2 papers
quant-ph2026
Rethinking Quantum Continual Learning with Quantum Fisher Information
Yu-Chao Hsu, Yu-Cheng Lin, Tai-Yue Li +2
Quantum continual learning aims to train quantum models on sequential tasks without losing previously learned knowledge. However, variational quantum classifiers (VQCs) are prone t…
quant-ph2025
Accelerating Parameter Initialization in Quantum Chemical Simulations via LSTM-FC-VQE
Ran-Yu Chang, Yu-Cheng Lin, Pei-Che Hsu +2
We present a meta-learning framework that leverages Long Short-Term Memory (LSTM) neural networks to accelerate parameter initialization in quantum chemical simulations using the V…