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SymbolFit: Automatic Parametric Modeling with Symbolic Regression

Autor: Tsoi, Ho Fung, Rankin, Dylan, Caillol, Cecile, Cranmer, Miles, Dasu, Sridhara, Duarte, Javier, Harris, Philip, Lipeles, Elliot, Loncar, Vladimir

We introduce SymbolFit, a framework that automates parametric modeling by using symbolic regression to perform a machine-search for functions that fit the data, while simultaneously providing uncertainty estimates in a single run. Traditionally, cons

Externí odkaz: http://arxiv.org/abs/2411.09851

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Integrated electro-optic digital-to-analog link for efficient computing and arbitrary waveform generation

Autor: Song, Yunxiang, Hu, Yaowen, Zhu, Xinrui, Powell, Keith, Magalhães, Letícia, Ye, Fan, Warner, Hana, Lu, Shengyuan, Li, Xudong, Renaud, Dylan, Lippok, Norman, Zhu, Di, Vakoc, Benjamin, Zhang, Mian, Sinclair, Neil, Lončar, Marko

The rapid growth in artificial intelligence and modern communication systems demands innovative solutions for increased computational power and advanced signaling capabilities. Integrated photonics, leveraging the analog nature of electromagnetic wav

Externí odkaz: http://arxiv.org/abs/2411.04395

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Integrated lithium niobate photonic computing circuit based on efficient and high-speed electro-optic conversion

Here we show a photonic computing accelerator utilizing a system-level thin-film lithium niobate circuit which overcomes this limitation. Leveraging the strong electro-optic (Pockels) effect and the scalability of this platform, we demonstrate photon

Externí odkaz: http://arxiv.org/abs/2411.02734

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Large-area photonic circuits for terahertz detection and beam profiling

Autor: Tomasino, A., Shams-Ansari, A, Lončar, M., Benea-Chelmus, I. -C.

Deployment of terahertz communication and spectroscopy systems relies on the availability of low-noise and fast detectors, with plug-and-play capabilities. However, most currently available technologies are stand-alone, discrete components, either sl

Externí odkaz: http://arxiv.org/abs/2410.20407

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Low Latency Transformer Inference on FPGAs for Physics Applications with hls4ml

Autor: Jiang, Zhixing, Yin, Dennis, Chen, Yihui, Khoda, Elham E, Hauck, Scott, Hsu, Shih-Chieh, Govorkova, Ekaterina, Harris, Philip, Loncar, Vladimir, Moreno, Eric A.

This study presents an efficient implementation of transformer architectures in Field-Programmable Gate Arrays(FPGAs) using hls4ml. We demonstrate the strategy for implementing the multi-head attention, softmax, and normalization layer and evaluate t

Externí odkaz: http://arxiv.org/abs/2409.05207

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