论文标题
通过有效的量子光学实验的有效逆设计概念理解
Conceptual understanding through efficient inverse-design of quantum optical experiments
论文作者
论文摘要
人工智能研究中的一个至关重要的问题是如何使用该技术来发现新的科学概念和思想。我们提出了Theseus，这是一种可以解释的AI算法，可以在概念层面上为科学做出贡献。这项工作需要四个重大贡献。 （i）我们引入了可解释的量子光学实验的表示形式，适合算法使用。 （ii）我们为新量子实验开发了一种反设计方法，该方法比最好的先前方法快的速度更快。 （iii）我们解决了量子光学元件中的几个关键开放问题，预计将推进光子技术。最后，最重要的是，（iv）可解释的表示和急剧的加速产生了人类科学家可以直接解释新科学概念的解决方案。我们预计TheseUS将成为量子光学和光子硬件的重要工具，并可能适用于其他量子物理学科。
One crucial question within artificial intelligence research is how this technology can be used to discover new scientific concepts and ideas. We present Theseus, an explainable AI algorithm that can contribute to science at a conceptual level. This work entails four significant contributions. (i) We introduce an interpretable representation of quantum optical experiments amenable to algorithmic use. (ii) We develop an inverse-design approach for new quantum experiments, which is orders of magnitudes faster than the best previous methods. (iii) We solve several crucial open questions in quantum optics, which is expected to advance photonic technology. Finally, and most importantly, (iv) the interpretable representation and drastic speedup produce solutions that a human scientist can interpret outright to discover new scientific concepts. We anticipate that Theseus will become an essential tool in quantum optics and photonic hardware, with potential applicability to other quantum physical disciplines.
