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In a wide range of quantum technology applications, ranging from atomic clocks to the creation of ultracold or quantum degenerate samples for atom interferometry, optimal laser sources are critical. In particular, two phase-locked laser…

Atomic Physics · Physics 2026-05-06 Nicola Agnew , David Lowit , Aidan S. Arnold

Fluid reconfigurable intelligent surfaces (FRIS) enable joint position and phase reconfigurability by integrating fluid antennas (FA) with conventional reconfigurable intelligent surfaces (RIS). In this paper, we propose a novel FRIS-based…

Information Theory · Computer Science 2026-03-13 Peng Zhang , Jian Dang , Miaowen Wen , Ziyang Liu , Kai-Kit Wong , Chen Zhao , Huaifeng Shi , Zaichen Zhang

Metafibers expand the functionalities of conventional optical fibers to unprecedented nanoscale light manipulations by integrating metasurfaces on the fiber tips, becoming an emerging light-coupling platform for both nanoscience and fiber…

The rapidly maturing integrated Kerr microcombs show significant potential for microwave photonics. Yet, state-of-the-art microcomb based radiofrequency (RF) filters have required programmable pulse shapers, which inevitably increase the…

Intelligent spectroscopy serves as a pivotal element in AI-driven closed-loop scientific discovery, functioning as the critical bridge between matter structure and artificial intelligence. However, conventional expert-dependent spectral…

In this work, the spectral evolution properties in single-frequency Raman fiber amplifier (RFA) with different pump manners are analyzed theoretically for the first time based on the gain dynamics. The analysis of gain dynamics reveals that…

Optics · Physics 2017-07-26 Liu Wei , Ma Pengfei , Miao Yu , Zhou Pu , Wu Hanshuo , Jiang Zongfu

We present a technique for simultaneous power-combining and wavelength-conversion of multiple fiber lasers into a single, lower wavelength in a different band through Raman-based, nonlinear power combining. We illustrate this by power…

Optics · Physics 2018-04-05 Santosh Aparanji , V. Balaswamy , S. Arun , V. R. Supradeepa

We explore artificial neural networks as a tool for the reconstruction of spectral functions from imaginary time Green's functions, a classic ill-conditioned inverse problem. Our ansatz is based on a supervised learning framework in which…

This paper introduces an innovative imaging method using reconfigurable intelligent surfaces (RISs) by combining radar coincidence imaging (RCI) and computational imaging techniques. In the proposed framework, RISs simultaneously redirect…

Signal Processing · Electrical Eng. & Systems 2025-07-11 Kavian Zirak , Mohammadreza F. Imani

Er-doped random fiber laser (ERFL) is a complex physical system, and understanding its intrinsic physical mechanisms is crucial for promoting applications. In this paper, we experimentally investigate the time-domain statistical properties…

Kilowatt-level high efficiency all-fiberized Raman fiber amplifier based on pure passive fiber is proposed for the first time in this paper. The laser system is established on master oscillator power amplification configuration while a…

Optics · Physics 2018-11-15 Yizhu Chen , Jinyong Leng , Hu Xiao , Tianfu Yao , Pu Zhou

Random lasing exploits multiple scattering to provide optical feedback without conventional resonant cavities, enabling simplified architectures that are readily integrated into compact photonic platforms such as wearable sensors and…

Nonlinear optical processing of ambient natural light is highly desired in computational imaging and sensing applications. A strong optical nonlinear response that can work under weak broadband incoherent light is essential for this…

The homogenization of light is widely applied in various industrial sectors. The uniform high power processing of large areas requires a high degree of homogeneity. Sophisticated beam transformation techniques are used to optimize the…

As a rapidly emerging interdisciplinary field that intrinsically integrates microwave and photonics, microwave photonics (MWP) provides disruptive solutions to overcome the fundamental bandwidth of conventional electronic systems. By…

Optics · Physics 2026-05-21 Peng Li , Xihua Zou , Jia Ye , Wei Pan , Lianshan Yan

The prediction of solar flares is of practical and scientific interest; however, many machine learning methods used for this prediction task do not provide the physical explanations behind a model's performance. We made use of two recently…

Solar and Stellar Astrophysics · Physics 2023-03-08 Brandon Panos , Lucia Kleint , Jonas Zbinden

Pansharpening aims to combine a high-resolution panchromatic (PAN) image with a low-resolution multispectral (LRMS) image to produce a high-resolution multispectral (HRMS) image. Although pansharpening in the frequency domain offers clear…

Image and Video Processing · Electrical Eng. & Systems 2025-02-10 Jie Huang , Rui Huang , Jinghao Xu , Siran Pen , Yule Duan , Liangjian Deng

Structured light is a key component of many modern applications, ranging from superresolution microscopy to imaging, sensing, and quantum information processing. As the utilization of these powerful tools continues to spread, the demand for…

Reconfigurable intelligent surface (RIS) has become a promising technology for enhancing the reliability of wireless communications, which is capable of reflecting the desired signals through appropriate phase shifts. However, the intended…

Signal Processing · Electrical Eng. & Systems 2021-03-03 Bo Yang , Xuelin Cao , Chongwen Huang , Chau Yuen , Lijun Qian , Marco Di Renzo

Focusing light through dynamically varying heterogeneous media is a sought-after goal with important applications ranging from free-space communication to nano-surgery. The underlying challenge is to control the optical wavefront with a…