论文标题

机器学习符合量子基础:简短的调查

Machine Learning meets Quantum Foundations: A Brief Survey

论文作者

Bharti, Kishor, Haug, Tobias, Vedral, Vlatko, Kwek, Leong-Chuan

论文摘要

机器学习的目的是促进计算机在不明确指令的情况下执行特定任务。量子基础旨在解释量子理论的概念和数学建筑。最近,机器学习的想法已成功地应用于量子基础中的不同问题。在这里,我们编译了迄今为止在机器学习和量子基础的界面上完成的代表作品。我们以潜在的未来方向结束了调查。

The goal of machine learning is to facilitate a computer to execute a specific task without explicit instruction by an external party. Quantum foundations seeks to explain the conceptual and mathematical edifice of quantum theory. Recently, ideas from machine learning have successfully been applied to different problems in quantum foundations. Here, we compile the representative works done so far at the interface of machine learning and quantum foundations. We conclude the survey with potential future directions.

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