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esQueranto:用于自动化科学发现的可微分结构化量子光

esQueranto: Differentiable Structured Quantum Light for Automated Scientific Discovery

Marcello Armezzani, Tareq Jaouni, Pontus Lindgren, Sören Arlt, Mario Krenn, Xuemei Gu

arXiv 2610.00750首次发表:更新:

发表机构

University of Tübingen; Feyer, Tübingen, Germany; Nexus for Quantum Technologies, University of Ottawa, Canada; Friedrich-Schiller-Universität Jena(蒂宾根大学; Feyer; 渥太华大学量子技术中心; 耶拿弗里德里希·席勒大学)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

esQueranto是一个基于JAX的可微分模拟器,统一了光子数量子光学与结构化光传播,实现自动化科学发现,支持优化与自动搜索,迈向物理基础模拟器。

AI 中文摘要

揭示自然界中的新现象需要实验。几个世纪以来,实验设计一直是人类独有的工作。如今,一种新的范式正在兴起,其中人工智能和计算方法可以自行设计实验。实现这种自动化科学发现形式需要模拟器具有足够的表达能力,以表示各种物理过程和耦合,从而可以构建新的实验。在这一方向上,我们引入了\ extsc{esQueranto},一个可微分的软件,它将光子数量子光学和结构化光传播统一到一个共同的描述中,使得光的空间演化能够直接影响非经典量子态及其干涉。\ extsc{esQueranto}在JAX中实现,提供自动微分和硬件加速评估,用于优化和自动搜索。我们在广泛的量子光学应用中展示了该框架,这些应用锻炼了其物理描述的互补方面。通过将量子物理和结构化光物理结合在一个单一的可微分模拟器中,\ extsc{esQueranto}朝着物理学中基础模拟器的梦想迈出了重要一步。

英文摘要

Uncovering new phenomena in nature requires experiments. For centuries, their design has been exclusively a human endeavor. Today, a new paradigm is emerging in which artificial intelligence and computational methods can design experiments themselves. Realizing this form of automated scientific discovery requires simulators that are sufficiently expressive to represent the diverse physical processes and couplings from which new experiments can be constructed. In this direction, we introduce \textsc{esQueranto}, a differentiable software that brings photon-number quantum optics and structured-light propagation into a common description, allowing the spatial evolution of light to directly influence non-classical quantum states and their interference. \textsc{esQueranto} is implemented in JAX, providing automatic differentiation and hardware-accelerated evaluation for optimization and automated search. We demonstrate the framework across a broad range of quantum-optical applications that exercise complementary aspects of its physical description. By combining quantum and structured-light physics within a single differentiable simulator, \textsc{esQueranto} takes an important step towards the dream of a foundational simulator in physics.

Comments19 pages, 10 figures. Software and examples available at https://github.com/artificial-scientist-lab/esQueranto

论文原文

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