4 citations · 5 across the 4 of their papers we have counts for
4 papers
Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting
Yu-Chao Hsu, Nan-Yow Chen, Tai-Yu Li +3
We present the Quantum Kernel-Based Long short-memory (QK-LSTM) network, which integrates quantum kernel methods into classical LSTM architectures to enhance predictive accuracy an…
Quantum Kernel-Based Long Short-term Memory
Yu-Chao Hsu, Tai-Yu Li, Kuan-Cheng Chen
The integration of quantum computing into classical machine learning architectures has emerged as a promising approach to enhance model efficiency and computational capacity. In th…
Quantum Computing for Climate Resilience and Sustainability Challenges
Kin Tung Michael Ho, Kuan-Cheng Chen, Lily Lee +4
The escalating impacts of climate change and the increasing demand for sustainable development and natural resource management necessitate innovative technological solutions. Quant…
Quantum-Train Long Short-Term Memory: Application on Flood Prediction Problem
Chu-Hsuan Abraham Lin, Chen-Yu Liu, Kuan-Cheng Chen
Flood prediction is a critical challenge in the context of climate change, with significant implications for ecosystem preservation, human safety, and infrastructure protection. In…