collaborators

6 papers

physics.chem-ph2026

An Iterative Dual-Channel Neural Quantum State Algorithm for Selected Configuration Interaction

Jen-Yu Chang, Yi-Chun Chang, Yu-Jui Lin +6

Accurately solving the electronic Schrödinger equation for strongly correlated systems remains a central challenge in quantum chemistry, where the exponential growth of configurat…

quant-ph2026

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…

quant-ph2026

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…

quant-ph2026

Scalable Quantum Molecular Generation via GPU-Accelerated Tensor-Network Simulation

Yu-Cheng Xiao, Jen-Yu Chang, Tzu-Ling Kuo +7

We propose Scalable Quantum Molecular Generation (SQMG), a variational quantum-circuit for sampling molecular graphs using chemical priors on atoms and bonds. SQMG assigns a fixed…

quant-ph2026

Quantum Parrondo Paradox via a Single Phase Defect Symmetry Breaking and Directed Transport

Jen-Yu Chang, Yun-Hsuan Chen, Gooi Zi Liang +2

Parrondo paradox describes the counterintuitive phenomenon in which alternating two individually losing games yields a winning outcome. Extending this effect to the quantum regime…

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)…