Self-testing and the geometry of the quantum set
Koon Tong Goh - National University of Singapore
Ried, K. (2017). Autonomous learning agents and what they can teach us about quantum mechanics, biology and more. Perimeter Institute. https://pirsa.org/17090018
Ried, Katja. Autonomous learning agents and what they can teach us about quantum mechanics, biology and more. Perimeter Institute, Sep. 19, 2017, https://pirsa.org/17090018
@misc{ pirsa_PIRSA:17090018,
doi = {10.48660/17090018},
url = {https://pirsa.org/17090018},
author = {Ried, Katja},
keywords = {Quantum Foundations},
language = {en},
title = {Autonomous learning agents and what they can teach us about quantum mechanics, biology and more},
publisher = {Perimeter Institute},
year = {2017},
month = {sep},
note = {PIRSA:17090018 see, \url{https://pirsa.org}}
}
What can machine learning teach us about quantum mechanics? I will begin with a brief overview of attempts to bring together the two fields, and the insights this may yield. I will then focus on one particular framework, Projective Simulation, which describes physics-based agents that are capable of learning by themselves. These agents can serve as toy models for studying a wide variety of phenomena, as I will illustrate with examples from quantum experiments and biology.