3 papers
nucl-th2026
A neural network approach for two-body systems with spin and isospin degrees of freedom
Chuanxin Wang, Tomoya Naito, Jian Li +1
We propose an enhanced machine learning method to calculate the ground state of two-body systems. By extending the original method [Naito, Naito, and Hashimoto, Phys. Rev. Research…
quant-ph2025
A deep neural network approach to solve the Dirac equation
Chuanxin Wang, Tomoya Naito, Jian Li +1
We extend the method from [Naito, Naito, and Hashimoto, Phys. Rev. Research 5, 033189 (2023)] to solve the Dirac equation not only for the ground state but also for low-lying excit…
quant-ph2025
Machine Learning for Ground State Preparation via Measurement and Feedback
Chuanxin Wang, Yi-Zhuang You
We present a recurrent neural network-based approach for ground state preparation utilizing mid-circuit measurement and feedback. Unlike previous methods that use machine learning…