Quantum Stochastics

Quantum Stochastics
Author: Mou-Hsiung Chang
Publisher: Cambridge University Press
Total Pages: 425
Release: 2015-02-19
Genre: Language Arts & Disciplines
ISBN: 110706919X


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This book provides a systematic, self-contained treatment of the theory of quantum probability and quantum Markov processes for graduate students and researchers. Building a framework that parallels the development of classical probability, it aims to help readers up the steep learning curve of the quantum theory.


Quantum Stochastics
Language: en
Pages: 425
Authors: Mou-Hsiung Chang
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2015-02-19 - Publisher: Cambridge University Press

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This book provides a systematic, self-contained treatment of the theory of quantum probability and quantum Markov processes for graduate students and researcher
Quantum Stochastics and Information
Language: en
Pages: 410
Authors: V. P. Belavkin
Categories: Science
Type: BOOK - Published: 2008 - Publisher: World Scientific

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Quantum stochastic calculus has become an indispensable tool in modern quantum physics, its effectiveness being illustrated by recent developments in quantum co
An Introduction to Quantum Stochastic Calculus
Language: en
Pages: 299
Authors: K.R. Parthasarathy
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Birkhäuser

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"Elegantly written, with obvious appreciation for fine points of higher mathematics...most notable is [the] author's effort to weave classical probability theor
Quantum Theory and Its Stochastic Limit
Language: en
Pages: 485
Authors: Luigi Accardi
Categories: Science
Type: BOOK - Published: 2013-03-14 - Publisher: Springer Science & Business Media

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Well suited as a textbook in the emerging field of stochastic limit, which is a new mathematical technique developed for solving nonlinear problems in quantum t
Quantum Techniques In Stochastic Mechanics
Language: en
Pages: 276
Authors: John C Baez
Categories: Science
Type: BOOK - Published: 2018-02-14 - Publisher: World Scientific

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We introduce the theory of chemical reaction networks and their relation to stochastic Petri nets — important ways of modeling population biology and many oth