Journal ArticleDOI
Gain of information in a quantum measurement
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In this paper, the changes of entropy taking place in a quantum system during a measurement process are reviewed, with a view to clarifying the concepts of entropy, information and quantum measurement.Abstract:
The changes of entropy taking place in a quantum system during a measurement process are reviewed, with a view to clarifying the concepts of entropy, information and quantum measurement. It is shown that a non-negative amount of information is gained in spite of the loss of information (or entropy increase) caused by the reduction of the wavepacket.read more
Citations
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Understanding quantum measurement from the solution of dynamical models
TL;DR: In this paper, a flexible and rather realistic model is introduced, describing the measurement of the $z$-component of a spin through interaction with a magnetic memory simulated by a Curie-Weiss magnet, including spins weakly coupled to a phonon bath.
Journal ArticleDOI
Understanding quantum measurement from the solution of dynamical models
TL;DR: In this paper, a model for the measurement of the z-component of a spin through interaction with a magnetic memory simulated by a Curie-Weiss magnet, including N ≫ 1 spins weakly coupled to a phonon bath, is presented.
Journal ArticleDOI
Criticality and entanglement in random quantum systems
TL;DR: In this article, the authors review studies of entanglement entropy in systems with quenched randomness, concentrating on universal behavior at strongly random quantum critical points, and provide insight into the quantum criticality of these systems and an understanding of their relationship to non-random ('pure') quantum criticalness.
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Principles of quantum inference
TL;DR: In this article, a new approach to quantum state determination using data in the form of observed eigenvectors is developed using Bayesian methods, which results in an inferred probability density over states which readily reduces to a density matrix estimator.
References
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Journal ArticleDOI
A mathematical theory of communication
TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
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Information Theory and Statistical Mechanics. II
TL;DR: In this article, the authors consider statistical mechanics as a form of statistical inference rather than as a physical theory, and show that the usual computational rules, starting with the determination of the partition function, are an immediate consequence of the maximum-entropy principle.
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Quantum theory and measurement
TL;DR: The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press as mentioned in this paper.