Peer ReviewDOI
Computation at the speed of light: metamaterials for all-optical calculations and neural networks
TLDR
In this article , the physical implementation of basic optical calculations, such as differentiation and integration, using metamaterials, and the realization of all-optical artificial neural networks are reviewed.Abstract:
Abstract. The explosion in the amount of information that is being processed is prompting the need for new computing systems beyond existing electronic computers. Photonic computing is emerging as an attractive alternative due to performing calculations at the speed of light, the change for massive parallelism, and also extremely low energy consumption. We review the physical implementation of basic optical calculations, such as differentiation and integration, using metamaterials, and introduce the realization of all-optical artificial neural networks. We start with concise introductions of the mathematical principles behind such optical computation methods and present the advantages, current problems that need to be overcome, and the potential future directions in the field. We expect that our review will be useful for both novice and experienced researchers in the field of all-optical computing platforms using metamaterials.read more
Citations
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Journal ArticleDOI
Optofluidic memory and self-induced nonlinear optical phase change for reservoir computing in silicon photonics.
Arbitrary structured quantum emission with a multifunctional imaging metalens
Chi Li,Jaehyuck Jang,Trevon Badloe,Tieshan Yang,Joo-Suc Kim,Jaekyung Kim,Minh Nguyen,Stefan A. Maier,Junsuk Rho,Haoran Ren,Igor Aharonovich +10 more
TL;DR: In this paper , an ultrathin polarisation-beam-splitting metalens is proposed for the arbitrary structuring of quantum emission at room temperature. But the design of the metalens requires the use of multiple bulky optical elements or nanostructured resonators with limited functionalities, constraining the potential of multi-dimensional tailoring.
Journal ArticleDOI
Polarization-Dependent Metasurface Enables Near-Infrared Dual-Modal Single-Pixel Sensing
TL;DR: In this article , a dual-modal device based on a well-designed metasurface was proposed to enable near-infrared bright-field and edge-enhanced single-pixel imaging.
Topological nature of non-Hermitian degenerate bands in structural parameter space
TL;DR: In this paper , the authors show that band degeneracy corresponds to polarization-independent transmission, which can be harnessed for nonlocal metasurface design, and they find that the band degeneration manifests as a topological singularity in the structural parameter space of the system.
References
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Proceedings ArticleDOI
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Journal ArticleDOI
Deep learning with coherent nanophotonic circuits
TL;DR: A new architecture for a fully optical neural network is demonstrated that enables a computational speed enhancement of at least two orders of magnitude and three order of magnitude in power efficiency over state-of-the-art electronics.
Posted Content
Coding Metamaterials, Digital Metamaterials and Programming Metamaterials
TL;DR: In this paper, Wu et al. proposed a digital metamaterial with two kinds of unit cells with 0 and π phase responses, which they named as "0" and "1" elements.
Journal ArticleDOI
All-optical machine learning using diffractive deep neural networks
TL;DR: 3D-printed D2NNs are created that implement classification of images of handwritten digits and fashion products, as well as the function of an imaging lens at a terahertz spectrum.