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Materials with unusual optical properties are central to advanced control of light. Yet, in nature, such materials may be exceedingly rare and often difficult to obtain. To overcome this limitation, here we introduce the concept of temporal…

光学 · 物理学 2026-05-19 Grigorii Ptitcyn , Diego M. Solís , M. S. Mirmoosa , Nader Engheta

While deep learning surpasses human-level performance in narrow and specific vision tasks, it is fragile and over-confident in classification. For example, minor transformations in perspective, illumination, or object deformation in the…

计算机视觉与模式识别 · 计算机科学 2022-03-15 Maryam Daniali , Edward Kim

Time-varying media, characterized by dynamic or spacetime-modulated constitutive parameters such as permittivity and permeability, have recently emerged as a transformative paradigm for advanced wave control, transcending the constraints…

光学 · 物理学 2026-04-20 Youxiu Yu , Hao Hu , Qianru Yang , Linyang Zou , Dongjue Liu , Hao Chi Zhang , Yu Luo

The performance of autonomous systems heavily relies on their ability to generate a robust representation of the environment. Deep neural networks have greatly improved vision-based perception systems but still fail in challenging…

计算机视觉与模式识别 · 计算机科学 2018-10-16 Jörg Wagner , Volker Fischer , Michael Herman , Sven Behnke

Parametrically modulated optomechanical systems have been recently proposed as a simple and efficient setting for the quantum control of a micromechanical oscillator: relevant possibilities include the generation of squeezing in the…

量子物理 · 物理学 2012-07-18 Alessandro Farace , Vittorio GIovannetti

We review the concepts of temporal modes (TMs) in quantum optics, highlighting Roy Glauber's crucial and historic contributions to their development, and their growing importance in quantum information science. TMs are orthogonal sets of…

量子物理 · 物理学 2020-04-22 Michael G. Raymer , Ian A. Walmsley

Traditional vision-based autonomous driving systems often face difficulties in navigating complex environments when relying solely on single-image inputs. To overcome this limitation, incorporating temporal data such as past image frames or…

计算机视觉与模式识别 · 计算机科学 2025-07-01 Tuong Do , Binh X. Nguyen , Quang D. Tran , Erman Tjiputra , Te-Chuan Chiu , Anh Nguyen

The diffusion model has gained popularity in vision applications due to its remarkable generative performance and versatility. However, high storage and computation demands, resulting from the model size and iterative generation, hinder its…

计算机视觉与模式识别 · 计算机科学 2023-12-12 Junhyuk So , Jungwon Lee , Daehyun Ahn , Hyungjun Kim , Eunhyeok Park

Increasing the information capacity of communication channels is a pressing need, driven by growing data demands and the consequent impending data crunch with existing modulation schemes. In this regard, mode division multiplexing (MDM),…

Time-varying media have recently emerged as a new paradigm for wave manipulation, thanks to thesynergy between the discovery of novel, highly nonlinear materials, such as epsilon-near-zero materials, and the questfor novel wave…

In this paper, a novel time-based modulation scheme is proposed in the time-asynchronous channel for diffusion-based molecular communication systems with drift. Based on this modulation scheme, we demonstrate that the sample variance of…

信息论 · 计算机科学 2019-05-31 Qingchao Li

Solutions for scalable, high-performance optical control are important for the development of scaled atom-based quantum technologies. Modulation of many individual optical beams is central to the application of arbitrary gate and control…

Phase is a fundamental resource for optical imaging but cannot be directly observed with intensity measurements. The existing methods to quantify a phase distribution rely on complex devices and structures. Here we experimentally…

光学 · 物理学 2020-03-25 Tengfeng Zhu , Junyi Huang , Zhichao Ruan

Time series forecasting plays a crucial role in decision-making across various domains, but it presents significant challenges. Recent studies have explored image-driven approaches using computer vision models to address these challenges,…

计算机视觉与模式识别 · 计算机科学 2024-03-19 Zhen Zeng , Rachneet Kaur , Suchetha Siddagangappa , Tucker Balch , Manuela Veloso

A new frontier in optics research has been opened by the recent developments in non-perturbative optical modulation in both time and space that creates temporal boundaries generating ``time-reflection'' and ``time-refraction'' of light in…

光学 · 物理学 2023-10-25 Evgenii E. Narimanov

We introduce a new direction in the field of atom optics, atom interferometry, and neutral-atom quantum information processing. It is based on the use of microfabricated optical elements. With these elements versatile and integrated atom…

量子物理 · 物理学 2009-11-06 G. Birkl , F. B. J. Buchkremer , R. Dumke , W. Ertmer

Prosthetic vision is being applied to partially recover the retinal stimulation of visually impaired people. However, the phosphenic images produced by the implants have very limited information bandwidth due to the poor resolution and lack…

计算机视觉与模式识别 · 计算机科学 2025-01-30 Melani Sanchez-Garcia , Ruben Martinez-Cantin , Jose J. Guerrero

We consider a hybrid atom-optomechanical system incorporating N identical $\Lambda$-type atoms. The system is subjected to dual optical and phononic drives. We show that by exploiting the optomechanical linear and quadratic interactions,…

量子物理 · 物理学 2022-08-09 M. Hunza , M. Asjad , T. Abbas , M. Qasymeh , B. Teklu , H. Eleuch

We consider a quantum emitter ("atom") radiating in a one-dimensional (1D) photonic waveguide in the presence of a single mirror, resulting in a delay differential equation for the atomic amplitude. We carry out a systematic analysis of the…

量子物理 · 物理学 2014-09-03 Tommaso Tufarelli , M. S. Kim , Francesco Ciccarello

Understanding temporal information and how the visual world changes over time is a fundamental ability of intelligent systems. In video understanding, temporal information is at the core of many current challenges, including compression,…

计算机视觉与模式识别 · 计算机科学 2019-10-31 Laura Sevilla-Lara , Shengxin Zha , Zhicheng Yan , Vedanuj Goswami , Matt Feiszli , Lorenzo Torresani
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