12 citations · 18 across the 6 of their papers we have counts for
5 papers · 1 filter
Optimal Gaussian networks for private distributed quantum sensing
Hanbom Yoo, Byeongyun Yang, Hyunwoo Yoo +1
Private distributed quantum sensing aims to estimate an authorized collective parameter while preventing independent estimation of individual local parameters. Here, we analyticall…
Time-Multiplexed Distributed Quantum Sensing
Hanbom Yoo, Hyukgun Kwon, Seongjin Hong
Quantum metrology enables parameter estimation beyond classical limits by exploiting nonclassical resources such as squeezing and entanglement. In distributed quantum sensing, Heis…
Variational optical phase learning on a continuous-variable quantum compiler
Matthew A. Feldman, Tyler Volkoff, Seongjin Hong +5
Quantum process learning is a fundamental primitive that draws inspiration from machine learning with the goal of better studying the dynamics of quantum systems. One approach to q…
Quantum enhanced distributed phase sensing with a truncated SU(1,1) interferometer
Seongjin Hong, Matthew A. Feldman, Claire E. Marvinney +5
In recent years, distributed quantum sensing has gained interest for a range of applications requiring networks of sensors, from global-scale clock synchronization to high energy p…
Combining quantum noise reduction resources: a practical approach
Sohitri Ghosh, Matthew A. Feldman, Seongjin Hong +4
Optomechanical sensors are capable of transducing external perturbations to resolvable optical signals. A particular regime of interest is that of high-bandwidth force detection, w…