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Rethinking causality in quantum mech...

Giarmatzi, Christina.

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Rethinking causality in quantum mechanics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Rethinking causality in quantum mechanics/ by Christina Giarmatzi.
Author:	Giarmatzi, Christina.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xv, 157 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- Causal and causally separable processes -- Witnessing causal nonseparability: theory and experiment -- Causal polytopes -- Experimental test of a classical causal model for quantum correlations -- A quantum causal discovery algorithm -- Conclusions.
Contained By:	Springer eBooks
Subject:	Causality (Physics) -
Online resource:	https://doi.org/10.1007/978-3-030-31930-4
ISBN:	9783030319304

Rethinking causality in quantum mechanics
Giarmatzi, Christina.

Rethinking causality in quantum mechanics[electronic resource] /by Christina Giarmatzi. - Cham :Springer International Publishing :2019. - xv, 157 p. :ill. (some col.), digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

Introduction -- Causal and causally separable processes -- Witnessing causal nonseparability: theory and experiment -- Causal polytopes -- Experimental test of a classical causal model for quantum correlations -- A quantum causal discovery algorithm -- Conclusions.

Causality is central to understanding the mechanisms of nature: some event "A" is the cause of another event "B". Surprisingly, causality does not follow this simple rule in quantum physics: due to to quantum superposition we might be led to believe that "A causes B" and that "B causes A". This idea is not only important to the foundations of physics but also leads to practical advantages: a quantum circuit with such indefinite causality performs computationally better than one with definite causality. This thesis provides one of the first comprehensive introductions to quantum causality, and presents a number of advances.It provides an extension and generalization of a framework that enables us to study causality within quantum mechanics, thereby setting the stage for the rest of the work. This comprises: mathematical tools to define causality in terms of probabilities; computational tools to prove indefinite causality in an experiment; means to experimentally test particular causal structures; and finally an algorithm that detects the exact causal structure in an quantum experiment.

ISBN: 9783030319304

Standard No.: 10.1007/978-3-030-31930-4doiSubjects--Topical Terms:

560753
Causality (Physics)

LC Class. No.: QC6.4.C3 / G537 2019

Dewey Class. No.: 530.01

Rethinking causality in quantum mechanics
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245 1 0 $a Rethinking causality in quantum mechanics $h [electronic resource] / $c by Christina Giarmatzi.
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300 $a xv, 157 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5053
505 0 $a Introduction -- Causal and causally separable processes -- Witnessing causal nonseparability: theory and experiment -- Causal polytopes -- Experimental test of a classical causal model for quantum correlations -- A quantum causal discovery algorithm -- Conclusions.
520 $a Causality is central to understanding the mechanisms of nature: some event "A" is the cause of another event "B". Surprisingly, causality does not follow this simple rule in quantum physics: due to to quantum superposition we might be led to believe that "A causes B" and that "B causes A". This idea is not only important to the foundations of physics but also leads to practical advantages: a quantum circuit with such indefinite causality performs computationally better than one with definite causality. This thesis provides one of the first comprehensive introductions to quantum causality, and presents a number of advances.It provides an extension and generalization of a framework that enables us to study causality within quantum mechanics, thereby setting the stage for the rest of the work. This comprises: mathematical tools to define causality in terms of probabilities; computational tools to prove indefinite causality in an experiment; means to experimentally test particular causal structures; and finally an algorithm that detects the exact causal structure in an quantum experiment.
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