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Related papers: Programmable Multifuctional Photonics ICs

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Linear light processing functions (e.g., routing, splitting, filtering) are key functions requiring configuration to implement on a programmable photonic integrated circuit (PPIC). In recirculating waveguide meshes (which include…

Emerging Technologies · Computer Science 2023-02-14 Zhengqi Gao , Xiangfeng Chen , Zhengxing Zhang , Uttara Chakraborty , Wim Bogaerts , Duane S. Boning

Random matrices are fundamental in photonic computing because of their ability to model and enhance complex light interactions and signal processing capabilities. In manipulating classical light, random operations are utilized for random…

Optics · Physics 2025-02-25 Kevin Zelaya , Mostafa Honari-Latifpour , Mohammad-Ali Miri

We develop a quantum photonic platform that interconnects a high-quality quantum dot single-photon source and a low-loss photonic integrated circuit made in silicon nitride. The platform is characterized and programmed to demonstrate…

Color centers in wide band gap semiconductors are prominent candidates for solid-state quantum technologies due to their attractive properties including optical interfacing, long coherence times, spin-photon and spin-spin entanglement, as…

Quantum Physics · Physics 2024-06-19 Sridhar Majety , Pranta Saha , Victoria A. Norman , Marina Radulaski

Integrated microwave photonic (MWP) front-ends are capable of ultra-broadband signal reception and processing. However, state-of-the-art demonstrations are limited to performing only one specific functionality at any given time, which fails…

Integrated photonic technologies are rapidly becoming an important and fundamental milestone for wideband optical telecommunications. Future optical networks have several critical requirements, including low energy consumption, high…

Photon pairs produced by the pulse-pumped nonlinear parametric processes have been a workhorse of quantum information science. Engineering the spectral property of the photon pairs is crucial in practical applications. In this article, we…

Quantum Physics · Physics 2022-01-05 Liang Cui , Jinjin Wang , Jiamin Li , Mingyi Ma , Z. Y. Ou , Xiaoying Li

The study of integrating photonic devices into astronomical instruments is the primary focus of astrophotonics. The growth in this area of study is relatively recent. Research related to astronomical spectroscopic phenomena has received a…

Instrumentation and Methods for Astrophysics · Physics 2025-07-16 Ahmed Shadman Alam

Quantum information processing has conceptually changed the way we process and transmit information. Quantum physics, which explains the strange behaviour of matter at the microscopic dimensions, has matured into a quantum technology that…

We describe how strong resonant interactions in multimode optomechanical systems can be used to induce controlled nonlinear couplings between single photons and phonons. Combined with linear mapping schemes between photons and phonons,…

Quantum Physics · Physics 2012-07-12 K. Stannigel , P. Komar , S. J. M. Habraken , S. D. Bennett , M. D. Lukin , P. Zoller , P. Rabl

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

We demonstrate an integrated photonic circuit based on feed forward photonic meshes that can be programmed and reconfigured to perform arbitrary spectral filter functions. We investigate a subset of the available filter functions,…

Topological photonics has revolutionized our understanding of light propagation, but most of current studies are focused on designing a static photonic structure. Developing a dynamic photonic topological platform to switch multiple…

Applied Physics · Physics 2021-10-04 Jian Wei You , Qian Ma , Zhihao Lan , Qiang Xiao , Nicolae C. Panoiu , Tie Jun Cui

This review explores the application of intelligent optimization algorithms to Multi-Objective Optimal Power Flow (MOPF) in enhancing modern power systems. It delves into the challenges posed by the integration of renewables, smart grids,…

Neural and Evolutionary Computing · Computer Science 2024-08-06 Yuyan Li

As photonics breaks away from today's device level toward large scale of integration and complex systems-on-a-chip, concepts like monitoring, control and stabilization of photonic integrated circuits emerge as new paradigms. Here, we show…

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

Programmable integrated photonics has emerged as a powerful platform for implementing diverse optical functions on a single chip through software-driven reconfiguration. At the core of these processors, photonic waveguide meshes enable…

Optics · Physics 2025-02-27 Cristina Catalá-Lahoz , Jose Capmany

Whilst holding great promise for low noise, ease of operation and networking, useful photonic quantum computing has been precluded by the need for beyond-state-of-the-art components, manufactured by the millions. Here we introduce a…

Quantum Physics · Physics 2024-04-29 Koen Alexander , Andrea Bahgat , Avishai Benyamini , Dylan Black , Damien Bonneau , Stanley Burgos , Ben Burridge , Geoff Campbell , Gabriel Catalano , Alex Ceballos , Chia-Ming Chang , CJ Chung , Fariba Danesh , Tom Dauer , Michael Davis , Eric Dudley , Ping Er-Xuan , Josep Fargas , Alessandro Farsi , Colleen Fenrich , Jonathan Frazer , Masaya Fukami , Yogeeswaran Ganesan , Gary Gibson , Mercedes Gimeno-Segovia , Sebastian Goeldi , Patrick Goley , Ryan Haislmaier , Sami Halimi , Paul Hansen , Sam Hardy , Jason Horng , Matthew House , Hong Hu , Mehdi Jadidi , Henrik Johansson , Thomas Jones , Vimal Kamineni , Nicholas Kelez , Ravi Koustuban , George Kovall , Peter Krogen , Nikhil Kumar , Yong Liang , Nicholas LiCausi , Dan Llewellyn , Kimberly Lokovic , Michael Lovelady , Vitor Manfrinato , Ann Melnichuk , Mario Souza , Gabriel Mendoza , Brad Moores , Shaunak Mukherjee , Joseph Munns , Francois-Xavier Musalem , Faraz Najafi , Jeremy L. O'Brien , J. Elliott Ortmann , Sunil Pai , Bryan Park , Hsuan-Tung Peng , Nicholas Penthorn , Brennan Peterson , Matt Poush , Geoff J. Pryde , Tarun Ramprasad , Gareth Ray , Angelita Rodriguez , Brian Roxworthy , Terry Rudolph , Dylan J. Saunders , Pete Shadbolt , Deesha Shah , Hyungki Shin , Jake Smith , Ben Sohn , Young-Ik Sohn , Gyeongho Son , Chris Sparrow , Matteo Staffaroni , Camille Stavrakas , Vijay Sukumaran , Davide Tamborini , Mark G. Thompson , Khanh Tran , Mark Triplet , Maryann Tung , Alexey Vert , Mihai D. Vidrighin , Ilya Vorobeichik , Peter Weigel , Mathhew Wingert , Jamie Wooding , Xinran Zhou

Large language models (LLMs) are rapidly pushing the limits of contemporary computing hardware. For example, training GPT-3 has been estimated to consume around 1300 MWh of electricity, and projections suggest future models may require…

Hardware Architecture · Computer Science 2025-05-12 Renjie Li , Wenjie Wei , Qi Xin , Xiaoli Liu , Sixuan Mao , Erik Ma , Zijian Chen , Malu Zhang , Haizhou Li , Zhaoyu Zhang

The smart grid vision is to revitalize the electric power network by leveraging the proven sensing, communication, control, and machine learning technologies to address pressing issues related to security, stability, environmental impact,…

Optimization and Control · Mathematics 2015-06-12 Georgios B. Giannakis , Vassilis Kekatos , Nikolaos Gatsis , Seung-Jun Kim , Hao Zhu , Bruce F. Wollenberg