47 min listen
Machine learning techniques in modern quantum-mechanics experiments
Machine learning techniques in modern quantum-mechanics experiments
ratings:
Length:
37 minutes
Released:
Mar 22, 2020
Format:
Podcast episode
Description
In this talk, Dr Elliott Bentine shall discuss how recent experiments have exploited machine-learning techniques, both to optimize the operation of these devices and to interperet the data they produce. Modern table-top experiments can engineer physical systems that are deeply into the quantum mechanical regime. These cutting-edge instruments provide new insights into fundamental physics, and a pathway to future devices that will harness the power of quantum mechanics. They typically require complex operations to prepare and control the quantum state, involving time-dependent sequences of magnetic, electric and laser fields. This presents experimental physicists with an overwhelming number of tunable parameters, which may be subject to uncertainty or fluctuations.
Released:
Mar 22, 2020
Format:
Podcast episode
Titles in the series (86)
The impact of black holes on the Universe: Members of the Rudolf Peierls Centre for Theoretical Physics hosted the 5th morning of Theoretical Physics covering the subject of Black holes: where physics reaches its limit. by Theoretical Physics - From Outer Space to Plasma