activity
20042022
most citedElectron Correlation in Oxygen Vacancy in SrTiO

120 citations · 675 across the 25 of their papers we have counts for

collaborators

25 papers

quant-ph2022★ 24 cited

Application of Pontryagin's Maximum Principle to Quantum Metrology in Dissipative Systems

Chungwei Lin, Yanting Ma, Dries Sels

Optimal control theory, also known as Pontryagin's Maximum Principle, is applied to the quantum parameter estimation in the presence of decoherence. An efficient procedure is devis…

quant-ph2021★ 30 cited

Optimal Control for Quantum Metrology via Pontryagin's principle

Chungwei Lin, Yanting Ma, Dries Sels

Quantum metrology comprises a set of techniques and protocols that utilize quantum features for parameter estimation which can in principle outperform any procedure based on classi…

quant-ph2020★ 8 cited

Stochastic optimal control formalism for an open quantum system

Chungwei Lin, Dries Sels, Yanting Ma +1

A stochastic procedure is developed which allows one to express Pontryagin's maximum principle for dissipative quantum system solely in terms of stochastic wave functions. Time-opt…

quant-ph2020★ 28 cited

Time-optimal control of a dissipative qubit

Chungwei Lin, Dries Sels, Yebin Wang

A formalism based on Pontryagin's maximum principle is applied to determine the time-optimal protocol that drives a general initial state to a target state by a Hamiltonian with li…

quant-ph2019★ 25 cited

Application of Pontryagin's Minimum Principle to Grover's Quantum Search Problem

Chungwei Lin, Yebin Wang, Grigory Kolesov +1

Grover's algorithm is one of the most famous algorithms which explicitly demonstrates how the quantum nature can be utilized to accelerate the searching process. In this work, Grov…

physics.app-ph2018★ 17 cited

Deep Neural Network Inverse Design of Integrated Nanophotonic Devices

Mohammad H. Tahersima, Keisuke Kojima, Toshiaki Koike-Akino +4

Predicting physical response of an artificially structured material is of particular interest for scientific and engineering applications. Here we use deep learning to predict opti…