Genetic Algorithm Confirms The Rejection of Classical Notions of Causality

A team of German and Australian researchers has developed a new, genetic algorithm that confirms the rejection of classical notions of causality.

As Dr. Alberto Peruzzo from RMIT University in Melbourne explains, Bell’s theorem excludes classical concepts of causality and is now a cornerstone of modern physics. However, “despite the fundamental importance of this theorem, only recently was the first ‘loophole-free’ experiment reported which convincingly verified that we must reject classical notions of causality.” For this reason, researchers developed an algorithm that is able to analyze and quantify such conclusions.

To find the closest classical explanations of experimental data, the researchers used machine learning. This allowed them to map out many dimensions of the departure from classical that quantum correlations exhibit, and in the end, to develop a new method of analysis.

Using simulated evolution that imitates natural selection, the algorithm builds casual models. N other words, it works through genetic programming.

The region that the algorithm mapped out is now called “the edge of reality”, which refers to the common terminology “local realism” for a model of physics that satisfys Einstein’s relativity.

Source:

RMIT University via ScienceDaily (https://www.sciencedaily.com/releases/2017/04/170428154558.htm)

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