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Photonic neural networks (PNNs) have emerged as a promising platform to address the energy consumption issue that comes with the advancement of artificial intelligence technology, and thin film lithium niobate (TFLN) offers an attractive…

Optics · Physics 2024-02-27 Yong Zheng , Rongbo Wu , Yuan Ren , Rui Bao , Jian Liu , Yu Ma , Min Wang , Ya Cheng

Integrated visible photonic engines for solid-state quantum defects provide a foundation for scalable quantum networks. While miniaturization is advancing, active manipulation remains limited by the difficulty of achieving simultaneous…

Highly coherent optical sources are a key element in several fields of physics, in particular in time frequency metrology. Over the past decennia, there has been particular efforts in developing such sources to the expense of sophisticated…

Optics · Physics 2021-08-10 Mehdi Alouini , Gwennael Danion , Marc Vallet

A CORDIC-based configuration for the design of Activation Functions (AF) was previously suggested to accelerate ASIC hardware design for resource-constrained systems by providing functional reconfigurability. Since its introduction, this…

Hardware Architecture · Computer Science 2026-02-13 Omkar Kokane , Gopal Raut , Salim Ullah , Mukul Lokhande , Adam Teman , Akash Kumar , Santosh Kumar Vishvakarma

In this work we numerically analyze a passive photonic integrated neuromorphic accelerator based on hardware-friendly optical spectrum slicing nodes. The proposed scheme can act as a fully analogue convolutional layer, preprocessing…

Emerging Technologies · Computer Science 2023-03-21 Aris Tsirigotis , George Sarantoglou , Stavros Deligiannidis , Kostas Sozos , Adonis Bogris , Charis Mesaritakis

In the architecture of deep learning models, inspired by biological neurons, activation functions (AFs) play a pivotal role. They significantly influence the performance of artificial neural networks. By modulating the non-linear properties…

Machine Learning · Computer Science 2024-07-17 M. M. Hammad

Integrated photonic convolution processors make optical neural networks (ONNs) a transformative solution for artificial intelligence applications such as machine vision. To enhance the parallelism, throughput, and energy efficiency of ONNs,…

Optical computing could reduce the energy cost of artificial intelligence by leveraging the parallelism and propagation speed of light. However, implementing nonlinear activation, essential for machine learning, remains challenging in…

Optics · Physics 2026-01-01 Bahadır Utku Kesgin , Gülsüm Yaren Durdu , Uğur Teğin

Integrated optical devices that can realize a threshold filtration of signals are in demand in photonics. In particular, they play a key role in neuromorphic chips, acting as optical neurons. A list of requirements exist for thresholders to…

The marriage of two vibrant fields---photonics and neuromorphic processing---is fundamentally enabled by the strong analogies within the underlying physics between the dynamics of biological neurons and lasers, both of which can be…

Neurons and Cognition · Quantitative Biology 2014-07-11 Bhavin J. Shastri , Alexander N. Tait , Mitchell A. Nahmias , Paul R. Prucnal

Reconfigurable photonic devices capable of routing the flow of light enable flexible integrated-optic circuits that are not hard-wired but can be externally controlled. Analogous to free-space spatial light modulators, we demonstrate…

DSP (digital signal processing) has been widely applied in optical communication systems to mitigate signal distortions and has become one of the key technologies that have sustained data traffic growth over the past decade. However, the…

We experimentally demonstrate the realization of a half-polarization-maintaining (half-PM) fiber laser, in which mode-locking is provided by a reflective multimode-interference saturable absorber (SA). In the specially designed SA, linearly…

Optics · Physics 2022-12-28 Xuanyi Liu , Maolin Dai , Denghui Pan , Kaibin Lin , Boris A. Malomed , Qian Li , H. Y. Fu

The increasing demand for multi-wavelength optical sources to support dense wavelength-division multiplexing (DWDM) channels has driven the development of compact and reconfigurable multi-wavelength fiber lasers. Here, we demonstrate a…

Optics · Physics 2026-04-14 Subrata Manna , Amala Jose , K. Nithyanandan

The escalating energy demands of artificial intelligence pose a critical challenge to conventional computing. Leveraging the efficiency of event-driven, in-memory neuromorphic architectures into the superconducting circuits with ultra-high…

Emerging Technologies · Computer Science 2026-04-07 Muen Wang , Shucheng Yang , Yuxiang Lin , Yuntian Gao , Xue Zhang , Xiaoping Gao , Minghui Niu , Huanli Liu , Yikang Wan , Wei Peng , Jie Ren

Performing linear operations using optical devices is a crucial building block in many fields ranging from telecommunication to optical analogue computation and machine learning. For many of these applications, key requirements are…

Analog photonic links require high-fidelity, high-speed optical-to-electrical conversion for applications such as radio-over-fiber, synchronization at kilometer-scale facilities, and low-noise electronic signal generation. Photodetector…

Instrumentation and Detectors · Physics 2018-12-05 J. Davila-Rodriguez , X. Xie , J. Zang , C. J. Long , T. M. Fortier , H. Leopardi , T. Nakamura , J. C. Campbell , S. A. Diddams , F. Quinlan

Parameter regulations of narrow-linewidth fiber lasers in frequency domain has drawn considerable interests for widespread applications in the light quantum computing, precise coherent detection, and generation of micro-waves. All-optical…

Optics · Physics 2017-12-13 Yujia Li , Tao Zhu , Shihong Huang , Lei Gao , Tianyi Lan , Yulong Cao

Future quantum computation and networks require scalable monolithic circuits, which incorporate various advanced functionalities on a single physical substrate. Although substantial progress for various applications has already been…

The technologically-relevant task of feature extraction from data performed in deep-learning systems is routinely accomplished as repeated fast Fourier transforms (FFT) electronically in prevalent domain-specific architectures such as in…