7 citations · 17 across the 6 of their papers we have counts for
6 papers
Squeezing-Enhanced Photon-Number Measurements for GKP State Generation
Paul Renault, Patrick Yard, Raphael Pooser +1
We present an architecture for the generation of GKP states in which quadrature squeezing operations are used to control the average photon number statistics of probabilistic photo…
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…
End-to-end switchless architecture for fault-tolerant photonic quantum computing
Paul Renault, Patrick Yard, Raphael C. Pooser +2
Photonics represents one of the most promising approaches to large-scale quantum computation with millions of qubits and billions of gates, owing to the potential for room-temperat…
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…
Quantum Sensors for High Energy Physics
Aaron Chou, Kent Irwin, Reina H. Maruyama +39
Strong motivation for investing in quantum sensing arises from the need to investigate phenomena that are very weakly coupled to the matter and fields well described by the Standar…
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…