3 citations · 3 across the 3 of their papers we have counts for
2 papers
quant-ph2026
Simulating non-Markovian open quantum dynamics by exploiting physics-informed neural network
Long Cao, Liwei Ge, Daochi Zhang +4
This work integrates the physics-informed neural network (PINN) approach into the neural quantum state framework to simulate open quantum system dynamics, to circumvent the computa…
quant-ph2022★ 3 cited
A Note on Holevo quantity of -invariant states
Yao-Kun Wang, Li-Zhu Ge, Shao-Ming Fei +1
The Holevo quantity and the -invariant states have particular importance in quantum information processing. We calculate analytically the Holevo quantity for bipartite syste…