2 papers
quant-ph2026
Meta-Learning for GPU-Accelerated Quantum Many-Body Problems
Yun-Hsuan Chen, Jen-Yu Chang, Tsung-Wei Huang +1
We explore the industrial and scientific applicability of the VQE-LSTM framework by integrating meta-learning with GPU accelerated quantum simulation using NVIDIA's CUDA-Q (CUDAQ)…
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…