189 citations · 430 across the 9 of their papers we have counts for
8 papers · 1 filter
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…
Generation of Scalable Genuine Multipartite Gaussian Entanglement with a Parametric Amplifier Network
Saesun Kim, Sho Onoe, Alberto M. Marino
Genuine multipartite entanglement is a valuable resource in quantum information science, as it exhibits stronger non-locality compared to bipartite entanglement. This non-locality…
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…
Parallel Quantum-Enhanced Sensing
Mohammadjavad Dowran, Aye L. Win, Umang Jain +4
Quantum metrology takes advantage of quantum correlations to enhance the sensitivity of sensors and measurement techniques beyond their fundamental classical limit given by the sho…
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…
Experimental generation of multiple quantum correlated beams from hot rubidium vapor
Zhongzhong Qin, Leiming Cao, Hailong Wang +3
Quantum correlations and entanglement shared among multiple quantum modes are important for both fundamental science and the future development of quantum technologies. This develo…