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20242026
most citedPhotonic probabilistic machine learning using quantum vacuum noise

3 citations · 4 across the 6 of their papers we have counts for

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6 papers

quant-ph2026

Vacuum Fluctuation-Induced State Switching in Degenerate Optical Parametric Oscillators

Yihao Huang, Seou Choi, Rom Simovitch +5

Bistable driven-dissipative systems near bifurcations can exhibit noise-activated switching between steady states. Here, we investigate how quantum vacuum fluctuations induce such…

physics.optics2025

Programmable control of the spatiotemporal quantum noise of light

Jamison Sloan, Michael Horodynski, Shiekh Zia Uddin +6

Optoelectronic systems based on multiple modes of light can often exceed the performance of their single-mode counterparts. However, multimode nonlinear interactions often introduc…

quant-ph2024

Quantum sensitivity of parametric oscillators

Alex Gu, Jamison Sloan, Charles Roques-Carmes +6

Many quantum systems exhibit high sensitivity to their initial conditions, where microscopic quantum fluctuations can significantly influence macroscopic observables. Understanding…

quant-ph2024

Observing the dynamics of quantum states generated inside nonlinear optical cavities

Seou Choi, Yannick Salamin, Charles Roques-Carmes +3

Quantum states at optical frequencies are often generated inside cavities to facilitate strong nonlinear interactions. However, measuring these quantum states with traditional homo…

physics.optics2024★ 1 cited

Stochastic logic in biased coupled photonic probabilistic bits

Michael Horodynski, Charles Roques-Carmes, Yannick Salamin +4

Optical computing often employs tailor-made hardware to implement specific algorithms, trading generality for improved performance in key aspects like speed and power efficiency. A…

physics.optics2024★ 3 cited

Photonic probabilistic machine learning using quantum vacuum noise

Seou Choi, Yannick Salamin, Charles Roques-Carmes +7

Probabilistic machine learning utilizes controllable sources of randomness to encode uncertainty and enable statistical modeling. Harnessing the pure randomness of quantum vacuum n…