5 citations · 5 across the 2 of their papers we have counts for
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quant-ph2025
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…
quant-ph2024★ 5 cited
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…