4 papers · 1 filter
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…
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…
Improve Variational Quantum Eigensolver by Many-Body Localization
Li Xin, Zhang-qi Yin
Variational quantum algorithms have been widely demonstrated in both experimental and theoretical contexts to have extensive applications in quantum simulation, optimization, and m…