of Lisbon (ULisboa), Portugal, from 2017 to 2018. He was a Professor with National Central University, and a Visiting Professor with ULisboa. He received 2023 NSTC “Emerging Young Scholar Award” (2030新秀學者計畫), 2022 NSTC “FutureTech Award” (未來科技獎), 2022 CIEE “Outstanding Youth Electrical Engineer Award”, 2021 IEEE Tainan Section “Best Young Professional Member Award”, 2020 IEEE GRSS “Prize Paper Award”, 2020 ACM Multimedia “Top Performance Award”, and NSTC “EINSTEIN Grant Award”. His research areas include quantum AI and satellite remote sensing.