Intelligent optoelectronic processor for orbital angular momentum spectrum measurement
Orbital angular momentum (OAM) detection underpins almost all aspects of vortex beams'
advances such as communication and quantum analogy. Conventional schemes are …
advances such as communication and quantum analogy. Conventional schemes are …
[HTML][HTML] Class-specific differential detection in diffractive optical neural networks improves inference accuracy
Optical computing provides unique opportunities in terms of parallelization, scalability,
power efficiency, and computational speed and has attracted major interest for machine …
power efficiency, and computational speed and has attracted major interest for machine …
Misalignment resilient diffractive optical networks
As an optical machine learning framework, Diffractive Deep Neural Networks (D2NN) take
advantage of data-driven training methods used in deep learning to devise light–matter …
advantage of data-driven training methods used in deep learning to devise light–matter …
Data‐class‐specific all‐optical transformations and encryption
Diffractive optical networks provide rich opportunities for visual computing tasks. Here, data‐
class‐specific transformations that are all‐optically performed between the input and output …
class‐specific transformations that are all‐optically performed between the input and output …
Matrix diffractive deep neural networks merging polarization into meta‐devices
Y Wang, A Yu, Y Cheng, J Qi - Laser & Photonics Reviews, 2024 - Wiley Online Library
The all‐optical diffractive deep neural networks (D2NNs) framework as a hardware platform
is demonstrated to implement various advanced functional meta‐devices with high …
is demonstrated to implement various advanced functional meta‐devices with high …
Computer-free, all-optical reconstruction of holograms using diffractive networks
MS Sakib Rahman, A Ozcan - ACS Photonics, 2021 - ACS Publications
Reconstruction of inline holograms of unknown objects in general suffers from twin-image
artifacts due to the appearance of an out-of-focus image overlapping with the desired image …
artifacts due to the appearance of an out-of-focus image overlapping with the desired image …
Scale-, shift-, and rotation-invariant diffractive optical networks
Recent research efforts in optical computing have gravitated toward developing optical
neural networks that aim to benefit from the processing speed and parallelism of …
neural networks that aim to benefit from the processing speed and parallelism of …
Super-resolution image display using diffractive decoders
High-resolution image projection over a large field of view (FOV) is hindered by the
restricted space-bandwidth product (SBP) of wavefront modulators. We report a deep …
restricted space-bandwidth product (SBP) of wavefront modulators. We report a deep …
At the intersection of optics and deep learning: statistical inference, computing, and inverse design
Deep learning has been revolutionizing information processing in many fields of science
and engineering owing to the massively growing amounts of data and the advances in deep …
and engineering owing to the massively growing amounts of data and the advances in deep …
Diffractive optical computing in free space
Structured optical materials create new computing paradigms using photons, with
transformative impact on various fields, including machine learning, computer vision …
transformative impact on various fields, including machine learning, computer vision …