Photonic probabilistic machine learning using quantum vacuum noise
Probabilistic machine learning utilizes controllable sources of randomness to encode
uncertainty and enable statistical modeling. Harnessing the pure randomness of quantum …
uncertainty and enable statistical modeling. Harnessing the pure randomness of quantum …
CMOS plus stochastic nanomagnets enabling heterogeneous computers for probabilistic inference and learning
Extending Moore's law by augmenting complementary-metal-oxide semiconductor (CMOS)
transistors with emerging nanotechnologies (X) has become increasingly important. One …
transistors with emerging nanotechnologies (X) has become increasingly important. One …
Quantum-limited stochastic optical neural networks operating at a few quanta per activation
Energy efficiency in computation is ultimately limited by noise, with quantum limits setting the
fundamental noise floor. Analog physical neural networks hold promise for improved energy …
fundamental noise floor. Analog physical neural networks hold promise for improved energy …
[HTML][HTML] Quantum-noise-limited optical neural networks operating at a few quanta per activation
A practical limit to energy efficiency in computation is ultimately from noise, with quantum
noise [1] as the fundamental floor. Analog physical neural networks [2], which hold promise …
noise [1] as the fundamental floor. Analog physical neural networks [2], which hold promise …
Mesoscopic ultrafast nonlinear optics--The emergence of multimode quantum non-Gaussian physics
Over the last few decades, nonlinear optics has become significantly more nonlinear,
traversing nearly a billionfold improvement in energy efficiency, with ultrafast nonlinear …
traversing nearly a billionfold improvement in energy efficiency, with ultrafast nonlinear …
Nonlinear multi-resonant cavity quantum photonics gyroscopes quantum light navigation
We propose an on-chip all-optical gyroscope based on nonlinear multi-resonant cavity
quantum photonics in thin film $\chi^{(2)} $ resonators--Quantum-Optic Nonlinear Gyro or …
quantum photonics in thin film $\chi^{(2)} $ resonators--Quantum-Optic Nonlinear Gyro or …
Stochastic logic in biased coupled photonic probabilistic bits
Optical computing often employs tailor-made hardware to implement specific algorithms,
trading generality for improved performance in key aspects like speed and power efficiency …
trading generality for improved performance in key aspects like speed and power efficiency …
Direct design of ground-state probabilistic logic using many-body interactions for probabilistic computing
In this work, an innovative design model aimed at enhancing the efficacy of ground-state
probabilistic logic with a binary energy landscape (GSPL-BEL) is presented. This model …
probabilistic logic with a binary energy landscape (GSPL-BEL) is presented. This model …
Bayesian optimization of Fisher Information in nonlinear multiresonant quantum photonics gyroscopes
We propose an on-chip gyroscope based on nonlinear multiresonant optics in a thin film χ
(2) resonator that combines high sensitivity, compact form factor, and low power …
(2) resonator that combines high sensitivity, compact form factor, and low power …
Observing the dynamics of quantum states generated inside nonlinear optical cavities
Quantum states at optical frequencies are often generated inside cavities to facilitate strong
nonlinear interactions. However, measuring these quantum states with traditional homodyne …
nonlinear interactions. However, measuring these quantum states with traditional homodyne …