2020
DOI: 10.1007/978-3-030-41265-4_7
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Affleck–Kennedy–Lieb–Tasaki Model

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“…In the following, they are applied in analyzing the scaling behaviour of the work distribution during a linear quench. Scaling behavior in the characteristic function of work.-We define the work applied during the quench on the basis of the usual two-time measurement scheme, i.e., as the difference between the results of the projective measurements [34][35][36][37][38] of the system's energy before and after the linear quench. It is a stochastic quantity with a distribution function PðwÞ, and the logarithm of its characteristic function [the Fourier transform of PðwÞ], called the cumulant CFW, reads…”
mentioning
confidence: 99%
“…In the following, they are applied in analyzing the scaling behaviour of the work distribution during a linear quench. Scaling behavior in the characteristic function of work.-We define the work applied during the quench on the basis of the usual two-time measurement scheme, i.e., as the difference between the results of the projective measurements [34][35][36][37][38] of the system's energy before and after the linear quench. It is a stochastic quantity with a distribution function PðwÞ, and the logarithm of its characteristic function [the Fourier transform of PðwÞ], called the cumulant CFW, reads…”
mentioning
confidence: 99%