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20222025
most citedSuperconductivity from Doping Symmetric Mass Generation Insulators: Application to LaNiO under Pressure

12 citations · 15 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2025

A Quantitative Study of Sustained Focus in Large Language Models via Repetitive Deterministic Prediction Tasks

Wanda Hou, Leon Zhou, Hong-Ye Hu +3

We investigate the performance of large language models (LLMs) on repetitive deterministic prediction tasks and study how the sequence accuracy rate (SAR) scales with output length…

quant-ph2025★ 1 cited

Machine learning the effects of many quantum measurements

Wanda Hou, Samuel J. Garratt, Norhan M. Eassa +4

Measurements are essential for the processing and protection of information in quantum computers. They can also induce long-range entanglement between unmeasured qubits. However, w…

quant-ph2025

Measurement-Based Quantum Diffusion Models

Xinyu Liu, Jingze Zhuang, Wanda Hou +1

We introduce measurement-based quantum diffusion models that bridge classical and quantum diffusion theory through randomized weak measurements. The measurement-based approach natu…

cond-mat.dis-nn2024

Machine Learning Symmetry Discovery for Integrable Hamiltonian Dynamics

Wanda Hou, Molan Li, Yi-Zhuang You

We propose a data-driven Machine-Learning Symmetry Discovery (MLSD) framework for identifying continuous symmetry generators and their Lie-algebraic structure directly from phase-s…

cs.LG2023

Sequential learning on a Tensor Network Born machine with Trainable Token Embedding

Wanda Hou, Miao Li, Yi-Zhuang You

Generative models aim to learn the probability distributions underlying data, enabling the generation of new, realistic samples. Quantum inspired generative models, such as Born ma…

cond-mat.str-el2023★ 12 cited

Superconductivity from Doping Symmetric Mass Generation Insulators: Application to LaNiO under Pressure

Da-Chuan Lu, Miao Li, Zhao-Yi Zeng +4

We investigate the bilayer nickelates as a platform to realize the symmetric mass generation (SMG) insulator, a featureless Mott insulator that arises due to the Lieb-Schultz-Matti…

cond-mat.stat-mech2023

Machine Learning Renormalization Group for Statistical Physics

Wanda Hou, Yi-Zhuang You

We develop a Machine-Learning Renormalization Group (MLRG) algorithm to explore and analyze many-body lattice models in statistical physics. Using the representation learning capab…

cond-mat.str-el2022★ 2 cited

Variational Monte Carlo Study of Symmetric Mass Generation in a Bilayer Honeycomb Lattice Model

Wanda Hou, Yi-Zhuang You

We investigate a bilayer honeycomb lattice model of spin-1/2 fermions at half-filling with local Heisenberg coupling of fermion spins across the two layers. Using variational Monte…