9 citations · 14 across the 10 of their papers we have counts for
11 papers
Entanglement Embezzlement from Diffusive Hydrodynamics
Shi-Xin Zhang, Shuo Liu, Yu-Qin Chen
Entanglement embezzlement asks how much entanglement can be borrowed from a many-body state by local operations and classical communication while returning that state with a small…
Entanglement Growth as Transport Across Schmidt Scales
Shi-Xin Zhang, Shuo Liu, Yu-Qin Chen
Quantum entanglement growth is commonly summarized by a single entropy, obscuring where correlations reside in the exponentially large Schmidt spectrum and how they form. Here, we…
LLM-Driven Cross-Paradigm Design for Quantum Optimal Control
Yu-Qin Chen, Shi-Xin Zhang
Quantum optimal control (QOC) underpins adiabatic quantum computation, quantum annealing, and quantum state engineering, yet practical deployment is fundamentally bottlenecked by s…
ORBIT-Q: Dual-axis benchmarking of autonomous agents in scientific quantum programming
Shi-Xin Zhang, Yu-Qin Chen
Autonomous coding agents perform well on many conventional programming tasks, but scientific computing demands a rigorous validation paradigm that extends beyond simple functional…
Quantum Subliminal Learning
Shi-Xin Zhang, Yu-Qin Chen
Machine learning models can inherit hidden behavioral traits through innocuous public interfaces, a phenomenon known as subliminal learning. Here we extend this framework to quantu…
TensorCircuit-NG: A Universal, Composable, and Scalable Platform for Quantum Computing and Quantum Simulation
Shi-Xin Zhang, Yu-Qin Chen, Weitang Li +22
We present TensorCircuit-NG, a next-generation quantum software platform designed to bridge the gap between quantum physics, artificial intelligence, and high-performance computing…
Intrinsic preservation of plasticity in continual quantum learning
Yu-Qin Chen, Shi-Xin Zhang
Artificial intelligence in dynamic, real-world environments requires the capacity for continual learning. However, standard deep learning suffers from a fundamental issue: loss of…
Superior resilience to poisoning and amenability to unlearning in quantum machine learning
Yu-Qin Chen, Shi-Xin Zhang
The reliability of artificial intelligence hinges on the integrity of its training data, a foundation often compromised by noise and corruption. Here, through a comparative study o…
Entanglement growth and information capacity in a quasiperiodic system with a single-particle mobility edge
Yuqi Qing, Yu-Qin Chen, Shi-Xin Zhang
We investigate the quantum dynamics of a one-dimensional quasiperiodic system featuring a single-particle mobility edge (SPME), described by the generalized Aubry-André (GAA) model…
Effective temperature in approximate quantum many-body states
Yu-Qin Chen, Shi-Xin Zhang
In the pursuit of numerically identifying the ground state of quantum many-body systems, approximate quantum wavefunction ansatzes are commonly employed. This study focuses on the…
Subsystem Information Capacity in Random Circuits and Hamiltonian Dynamics
Yu-Qin Chen, Shuo Liu, Shi-Xin Zhang
In this study, we explore the information capacity of open quantum systems, focusing on the effective channels formed by the subsystem of random quantum circuits and quantum Hamilt…