activity
20042022
most citedNon-Markovian reduced dynamics and entanglement evolution of two coupled spins in a quantum spin environment

101 citations · 268 across the 33 of their papers we have counts for

collaborators

33 papers

quant-ph2022

Fundamental limit of linear bosonic sensors and the Schawlow-Townes laser linewidth limit

Qi Geng, Ka-Di Zhu

In recent years, many peculiar sensors have been proposed, such as the sensors based on exceptional points, Parity-Time symmetric structures or non-reciprocal systems. It is crucia…

quant-ph2021

Proposal for constraining non-Newtonian gravity at nm range via criticality enhanced measurement of resonance frequency shift

Lei Chen, Jian Liu, Ka-di Zhu

We propose a quantum mechanical method of constraining non-Newtonian gravity at the nanometer range. In this method, a hybrid electro-optomechanical system is employed. Applying a…

quant-ph2021★ 5 cited

Proposal for measuring Newtonian constant of gravitation at an exceptional point in an optomechanical system

Lei Chen, Jian Liu, Ka-di Zhu

We develop a quantum mechanical method of measuring the Newtonian constant of gravitation, G. In this method, an optomechanical system consisting of two cavities and two membrane r…

quant-ph2021

Constraining Axion-to-Nucleon interaction via ultranarrow linewidth in the Casimir-less regime

Lei Chen, Jian Liu, Kadi Zhu

In this paper we develop a quantum optical method to detect the axion-nucleon interaction. We ultilize a levitated optomechanical system consisting of a silica nanosphere and an op…

nucl-th2021

Measurement of Neutron Lifetime and Purcell Effect

Fei He, Ka-Di Zhu

Purcell effect predicts that spontaneous radiation is not an intrinsic property of matter, but is affected by the environment in which it is located, and is the result of the inter…

cond-mat.dis-nn2021★ 4 cited

Machine Learning Percolation Model

Shu Cheng, Fei He, Huai Zhang +2

Recent advances in machine learning have become increasingly popular in the applications of phase transitions and critical phenomena. By machine learning approaches, we try to iden…