SS-1.6
CLASSICAL-TO-QUANTUM TRANSFER LEARNING FOR SPOKEN COMMAND RECOGNITION BASED ON QUANTUM NEURAL NETWORKS
Jun Qi, Georgia Institute of Technology, United States of America; Javier Tejedor, Universidad San Pablo-CEU, CEU Universities, Spain
Session:
Quantum Machine Learning for Speech and Language Processing
Track:
Special Sessions
Location:
Gather Area A
Presentation Time:
Sun, 8 May, 20:00 - 20:45 China Time (UTC +8)
Sun, 8 May, 12:00 - 12:45 UTC
Sun, 8 May, 12:00 - 12:45 UTC
Session Co-Chairs:
Pin-Yu Chen, IBM Research and Chao-Han Huck Yang, Georgia Tech.
Session SS-1
SS-1.1: When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing
Chao-Han Huck Yang, Jun Qi, Georgia Institute of Technology, United States of America; Samuel Yen-Chi Chen, Brookhaven National Laboratory, United States of America; Yu Tsao, Academia Sinica, Taiwan; Pin-Yu Chen, IBM Research, United States of America
SS-1.2: Matching Point Sets with Quantum Circuit Learning
Mohammadreza Noormandipour, Hanchen Wang, University of Cambridge, United Kingdom of Great Britain and Northern Ireland
SS-1.3: THE DAWN OF QUANTUM NATURAL LANGUAGE PROCESSING
Riccardo Di Sipio, Ceridian HCM Inc., Italy; Jia-Hong Huang, Marcel Worring, University of Amsterdam, Netherlands; Samuel Yen-Chi Chen, Brookhaven National Laboratory, United States of America; Stefano Mangini, University of Pavia, Italy
SS-1.4: QUANTUM FEDERATED LEARNING WITH QUANTUM DATA
Mahdi Chehimi, Walid Saad, Virginia Tech, United States of America
SS-1.5: QUANTUM LONG SHORT-TERM MEMORY
Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang, Brookhaven National Laboratory, United States of America
SS-1.6: CLASSICAL-TO-QUANTUM TRANSFER LEARNING FOR SPOKEN COMMAND RECOGNITION BASED ON QUANTUM NEURAL NETWORKS
Jun Qi, Georgia Institute of Technology, United States of America; Javier Tejedor, Universidad San Pablo-CEU, CEU Universities, Spain