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Microring resonators are critical photonic components used in filtering, sensing and nonlinear applications. To date, the development of high performance microring resonators in LNOI has been limited by the sidewall angle, roughness and…

Applied Physics · Physics 2018-12-03 Inna Krasnokutska , Jean-Luc J. Tambasco , Alberto Peruzzo

Sensing in non-line-of-sight (NLOS) is one of the major challenges for integrated sensing and communication systems. Existing countermeasures for NLOS either use prior knowledge on the environment to characterize all the multiple bounces or…

Signal Processing · Electrical Eng. & Systems 2025-11-20 Davide Tornielli Bellini , Dario Tagliaferri , Pietro Grassi , Davide Scazzoli , Stefano Tebaldini , Umberto Spagnolini

Lithium niobate (LN), dubbed by many as the silicon of photonics, has recently risen to the forefront of chip-scale nonlinear optics research since its demonstration as an ultralow-loss integrated photonics platform. Due to its significant…

Two-directional beam-tracking (2DBT) is a method for phase-contrast imaging and tomography that uses an intensity modulator to structure the X-ray beam into an array of independent circular beamlets that are resolved by a high-resolution…

Integrated lithium niobate (LN) photonics is a promising platform for future chip-scale microwave photonics systems owing to its unique electro-optic properties, low optical loss and excellent scalability. A key enabler for such systems is…

Optics · Physics 2022-10-28 Hanke Feng , Ke Zhang , Wenzhao Sun , Yangming Ren , Yiwen Zhang , Wenfu Zhang , Cheng Wang

We present an analytical theory of second harmonic generation (SHG) in hybrid structures combining a nonlinear 2D crystal with a dielectric metasurface waveguide. The theory describes the excitation spectrum and enhancement of SHG at both…

Optics · Physics 2025-11-07 Egor S. Vyatkin , Sergey A. Tarasenko

Neuromorphic computing implementing spiking neural networks (SNN) is a promising technology for reducing the footprint of optical transceivers, as required by the fast-paced growth of data center traffic. In this work, an SNN nonlinear…

Neuromorphic photonics that aims to process and store information simultaneously like human brains has emerged as a promising alternative for the next generation intelligent computing systems. The implementation of hardware emulating the…

Optics · Physics 2023-07-19 Jinlong Xiang , Xuhan Guo , Yikai Su

We propose a new interferometer technique for high precision phase measurements such as those in gravitational wave detection. The technique utilizes a pair of optically coupled resonators that provides identical resonance conditions for…

Quantum Physics · Physics 2007-07-04 Andre Thuering , Roman Schnabel , Harald Lueck , Karsten Danzmann

Digital twin (DT) is a core enabler of sixth generation (6G) mobile systems. As a prerequisite for DT, scatterer geometric reconstruction (SGR) in propagation environments is essential but typically requires extra sensors such as cameras…

Signal Processing · Electrical Eng. & Systems 2025-10-21 Yubin Luo , Li Yu , Tao Wu , Yuxiang Zhang , Jianhua Zhang

Reinforcement learning (RL) is a core technology enabling the transition of artificial intelligence (AI) from perception to decision-making, but its deployment on conventional electronic hardware suffers from high latency and energy…

Microwave frequency acousto-optic modulation is realized by exciting high overtone bulk acoustic wave resonances (HBAR resonances) in the photonic stack. These confined mechanical stress waves transmit exhibit vertically transmitting, high…

Optical interconnects are the most promising solution to address the data-movement bottleneck in data centers. Silicon microdisks, benefiting from their compact footprint, low energy consumption, and wavelength division multiplexing (WDM)…

Optics · Physics 2025-10-28 Chao Luan , Alex Sludds , Chao Li , Ian Christen , Ryan Hamerly , Dirk Englund

Neural networks are one of the first major milestones in developing artificial intelligence systems. The utilisation of integrated photonics in neural networks offers a promising alternative approach to microelectronic and hybrid…

Photonic systems for high-performance information processing have attracted renewed interest. Neuromorphic silicon photonics has the potential to integrate processing functions that vastly exceed the capabilities of electronics. We report…

Neurons and Cognition · Quantitative Biology 2017-11-17 Alexander N. Tait , Thomas Ferreira de Lima , Ellen Zhou , Allie X. Wu , Mitchell A. Nahmias , Bhavin J. Shastri , Paul R. Prucnal

In this work we present an ultra low energy, 'on-sensor' image processing architecture, based on cellular array of spin based neurons. The 'neuron' constitutes of a lateral spin valve (LSV) with multiple input magnets, connected to an…

Disordered Systems and Neural Networks · Physics 2016-11-15 Mrigank Sharad , Charles Augustine , Georgios Panagopoulos , Kaushik Roy

Photonic integration, advanced functionality, reconfigurability, and high RF performance are key features in integrated microwave photonic systems that are still difficult to achieve simultaneously. In this work, we demonstrate an…

Applied Physics · Physics 2023-03-01 Gaojian Liu , Kaixuan Ye , Okky Daulay , Qinggui Tan , Hongxi Yu , David Marpaung

High-resolution (HR) solar imaging is crucial for capturing fine-scale dynamic features such as filaments and fibrils. However, the spatial resolution of the full-disk H$\alpha$ images is limited and insufficient to resolve these…

Computer Vision and Pattern Recognition · Computer Science 2025-10-09 Chenyang Li , Qin Li , Haimin Wang , Bo Shen

The use of spin waves as a signal carrier requires developing the functional elements allowing for multiplexing and demultiplexing information coded at different wavelengths. For this purpose, we propose a system of thin ferromagnetic…

Mesoscale and Nanoscale Physics · Physics 2021-05-25 Pierre Roberjot , Krzysztof Szulc , Jarosław W. Kłos , Maciej Krawczyk

Photonic microring resonators are used in a variety of chip-integrated sensing applications where they allow one to measure transmission intensity changes upon external signals with a sensitivity that scales linearly with the Q factor. In…