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Image of - Rethinking Causality In Quantum Mechanics | Paperback
Rethinking Causality In Quantum Mechanics | Paperback

Rethinking Causality In Quantum Mechanics | Paperback

by Giarmatzi C

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.

Highlights

  • binding-icon

    9783030319328

    ISBN:

  • binding-icon

    Giarmatzi C

    Author:

  • binding-icon

    157

    Pages:

  • binding-icon

    210 gm

    Weight:

  • langauage-icon

    English

    Language:

  • date-icon

    2019

    Year:

  • edition-icon

    1st Edition

    Edition:

  • binding-icon

    Paperback

    Binding:

₹8083

₹10104

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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