3 papers
quant-ph2025
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…
quant-ph2025
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…
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…