4 papers
Metric-Topology Factorization: A Computational Framework for Hippocampal-Neocortical Intelligence
Xin Li
The paper proposes a computational framework called Metric-Topology Factorization (MTF) that explains how the hippocampus and neocortex separate topological context indexing from m…
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection
Xin Li, Zhang-Qi Yin
Learning many-body quantum states and quantum phase transitions remains a major challenge in quantum many-body physics. Classical machine learning methods offer certain advantages…
Quantum Phase Recognition via Quantum Attention Mechanism
Jin-Long Chen, Xin Li, Zhang-Qi Yin
Quantum phase transitions in many-body systems are fundamentally characterized by complex correlation structures, which pose computational challenges for conventional methods in la…
Robust and Efficient Quantum Reservoir Computing with Discrete Time Crystal
Da Zhang, Xin Li, Yibin Guo +3
The rapid development of machine learning and quantum computing has placed quantum machine learning at the forefront of research. However, existing quantum machine learning algorit…