Ching-Yi Lai was born in Taipei, Taiwan. He received his MS in 2006 and BS in 2004 in electrical engineering from National Tsing Hua University, Hsinchu, Taiwan. He received his PhD in 2013 in electrical engineering from the University of Southern California. Since then, he has worked at the Centre for Quantum Software and Information at the University of Technology Sydney and the Institute of Information Science at Academia Sinica in Taiwan. He joined the faculty of the Institute of Communications Engineering at the National Yang Ming Chiao Tung University, Hsinchu, Taiwan in 2018. He was promoted to Associate Professor in 2022.
Prof. Lai received the MOST Young Scholar Fellowship (哥倫布計畫) in 2018 from the Ministry of Science and Technology, and the Excellent Young Research Fellowship (優秀年輕學者) in 2021. His research interests include coding theory, information theory, quantum computation, and quantum cryptography.
Personal Information:
o NYCU Academic Hub: https://scholar.nycu.edu.tw/zh/persons/ching-yi-lai
Belief propagation is the most practical decoding algorithm in traditional communication. However, it cannot effectively handle quantum error correction codes with quantum degeneracy phenomena. It cannot fully play a decoding role in the most valued quantum surface codes currently, and this has been a hard challenge for close to 20 years.
The complexity of the currently most successful perfect matching algorithms is still relatively high, and it is proportional to the square of the code length. We have provided an answer to solve this challenging problem in this paper. Quantum computing model that is speculated currently is estimated to require around one million quantum bits, and it also requires error correction continuously and rapidly. Therefore, our belief propagation algorithm has a mostly linear complexity, which is advantageous compared to the perfect matching algorithm.
Moreover, belief propagation algorithms are already mature technologies in traditional communication practices, our algorithm can be combined with the existing chi development in Taiwan and result in a hardware-optimized quantum decoder.