4 papers · 1 filter
Lattice-quantile estimation of π and convex-region integrals from coined two-dimensional quantum walks
Jen-Yu Chang, En-Jui Kuo, Chih-Yu Chen +1
Monte Carlo integration is fundamentally limited by the M^(-1/2) rate that the Cramer-Rao bound imposes on any sample-mean estimator of an expectation value, regardless of how the…
Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery
Huan-Ming Chang, Jen-Yu Chang, Tsung-Wei Huang +1
The discovery of novel crystalline materials is a critical challenge in computational materials science, often limited by the spatial representation limitations and mode collapse t…
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)…
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…