Date: March 02, 2022  

Source: College of Information Science and Technology 

Prof. Tan Xiaoqing's team in JNU's College of Information Science and Technology / College of Cyber Security has reported progress in quantum machine learning, and its paper “Learning to Learn Variational Quantum Algorithm” has been accepted by IEEE Transactions on Neural Networks and Learning Systems （IEEE TNNLS）, a top international academic journal on artificial intelligence. IEEE TNNLS is the top SCI-1 journal of the Chinese Academy of Sciences (IF10.451). Huang Rui, a doctoral student in cyberspace security, is the first author, and Prof. Xiaoqing Tan, a doctoral supervisor, is the corresponding author.

(Fig.1. Screenshot of IEEE TNNLS's home page)

(Fig.2. Screenshot of the paper)

(Fig.3. Meta-VQA expanding to larger system sizes and problem instances)

Relying on JNU’s Cryptography and Coding Laboratory, the research was supported by the National (62032009) and Guangdong (2021A1515011440) Natural Science Foundations, the Guangdong Basic and Applied Basic Research Foundation (2019B030302008) and JNU's Top-Notch Innovative Talents Training Program for Doctoral Students (2021CXB007).

Link to paper: https://doi.org/10.1109/TNNLS.2022.3151127