论文标题
数字发现实验量子光学核心的科学概念
Digital Discovery of a Scientific Concept at the Core of Experimental Quantum Optics
论文作者
论文摘要
纠缠是从量子通信到量子增强测量和计算的量子技术的关键资源。由于多粒子干扰和巨大的组合搜索空间的违反直觉行为,找到这些任务的实验设置是人类科学家的概念挑战。最近,通过人工发现打开了新的可能性,在该发现中,人工智能提出了用于创建和操纵高维多粒子纠缠的实验设置。虽然数字发现的实验超出了人类专家的想法,但至关重要的目标是了解这些新有用的实验蓝图的基本概念。在这里,我们提出Halo(线性光学元件的HypereDge组件),这是一种具有令人惊讶属性的多光量子量子干扰的新形式。我们的数字发现框架使用了HAROS来解决以前的打开问题。我们 - 这项合作的人类部分 - 然后能够概念化计算机发现背后的想法,并用有效的概率多光子发射器来描述它们。然后,我们证明了其作为高度纠缠状态,量子网络和光子量子门的新实验核心的有用性。我们的手稿有两个结论。首先,我们介绍并解释了一种新的实际有用的多光子干扰现象的物理,该现象可以在诸如综合光子电路之类的高级设置中很容易实现。其次,我们的手稿展示了人工智能如何充当物理学新可行概念的科学发现的灵感来源。
Entanglement is a crucial resource for quantum technologies ranging from quantum communication to quantum-enhanced measurements and computation. Finding experimental setups for these tasks is a conceptual challenge for human scientists due to the counterintuitive behavior of multiparticle interference and the enormously large combinatorial search space. Recently, new possibilities have been opened by artificial discovery where artificial intelligence proposes experimental setups for the creation and manipulation of high-dimensional multi-particle entanglement. While digitally discovered experiments go beyond what has been conceived by human experts, a crucial goal is to understand the underlying concepts which enable these new useful experimental blueprints. Here, we present Halo (Hyperedge Assembly by Linear Optics), a new form of multiphoton quantum interference with surprising properties. Halos were used by our digital discovery framework to solve previously open questions. We -- the human part of this collaboration -- were then able to conceptualize the idea behind the computer discovery and describe them in terms of effective probabilistic multi-photon emitters. We then demonstrate its usefulness as a core of new experiments for highly entangled states, communication in quantum networks, and photonic quantum gates. Our manuscript has two conclusions. First, we introduce and explain the physics of a new practically useful multi-photon interference phenomenon that can readily be realized in advanced setups such as integrated photonic circuits. Second, our manuscript demonstrates how artificial intelligence can act as a source of inspiration for the scientific discoveries of new actionable concepts in physics.