176 citations · 1.4k across the 70 of their papers we have counts for
70 papers
LLMs Interpret, Embeddings Organize, Graphs Emerge: Agent-Driven Compilation of Scientific Knowledge
Shi-Ju Ran, Kun Zhang, Xi Wu +2
Sustained scientific work requires a knowledge substrate that carries interpretation across tasks and preserves paths to source evidence. We call this process \emph{scientific know…
Interface Capacity and Architectural Replenishment Determine Entanglement-Generation Speed in Quantum Networks
Shi-Ju Ran
We show that entanglement-generation speed across a fixed network interface is governed by two distinct resources: the entangling capacity of the interface itself and the ability o…
Out-of-distribution Neural Inference in Dynamical Ising Models
Yuan-Bin Zhu, Shuang Qiao, Shi-Ju Ran
Neural networks are increasingly used to infer hidden physical structure from dynamical observations, yet it remains unclear whether their out-of-distribution performance reflects…
Geometric Prototype Learning in Quantum Hilbert Space with Matrix Product States
Kun Zhang, Lei Ding, Sheng-Chen Bai +4
Quantum probability provides a novel framework for formulating machine-learning (ML) problems in Hilbert space. We introduce a prototype-based learning scheme where class represent…
A Hamiltonian-Inspired Local-Operator Ansatz for Slimming Large Language Models
Ying Lu, Peng-Fei Zhou, Qi-Xuan Fang +3
Dense linear maps carry much of the parameter and computational burden of modern neural networks, yet their dense form leaves the organization of learned couplings implicit. Quantu…
Statistics-encoded tensor network approach in disordered quantum many-body spin chains
Hao Zhu, Ding-Zu Wang, Shi-Ju Ran +1
Simulating the dynamics of quantum many-body systems with disorder is a fundamental challenge. In this work, we propose a general approach -- the statistics-encoded tensor network…