Machine Learning meets Quantum Foundations: A Brief Survey
Quantum Physics
2021-02-04 v2
Abstract
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.
Cite
@article{arxiv.2003.11224,
title = {Machine Learning meets Quantum Foundations: A Brief Survey},
author = {Kishor Bharti and Tobias Haug and Vlatko Vedral and Leong-Chuan Kwek},
journal= {arXiv preprint arXiv:2003.11224},
year = {2021}
}
Comments
17 pages, 10 figures