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Related papers: Principles of Neuromorphic Photonics

200 papers

Emergent nanoscale non-volatile memory technologies with high integration density offer a promising solution to overcome the scalability limitations of CMOS-based neural networks architectures, by efficiently exhibiting the key principle of…

Hardware Architecture · Computer Science 2018-11-14 Saber Moradi , Rajit Manohar

Artificial intelligence (AI) research today is largely driven by ever-larger neural network models trained on graphics processing units (GPUs). This paradigm has yielded remarkable progress, but it also risks entrenching a hardware lottery…

Artificial Intelligence · Computer Science 2025-11-17 Bipin Rajendran , Osvaldo Simeone , Bashir M. Al-Hashimi

Radio-frequency communication systems have long used bulk- and surface-acoustic-wave devices supporting ultrasonic mechanical waves to manipulate and sense signals. These devices have greatly improved our ability to process microwaves by…

The rapid growth of brain-inspired computing coupled with the inefficiencies in the CMOS implementations of neuromrphic systems has led to intense exploration of efficient hardware implementations of the functional units of the brain,…

Emerging Technologies · Computer Science 2018-08-29 Indranil Chakraborty , Gobinda Saha , Abhronil Sengupta , Kaushik Roy

Research on neuromorphic computing is driven by the vision that we can emulate brain-like computing capability, learning capability, and energy-efficiency in novel hardware. Unfortunately, this vision has so far been pursued in a…

Neural and Evolutionary Computing · Computer Science 2023-10-26 Wolfgang Maass

Quantum technology is poised to enable a step change in human capability for computing, communications and sensing. Photons are indispensable as carriers of quantum information - they travel at the fastest possible speed and readily…

The value of brain-inspired neuromorphic computers critically depends on our ability to program them for relevant tasks. Currently, neuromorphic hardware often relies on machine learning methods adapted from deep learning. However,…

Neural and Evolutionary Computing · Computer Science 2024-10-31 Steven Abreu , Jens E. Pedersen

In recent years, quantum computing has made significant strides, particularly in light-based technology. The introduction of quantum photonic chips has ushered in an era marked by scalability, stability, and cost-effectiveness, paving the…

Quantum Physics · Physics 2024-10-02 M. AbuGhanem

Neuromorphic computing (NC) introduces a novel algorithmic paradigm representing a major shift from traditional digital computing of Von Neumann architectures. NC emulates or simulates the neural dynamics of brains in the form of Spiking…

Neural and Evolutionary Computing · Computer Science 2025-05-23 El-ghazali Talbi

Due to challenging efficiency limits facing conventional and unconventional electronic architectures, information processors based on photonics have attracted renewed interest. Research communities have yet to settle on definitive…

Optics · Physics 2022-05-19 Alexander N. Tait

Artificial Neural Networks are computational network models inspired by signal processing in the brain. These models have dramatically improved the performance of many learning tasks, including speech and object recognition. However,…

At the core of quantum photonic information processing and sensing, two major building pillarsare single-photon emitters and single-photon detectors. In this review, we systematically summarize the working theory, material platform,…

Quantum Physics · Physics 2023-07-19 Jin Chang , Jun Gao , Iman Esmaeil Zadeh , Ali W. Elshaari , Val Zwiller

Advances in silicon photonics technology have enabled the field of neuromorphic photonics, where analog neuron-like processing elements are implemented in silicon photonics technology. Accurate and scalable simulation tools for photonic…

Emerging Technologies · Computer Science 2024-01-24 Hugh Morison , Jagmeet Singh , Nayem Al Kayed , A. Aadhi , Maryam Moridsadat , Marcus Tamura , Alexander N. Tait , Bhavin J. Shastri

Underwater environments impose severe constraints on conventional imaging systems and demand solutions that balance high-quality sensing with strict resource efficiency. While emerging event cameras offer a promising alternative, their…

Computer Vision and Pattern Recognition · Computer Science 2026-05-14 Pei Zhang , Yunkai Liang , Kaiqiang Wang

The rapid growth of deep neural networks (DNNs) has exposed fundamental limitations in electronic accelerators, where data movement dominates energy consumption, commonly referred to as the memory wall. Photonic accelerators offer a…

Hardware Architecture · Computer Science 2026-05-01 Belal Jahannia , Abdolah Amirany , Hamed Dalir

We motivate a new canonical strategy for integrating photonic neural networks (NNs) by leveraging 3D printing. Our believe is that a NN's parallel and dense connectivity is not scalable without 3D integration. 3D additive fabrication…

Emerging Technologies · Computer Science 2021-03-15 Niyazi Ulas Dinc , Demetri Psaltis , Daniel Brunner

Expanding the frontiers of information processing technologies and, in particular, computing with ever increasing speed and capacity has long been recognized an important societal challenge, calling for the development of the next…

Mesoscale and Nanoscale Physics · Physics 2017-08-10 Sergey I. Bozhevolnyi , N. Asger Mortensen

The last two decades have witnessed an exponential growth and tremendous developments in wireless technologies and systems, and their associated applications. In the recent years following 2006, there has been a great surge in interest in…

Optics · Physics 2019-04-24 Mariam Moussilli , Abdul Rahman El Falou , Raed Shubair

In the present era of technology computer has facilitated the human life up to a great extent. The speed of computation has raised to astonish level but the pace of development of other technologies which have core dependency over computers…

Emerging Technologies · Computer Science 2011-08-03 Umer Farooq , M. Aqeel Iqbal