5 papers
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…
Lattice-quantile estimation of Ï 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…
Quantum Magic in early FTQC: From Diagonal Clifford Hierarchy No-Go Theorems to Architecture Design Blueprints
Hsueh-Hao Lu, Yasunari Suzuki, Yasunobu Nakamura +1
We address the circuit-design problem of maximizing quantum magic in early fault-tolerant quantum computing (early FTQC), where logical dynamics natively take the form of alternati…
Unsupervised Feature Extraction and Reconstruction Using Parameterized Quantum Circuits
Li-An Lo, Li-Yi Hsu, En-Jui Kuo
Autoencoders are fundamental tools in classical computing for unsupervised feature extraction, dimensionality reduction, and generative learning. The Quantum Autoencoder (QAE), int…