3 citations · 3 across the 3 of their papers we have counts for
3 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…
stat.ML2024★ 3 cited
CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver
Zhenyu Pan, Ammar Gilani, En-Jui Kuo +1
We propose an RNN-based efficient Ising model solver, the Criticality-ordered Recurrent Mean Field (CoRMF), for forward Ising problems. In its core, a criticality-ordered spin sequ…