8 papers
Measurement-Adapted Eigentask Representations for Photon-Limited Optical Readout
Tianyang Chen, Mandar M. Sohoni, Saeed A. Khan +5
Optical readout in low-light imaging is fundamentally limited by measurement noise, including photon shot noise, detector noise, and quantization error. In this regime, downstream…
A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications
Ruomin Zhu, Abhishek Kumar Singh, Jérémie Laydevant +5
Ising machines -- special-purpose hardware for heuristically solving Ising optimization problems -- based on probabilistic bits (p-bits) have been established as a promising altern…
Ultra-low-light computer vision using trained photon correlations
Mandar M. Sohoni, Jérémie Laydevant, Mathieu Ouellet +7
Illumination using correlated photon sources has been established as an approach to allowing high-fidelity images to be reconstructed from noisy camera frames by taking advantage o…
Machine vision with small numbers of detected photons per inference
Shi-Yuan Ma, Jérémie Laydevant, Mandar M. Sohoni +3
Machine vision, including object recognition and image reconstruction, is a central technology in many consumer devices and scientific instruments. The design of machine-vision sys…
Self-Contrastive Forward-Forward Algorithm
Xing Chen, Dongshu Liu, Jeremie Laydevant +1
Agents that operate autonomously benefit from lifelong learning capabilities. However, compatible training algorithms must comply with the decentralized nature of these systems, wh…
Quantum-limited stochastic optical neural networks operating at a few quanta per activation
Shi-Yuan Ma, Tianyu Wang, Jérémie Laydevant +2
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…