273 citations · 578 across the 7 of their papers we have counts for
9 papers
Radio-Frequency Convolutional Neural Networks
Zhihui Gao, Shi-Yuan Ma, Yiran Chen +2
Running artificial intelligence (AI) models directly on edge devices such as smartphones, wearables, and drones offers low latency, pervasive scalability, and data privacy, but the…
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…
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…
Large-scale quantum reservoir computing using a Gaussian Boson Sampler
Valeria Cimini, Mandar M. Sohoni, Federico Presutti +7
A Gaussian boson sampler (GBS) is a special-purpose quantum computer that can be practically realized at large scale in optics. Here we report on experiments in which we used a fre…
Tunable spectral correlations of highly multimode visible light via broadband quantum frequency conversion
Federico Presutti, Logan G. Wright, Shi-Yuan Ma +4
Multimode squeezed states of light are a resource for achieving quantum advantage in computing and sensing, where spatial or temporal modes have been the experimental norm. In our…
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…
Optical Transformers
Maxwell G. Anderson, Shi-Yuan Ma, Tianyu Wang +2
The rapidly increasing size of deep-learning models has caused renewed and growing interest in alternatives to digital computers to dramatically reduce the energy cost of running s…
Image sensing with multilayer, nonlinear optical neural networks
Tianyu Wang, Mandar M. Sohoni, Logan G. Wright +5
Optical imaging is commonly used for both scientific and technological applications across industry and academia. In image sensing, a measurement, such as of an object's position,…
An optical neural network using less than 1 photon per multiplication
Tianyu Wang, Shi-Yuan Ma, Logan G. Wright +3
Deep learning has rapidly become a widespread tool in both scientific and commercial endeavors. Milestones of deep learning exceeding human performance have been achieved for a gro…