9 papers
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…
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…
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…
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) mode…
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…