2011
DOI: 10.1103/physreve.84.041116
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Relating Fisher information to order parameters

Abstract: We study phase transitions and relevant order parameters via statistical estimation theory using the Fisher information matrix. The assumptions that we make limit our analysis to order parameters representable as a negative derivative of thermodynamic potential over some thermodynamic variable. Nevertheless, the resulting representation is sufficiently general and explicitly relates elements of the Fisher information matrix to the rate of change in the corresponding order parameters. The obtained relationships… Show more

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Cited by 104 publications
(127 citation statements)
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“…Since it is this elastic peak that diverges at thermal phase transitions, these do not appear as particular features in F Q . We can connect the elastic peak to the classical contribution to the Fisher information [41]. Equation (S17) yields F C = λ (∂p λ /∂ϑ) 2 p λ = χ el /T .…”
Section: S4 Classical Contribution To Qfi and Behaviour At Thermal Pmentioning
confidence: 99%
See 1 more Smart Citation
“…Since it is this elastic peak that diverges at thermal phase transitions, these do not appear as particular features in F Q . We can connect the elastic peak to the classical contribution to the Fisher information [41]. Equation (S17) yields F C = λ (∂p λ /∂ϑ) 2 p λ = χ el /T .…”
Section: S4 Classical Contribution To Qfi and Behaviour At Thermal Pmentioning
confidence: 99%
“…It is χ el that diverges at a thermal phase transition. As is shown in the Supplementary Material [30], χ el can be related to the Fisher information in a classical scenario [41] that has no relation to entanglement. The second term χ vV , on the other hand, remains smooth at thermal transitions.…”
mentioning
confidence: 99%
“…Their results suggest that theoretically, we can predict critical thresholds in epidemics [14], which could be of a substantial value in health care. In practice, one of the challenges lies in pinpointing such critical thresholds in finite-size systems, where a precise identification of phase transitions requires an estimation of the rate of change of the order parameter, often from finite and/or distributed data [15,16].…”
Section: Introductionmentioning
confidence: 99%
“…In recent decade different concepts emerging from quantum-information geometry [1][2][3][4] have been intensively incorporated in condensed matter physics [5][6][7][8][9][10][11][12][13][14][15][16][17]. The underlying idea may be briefly reviewed as follows.…”
Section: Introductionmentioning
confidence: 99%
“…The notion of distance has found applications in different fields. For example: thermodynamic of small systems [5,16], geometrical description of phase transitions and quantum criticality [6][7][8][9][10][11][12][13][14][15], quantum estimation of Hamiltonian parameters [18,19] and hypothesis testing and discrimination of states [20][21][22][23], are only a part of them. If we consider the distance between two states obtained by an infinitesimal change in the values of the parameters that specifie the quantum state, we come to the notion of a metric tensor, i.e.…”
Section: Introductionmentioning
confidence: 99%