WS-4.2
Batched Training for QLSTM vs. QFWP: A System-Oriented Approach to EPC-Aware RMSE-DA
Jun-Hao Chen, Ming-Kai Hung, Yun-Cheng Tsai, National Taiwan Normal University, Taiwan; Samuel Yen-Chi Chen, Wells Fargo Bank, United States of America
Session:
WS-4: Quantum Machine Learning in Signal Processing and Artificial Intelligence Oral
Track:
Satellite Workshops
Location:
Room 114
Presentation Time:
Mon, 4 May, 09:00 - 18:00
Presentation
Discussion
Resources
No resources available.
Session WS-4
WS-4.1: Q-A3C2 : QUANTUM REINFORCEMENT LEARNING WITH TIME-SERIES DYNAMIC CLUSTERING FOR ADAPTIVE ETF STOCK SELECTION
Yen-Ku Liu, Yun-Cheng Tsai, National Taiwan Normal University, Taiwan; Samuel Yen-Chi Chen, Wells Fargo Bank, United States of America
WS-4.2: Batched Training for QLSTM vs. QFWP: A System-Oriented Approach to EPC-Aware RMSE-DA
Jun-Hao Chen, Ming-Kai Hung, Yun-Cheng Tsai, National Taiwan Normal University, Taiwan; Samuel Yen-Chi Chen, Wells Fargo Bank, United States of America
WS-4.3: QuChaTeR: A Hybrid Quantum-Chaotic Temporal Framework for Earthquake Prediction
Emir Kaan Özdemir, Ministry of National Education (Türkiye), Türkiye
WS-4.4: Quantum Super-resolution by Adaptive Non-local Observables
Hsin-Yi Lin, Seton Hall University, United States of America; Huan-Hsin Tseng, Brookhaven National Laboratory, United States of America; Samuel Yen-Chi Chen, Wells Fargo, United States of America; Shinjae Yoo, Brookhaven National Laboratory, United States of America
WS-4.5: Quantum Fast Weight Programming for Time Series Prediction
Andrea Ceschini, Antonello Rosato, Massimo Panella, Sapienza University of Rome, Italy; Samuel Yen-Chi Chen, Wells Fargo Bank, United States of America
WS-4.6: Hybrid Continuous Variable Quantum Neural Network for Audio Classification
Zainab Aziz, Indian Institute of Technology Delhi, India; Monika Agrawal, Indian Institute of Technology Delhi / IIT Abu Dhabi, India
WS-4.7: Iterative Matrix Product State Simulation for Scalable Grover’s Algorithm
Mei-Ian Sam, Department of Physics, National Tsing Hua University, Taiwan; Tzu-Ling Kuo, Undergraduate Program in Intelligent Computing and Big Data, Chung Yuan Christian University, Taiwan; Tai-Yue Li, National Center for High-performance Computing, National Institutes of Applied Research, Taiwan
WS-4.8: Exploring Trainability of Quantum Fourier Models for a Data-tailored Encoding Scheme
Felix Paul, Björn Minneker, Peter Jung, German Aerospace Center (DLR), Germany
WS-4.9: MPM-QIR: Measurement-Probability Matching for Quantum Image Representation and Compression via Variational Quantum Circuit
Chong-Wei Wang, Undergraduate Program in Intelligent Computing and Big Data, Chung Yuan Christian University, Taiwan; Mei-Ian Sam, Tzu-Ling Kuo, Department of Physics, National Tsing Hua University, Taiwan; Nan-Yow Chen, Tai-Yue Li, National Center for High-performance Computing, National Institutes of Applied Research, Taiwan
WS-4.10: NEONATAL EEG SEIZURE PREDICTION WITH QUANTUM-INSPIRED CONTINUOUS-VARIABLE (BOSONIC) RESERVOIR COMPUTING
Krishna Bhatia, Fractal AI Research, Fractal Analytics, India; Chun-Yu Lin, National Institutes of Applied Research, Taiwan
Contacts