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Quantum eigenstates from classical Gibbs distributions
by Pieter W. Claeys, Anatoli Polkovnikov
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Authors (as registered SciPost users):  Pieter W. Claeys · Anatoli Polkovnikov 
Submission information  

Preprint Link:  https://arxiv.org/abs/2007.07264v2 (pdf) 
Date submitted:  20200728 14:32 
Submitted by:  Claeys, Pieter W. 
Submitted to:  SciPost Physics 
Ontological classification  

Academic field:  Physics 
Specialties: 

Approaches:  Theoretical, Computational 
Abstract
We discuss how the language of wave functions (state vectors) and associated noncommuting Hermitian operators naturally emerges from classical mechanics by applying the inverse WignerWeyl transform to the phase space probability distribution and observables. In this language, the Schrödinger equation follows from the Liouville equation, with $\hbar$ now a free parameter. Classical stationary distributions can be represented as sums over stationary states with discrete (quantized) energies, where these states directly correspond to quantum eigenstates. We show that this correspondence is particularly pronounced for canonical Gibbs ensembles, where classical eigenstates satisfy an integral eigenvalue equation that reduces to the Schrödinger equation in a saddlepoint approximation controlled by the inverse temperature. We illustrate this correspondence by showing that some paradigmatic examples such as tunneling, band structures, and quantum eigenstates in chaotic potentials can be reproduced to a surprising precision from a classical Gibbs ensemble, without any reference to quantum mechanics and with all parameters (including $\hbar$) on the order of unity. Interestingly, it is now classical mechanics which allows for apparent negative probabilities to occupy eigenstates, dual to the negative probabilities in Wigner's quasiprobability distribution. These negative probabilities are shown to disappear when allowing sufficient uncertainty in the classical distributions.
Current status:
Reports on this Submission
Anonymous Report 3 on 2020112
(Invited Report) Cite as: Anonymous, Report on arXiv:2007.07264v2, delivered 20201102, doi: 10.21468/SciPost.Report.2137
Strengths
1 A different/fresh perspective on classical quantum correspondence
2 Very pedagogical and intuitive presentation
Weaknesses
Very few,
perhaps that the basic idea in the paper is not original.
Report
The paper elaborates on a beautiful correspondence between classical and quantum mechanics in phase space. Given a classical phase space density P(x,p), one can define a quasidensity matrix W(x1,x2), with respect to a "formal" resolution parameter \epsilon, such that W(x1,x2) corresponds to a proper density matrix when P(x,p) is a Wigner function of a quantum state and \eps is the Planck's constant \hbar. One can now derive quantum formulation of classical mechanics, such as the eigenvectors and the spectrum of the density matrix, writing the corresponding classical Schroedinger equation (which becomes an integral equation, reducing to the usual Schroedinger equation when \eps or \beta are small enough), etc. One can even extend this intriguing correspondence to dynamics and define the Liouvillian propagator for classical quasidensity matrices. Particularly intriguing is the connection between the classical Gibbs phase space distribution and the corresponding quantum eigenfunctions, obtained as eigenvectors of the classical quasidensity matrix. Another intriguing but well discussed issue is the emergence of "negative classical probabilities" for small parameter \eps (smaller than the scale of variation (or uncertainties) of classical probability density).
It is true that most of results discussed here appeared in the literature before, but this paper gives an overarching discussion and a clear physical picture. Even though such a formulation of classical dynamics may not be practical, it can stimulate further interesting studies into quantum classical correspondence, in particular from the viewpoint of quantum chaos. I thus recommend the paper for publication in SciPost Physics.
Requested changes
 The precise mathematical meaning of the spectrum and eigenfunctions of the the classical quasidensity matrix seems unclear. For example, there exist a rigorous formulation of classical mechanics within the Hilbert space, the socalled KoopmanVon Neumann picture. Perhaps the results of the present paper could be phrased or linked to this broad picture. Maybe just a sentence or two would be helpful to give a broad picture.
 How is the classical spectrum related to chaos in two or more dimensions? Is there an extension of BohigasGiannoniSchmidt conjecture to that case? It would be an interesting question for a followup study.
 Top of page 7: typo: particule > particular
 Text after Eq. (44): The authors discuss that classical probabilities are "oscillatory", in n? Is this true as the formula in the text does not say that, it just says they are negative, if \tilde{\beta}_q is real (as it is said in the text after Eq. (43)).
 Text after Eq. (7): "is" is missing after the first word.
 Caption title of Fig.4: To unformise the style with other figures, add the information that the figure refers to a "quartic potential"
 Caption title of Fig. 7: .. add information that the figure referes to "double well potential".
Anonymous Report 2 on 2020106 (Invited Report)
 Cite as: Anonymous, Report on arXiv:2007.07264v2, delivered 20201006, doi: 10.21468/SciPost.Report.2050
Report
Report on 'Quantum eigenstates from classical Gibbs distributions'
The density operator corresponding to the quantum canonical ensemble can be represented by its Wigner function as a real function in the corresponding classical phase space. In the limit of high temperatures (small \beta), this function is accurately approximated by the classical canonical probability density. Thus, the inverse Wigner transform of this classical density can be equated approximately to a spectral decomposition of the projectors onto the eigenstates n> of the Hamiltonian, weighed by w_n = \exp \beta E_n. Of course, this is just the spectral decomposition of the evolution operator with imaginary time and temperature replacing Planck's constant. Actually, \hbar is treated as a mobile parameter in semiclassical methods, while here it is replaced by \epsilon. Thus, \epsilon (or \hbar) should also be small for the classical approximation to hold, without the spectral graininess being perceptible. A further step taken here is to transfer, through the inverse Wigner transform, the classical Liouville evolution to the canonical density matrix in equation (19). This is an approximation to the quantum evolution for small \epsilon.
The obvious direct course is to investigate the quantum canonical Wigner function at lower temperatures, but, surprisingly, this paper proceeds in the opposite direction. Not only are the spectral weights obtained for the continuation of the classical density to lower temperatures, but also the eigenstates themselves. No justification is given for the physical relevance of these hybrid classicalquantum constructions, except for the possible implicit assertion that the classical high temperature regime of the Wigner function
provides a competitive method for the evaluation of individual eigenstates. Unfortunately, the presentation is not sufficiently clear to confirm this unequivocally, so as to distinguish an important new metod from a theoretical curiosity. Indeed, the detailed explanation, as to how the stationary wave functions are actually calculated, is missing.
The general equation for the matrix elements of the density matrix in an arbitrary basis of orthogonal eigenstates is given by (50), but there is no special role for Wigner functions in this. Then in section 5.2 the inverse Wigner transform of the classical canonical distribution (71) is treated as a bona fide density matrix, so that its 'exact' eigenvalue equation is (72). Since the distribution is stationary by construction, there is no need to consider explicitly the transform of the Liouville equation. In the rest of this section, it is shown that for sufficiently small \epsilon and \beta, this is approximately equivalent to the stationary Schrödinger equation (with exponential eigenvalues).
Is there any advantage to solve this equation instead of the Schrödinger equation? Are the surprisingly accurate 'classical eigenfunctions', which are compared in the examples,
calculated in this way? One should note that it is fairly standard to compute numerically low lying eigenstates; is there any advantage to compute them in this new way? Could one use this method for high excited states, which are difficult computationally? Even further, could one get at eigenstates of classically chaotic systems in this way?
The recommendation for this paper to be published in a first class journal depends on these issues. Careful consideration should be given to the presentation in a revised version of the paper. The exact results for the linear potential and the harmonic oscillator do not require the solution of a new eigenvalue equation, so they do not prepare the reader for this novel use of the canonical density. It is certainly not true that the HamiltonJacobi equation (75) is 'exactly equivalent' to the Schrödinger equation. The formulae for 'General potentials' in section 5.1 are not identical to the ones for the linear potential and the harmonic oscillator in those special cases...
Author: Pieter W. Claeys on 20201222 [id 1100]
(in reply to Report 2 on 20201006)
We would like to thank the Referee for their detailed report and reading of the manuscript.
 The density operator corresponding to the quantum canonical ensemble can be represented by its Wigner function as a real function in the corresponding classical phase space. In the limit of high temperatures (small $\beta$), this function is accurately approximated by the classical canonical probability density. Thus, the inverse Wigner transform of this classical density can be equated approximately to a spectral decomposition of the projectors onto the eigenstates n> of the Hamiltonian, weighed by $w_n = \exp[\beta E_n]$. Of course, this is just the spectral decomposition of the evolution operator with imaginary time and temperature replacing Planck's constant. Actually, $\hbar$ is treated as a mobile parameter in semiclassical methods, while here it is replaced by $\epsilon$. Thus, $\epsilon$ (or $\hbar$) should also be small for the classical approximation to hold, without the spectral graininess being perceptible. A further step taken here is to transfer, through the inverse Wigner transform, the classical Liouville evolution to the canonical density matrix in equation (19). This is an approximation to the quantum evolution for small $\epsilon$.
We agree with the Referee. However, the main new results of our manuscript are for the Gibbs distribution (as also made clearer in the revised manuscript), where we now highlight that we are dealing with an expansion in $\beta$ rather than $\epsilon$. In particular, we derived the two leading corrections in $\beta$ to the Gibbs Hamiltonian and explicitly showed how these are of the same order in $\epsilon$ (In other words, this expansion is not an expansion in some dimensionless combination of $\epsilon$ and $\beta$). We also wish to emphasize that in the Gibbs case there is no notion of evolution, i.e. no dynamics. In the quantum case it is clear that the Gibbs distribution corresponds to evolution in imaginary time, but this correspondence is not clear classically. Our result is not given by any quantum action as far as we know, it is different, but in the high temperature limit it indeed becomes equivalent to the quantum partition function, which one can represent through the imaginary time path integral. We stress that the mapping is exact even when $\beta$ is not small and we are not sure which evolution the referee has in mind.
 The obvious direct course is to investigate the quantum canonical Wigner function at lower temperatures, but, surprisingly, this paper proceeds in the opposite direction. Not only are the spectral weights obtained for the continuation of the classical density to lower temperatures, but also the eigenstates themselves. No justification is given for the physical relevance of these hybrid classicalquantum constructions, except for the possible implicit assertion that the classical high temperature regime of the Wigner function provides a competitive method for the evaluation of individual eigenstates. Unfortunately, the presentation is not sufficiently clear to confirm this unequivocally, so as to distinguish an important new method from a theoretical curiosity. Indeed, the detailed explanation, as to how the stationary wave functions are actually calculated, is missing.
The referee is definitely right: this work is largely driven by theoretical curiosity. Note, however, that the complexity of diagonalizing $\mathcal{W}$ is not larger than the complexity of diagonalizing the appropriate quantum Hamiltonian. We also confirmed this numerically. Within classical mechanics, there are also some questions that are easier to address using the language of quantum mechanics, since wave functions contain the information about the whole probability distribution. For example, entanglement is very difficult to compute classically because of a huge sampling problem, but relatively easy to compute from quantum states. We do not want to make any claims in the paper though, since obviously a lot of work has to be done first. One immediate application is that in the added Section 6 we now show how the usual quantum diagnostics of chaos (level spacing statistics) can also be applied to classical systems. We have now also made clear in the manuscript that all states are calculated using a numerical diagonalization method for a discretized Hamiltonian/$\mathcal{W}$.
 The general equation for the matrix elements of the density matrix in an arbitrary basis of orthogonal eigenstates is given by (50), but there is no special role for Wigner functions in this. Then in section 5.2 the inverse Wigner transform of the classical canonical distribution (71) is treated as a bona fide density matrix, so that its 'exact' eigenvalue equation is (72). Since the distribution is stationary by construction, there is no need to consider explicitly the transform of the Liouville equation. In the rest of this section, it is shown that for sufficiently small $\epsilon$ and $\beta$, this is approximately equivalent to the stationary Schrödinger equation (with exponential eigenvalues).
We agree and we moved all the discussion of the Liouville equation to the Appendix in order to make the focus of this work more clear. Moreover, we also derived the leading corrections to the Hamiltonian and highlighted how this is not an expansion in $\epsilon$ or some other combination of $\epsilon$ and $\beta$. Moreover, we analyzed the effect of this correction on the tunneling problem, which is not perturbative in $\epsilon$, and found that we improve the accuracy of the tunneling gap by orders of magnitude even when all parameters including $\beta$ are of the order of 1 and the only somewhat small parameter is $\epsilon=0.1$, which is needed simply to have tunneling. With these parameters getting such an accuracy of the tunneling gap is truly remarkable, we think.
 Is there any advantage to solve this equation instead of the Schrödinger equation? Are the surprisingly accurate 'classical eigenfunctions', which are compared in the examples, calculated in this way? One should note that it is fairly standard to compute numerically low lying eigenstates; is there any advantage to compute them in this new way? Could one use this method for high excited states, which are difficult computationally? Even further, could one get at eigenstates of classically chaotic systems in this way?
As far as we can tell the complexity is identical. We numerically diagonalize matrices of the same size and it takes the same amount of time to diagonalize them by standard routines. Note that we can choose $\epsilon$ at will and use it to our advantage, for example to minimize the number of nonzero components $w_n$. As for chaotic and highlyexcited states: the mapping is always exact and we added a new section 6 on chaotic systems, where we diagonalized $\mathcal{W}$ and showed how the BGS and BerryTabor conjectures hold in classical setups.
 The recommendation for this paper to be published in a first class journal depends on these issues. Careful consideration should be given to the presentation in a revised version of the paper. The exact results for the linear potential and the harmonic oscillator do not require the solution of a new eigenvalue equation, so they do not prepare the reader for this novel use of the canonical density. It is certainly not true that the HamiltonJacobi equation (75) is 'exactly equivalent' to the Schrödinger equation. The formulae for 'General potentials' in section 5.1 are not identical to the ones for the linear potential and the harmonic oscillator in those special cases...
We hope we addressed the concerns by the referee. We added a lot of additional material (see the first part of the response and the provided list of changes) and significantly changed the presentation of the material in order to improve readability. We believe that the main results of this paper are new and very interesting (at least they seem so to us). At the moment, we of course cannot judge how and where these results will find applications, but we found various surprises in this research going beyond a sheer reproducing of known quantum results to new results in classical systems.
Pieter W. Claeys Anatoli Polkovnikov
Anonymous Report 1 on 2020828 (Invited Report)
 Cite as: Anonymous, Report on arXiv:2007.07264v2, delivered 20200828, doi: 10.21468/SciPost.Report.1946
Strengths
Mini reviewstyled paper with many details.
Weaknesses
Originality, but compensated by its style, see report.
Report
This paper reviews in principle well known results, but in a style which brings together in a clear language various aspects connected here. Many detailed examples are given, a strengths of this mini review styled paper.
I suggest the authors consider the following minor issues:
(1) ref. 26 spells wrongly the author's name! Its JK Moser! Details of the ref. must be given also.
(2) The introductions links to complementary approaches to the main idea here, both are indeed well known in the literature. hence, I suggest to stress this better, also by citing relevant literature:
 on the first approach (semiclassical expansion a la WeylMoyal): Hamiltonian Systems: Chaos and Quantization (Cambridge Monographs on Mathematical Physics) from de Almeida, Alfredo M. Ozorio
 on the second one (truncated Wigner expansion): quantum optics literature by the New Zealand groups, Peter Drummond, H. J. Carmichael, CW Gardinger and others, see e.g. M. J. Werner and P. D. Drummond, J. Comput. Phys. 132, 312 (1997) or C.W. Gardiner, StochasticMethods: A Handbook for the Natural and Social Sciences, Springer Series in Synergetics (SpringerVerlag, Berlin, 2009).
Author: Pieter W. Claeys on 20201222 [id 1099]
(in reply to Report 3 on 20201102)We thank the Referee for their nice and constructive comments. We, however, would disagree with the idea that most results appeared before. It is true that, while we were working on the paper, we found out that the formalism of mapping $P(x,p)$ to $\mathcal{W}(x_1,x_2)$ and the associated Schrödinger equation appeared in earlier literature. However, we decided to include this material because those works are surprisingly unknown and several important concepts such as the details of the representation of phase space variables through Hermitian operators were missing or only mentioned briefly in the literature (as far as we are aware). This part of the paper was indeed intended to be a comprehensive introduction to earlier results, with some relatively small new results. We agree that the connection between the classical Gibbs phase space distribution and the quantum eigenfunctions is particularly intriguing, and this was and is intended to be the focus of the manuscript — where we believe most results to be new. With this in mind, we have reworked the presentation of the manuscript and included additional results on the Gibbs ensemble.
As for the requested changes:  We added a comment on the Koopmanvon Neumann picture. Although similar in spirit, we did not find a direct relevance of this formulation to our work.  We thank the referee for the suggestion on chaos and the BohigasGiannoniSchmidt conjecture, and we added a new Section 6 to address this question. This conjecture (as well as the BerryTabor conjecture) appears to work beautifully if we analyze the spectrum of $\mathcal{W}$. This observation highlights that these conjectures are intrinsic properties of the spectrum of the $\mathcal{W}$matrix, which are not related to the approximate mapping to the quantum Hamiltonian. Alternatively (although we decided not to include this), if we take the classical eigenstates and compute the energy spectrum as the expectation value of the Hamiltonian, the level repulsion and the expected level spacing statistics disappear even at small $\beta$, since small differences between classical and quantum eigenstates are sufficient to destroy the level repulsion in this measure.  This typo has been corrected.  There was a factor $(1)^n$ missing in the inline equation (other equations were correct). This has been corrected.  This has been corrected.  This has been corrected.  This has been corrected.
Pieter W. Claeys Anatoli Polkovnikov