pith. sign in

arxiv: 2604.13923 · v1 · submitted 2026-04-15 · 🪐 quant-ph · cond-mat.stat-mech· physics.atom-ph· physics.optics

Quantum information spreading in inhomogeneous spin ensembles

Pith reviewed 2026-05-10 12:50 UTC · model grok-4.3

classification 🪐 quant-ph cond-mat.stat-mechphysics.atom-phphysics.optics
keywords Krylov spaceinhomogeneous spin ensemblesLieb-Robinson velocityquantum speed limitinformation propagationsingle-excitation subspaceresonance frequency distributionquantum information spreading
0
0 comments X p. Extension

The pith

Quantum information spreads in spin ensembles at rates set by the statistical distribution of resonance frequencies.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper develops a Krylov space framework to describe quantum dynamics in large inhomogeneous ensembles of spins with arbitrary frequency and coupling distributions. In the single-excitation subspace it produces exact expressions for the Lieb-Robinson velocity that bounds information propagation, the quantum speed limit, and related quantities such as Krylov complexity. The central finding is that these measures of information flow depend strongly on the shape and width of the resonance-frequency distribution rather than on average values alone. This dependence matters for any quantum technology that relies on controlled spreading of excitations or correlations in real spin systems.

Core claim

The Krylov construction applied to the Hamiltonian of an inhomogeneous spin ensemble generates an orthonormal basis in which the single-excitation dynamics can be solved exactly for asymptotically large systems. This yields closed-form expressions for the Lieb-Robinson velocity and quantum speed limit that vary with the chosen statistical distribution of spin frequencies. The same construction also supplies a concrete figure of merit, Krylov complexity, that quantifies how the excitation spreads.

What carries the argument

The Krylov space obtained by repeated application of the Hamiltonian to an initial state, which supplies an exact basis for single-excitation dynamics in arbitrarily distributed spin ensembles.

If this is right

  • Exact Lieb-Robinson velocities become available for any chosen frequency distribution without further approximation.
  • Quantum speed limits can be evaluated analytically for large inhomogeneous ensembles.
  • Krylov complexity serves as a computable indicator of information spreading speed.
  • Engineering of spin-based quantum components must account for the full statistical distribution of resonance frequencies to predict information flow.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Choosing a narrow or broad frequency distribution could be used to slow or accelerate quantum information transfer in spin arrays.
  • The same Krylov approach may be applied to other disordered many-body systems to obtain bounds on correlation spreading.
  • Experiments with tunable inhomogeneity in atomic or solid-state spin ensembles could test the predicted distribution dependence by varying the spread while keeping the mean fixed.

Load-bearing premise

The derivations assume an asymptotically large ensemble and restrict attention to the single-excitation subspace.

What would settle it

A direct measurement or numerical simulation of the time required for a single excitation to reach a distant spin, performed for several different frequency distributions, should match the predicted Lieb-Robinson velocity only if the distribution dependence is correct.

Figures

Figures reproduced from arXiv: 2604.13923 by Florian Mintert, Himadri Shekhar Dhar, Rahul Gupta.

Figure 1
Figure 1. Figure 1: FIG. 1. Quantum information spreading in Krylov Space: (a) Krylov coefficients [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: shows the spread of a single excitation, ini￾tially stored in the bright state |ϕ1⟩, through the Krylov space of a spin ensemble with a q-Gaussian distribution of spin frequencies. For q = 1, the distribution is Gaussian, and strong parabolic dispersion of information to higher Krylov states is observed, as shown in [PITH_FULL_IMAGE:figures/full_fig_p006_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3. Fidelity evolution from bright mode [PITH_FULL_IMAGE:figures/full_fig_p007_3.png] view at source ↗
read the original abstract

We present a Krylov space based theoretical framework for modeling inhomogeneous spin ensembles with arbitrary distributions of spin frequencies and couplings. The framework is then used to asymptotically large spin ensemble. In the single-excitation subspace, the Krylov construction allows for to derive exact expressions for the Lieb-Robinson velocity and quantum speed limit, and figure of merit such as Krylov complexity. Our work reveals a strong dependence of the speed of information flow on the statistical distribution of resonance frequencies in the spin ensemble with immediate implications for the design of components for quantum technologies, realized for example with nitrogen vacancy centers, nuclear spins or ultracold atoms.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript develops a Krylov-subspace framework for quantum information spreading in asymptotically large inhomogeneous spin ensembles with arbitrary distributions of on-site frequencies and (position-dependent) couplings. In the single-excitation subspace the method is used to obtain exact expressions for the Lieb-Robinson velocity, quantum speed limit, and Krylov complexity, which are shown to depend strongly on the statistical properties of the resonance-frequency distribution P(ω). The results are motivated by applications to NV centers, nuclear spins, and ultracold atoms.

Significance. If the claimed exact, distribution-dependent formulas can be substantiated, the work supplies a concrete analytic handle on how disorder shapes information propagation speed in spin ensembles. This is relevant for quantum-technology design where control of information flow is desirable. The use of Krylov methods to reduce the many-body problem to an effective single-particle tight-binding chain with a spectral measure determined by P(ω) is a standard and potentially powerful reduction, provided the resulting expressions remain tractable.

major comments (2)
  1. [Abstract / §3] Abstract and the central derivation (presumably §3–4): the repeated claim of “exact expressions” for the Lieb-Robinson velocity and quantum speed limit for completely arbitrary P(ω) is not yet supported. The Lanczos recurrence coefficients are fixed by the moments of the effective spectral measure; for a generic distribution these moments lack closed analytic forms. The manuscript must therefore either (i) exhibit explicit closed-form expressions that hold without further regularity assumptions on P(ω), or (ii) state the precise class of distributions for which the expressions remain exact and analytic. Without this clarification the “exact” qualifier risks being overstated.
  2. [§4] §4 (or wherever the velocity and QSL are derived): the reduction to the single-excitation subspace is standard, but the passage from the Krylov chain to a concrete Lieb-Robinson bound or quantum-speed-limit expression must be shown explicitly. In particular, it is unclear whether the final formulas involve only the first few moments or require the full infinite set of Lanczos coefficients; the latter would generally necessitate numerical quadrature even for simple P(ω).
minor comments (2)
  1. [Abstract] Abstract: the sentence “The framework is then used to asymptotically large spin ensemble” is grammatically incomplete; “allows for to derive” should be “allows one to derive”.
  2. [Introduction] Notation: the symbol P(ω) for the frequency distribution is introduced without an explicit definition of its normalization or support; a short paragraph clarifying the measure would improve readability.

Simulated Author's Rebuttal

2 responses · 1 unresolved

We thank the referee for the careful reading and constructive comments. We address the major points below, clarifying the scope of our exact results and indicating the revisions we will implement.

read point-by-point responses
  1. Referee: [Abstract / §3] Abstract and the central derivation (presumably §3–4): the repeated claim of “exact expressions” for the Lieb-Robinson velocity and quantum speed limit for completely arbitrary P(ω) is not yet supported. The Lanczos recurrence coefficients are fixed by the moments of the effective spectral measure; for a generic distribution these moments lack closed analytic forms. The manuscript must therefore either (i) exhibit explicit closed-form expressions that hold without further regularity assumptions on P(ω), or (ii) state the precise class of distributions for which the expressions remain exact and analytic. Without this clarification the “exact” qualifier risks being overstated.

    Authors: The Krylov construction yields an exact, non-perturbative mapping of the single-excitation dynamics onto a one-dimensional chain whose Lanczos coefficients are the moments of the spectral measure induced by P(ω). Consequently the Lieb-Robinson velocity and quantum speed limit are expressed exactly in terms of this measure (or its moment sequence) without additional approximations. For a completely arbitrary P(ω) these moments are defined by integrals and therefore the expressions remain exact but are not necessarily elementary. We will revise the abstract and §3 to state this distinction explicitly, specify that closed elementary forms exist only when the moment-generating function of P(ω) is known in closed form (e.g., Gaussian or Lorentzian distributions), and add an appendix containing the general moment formulas together with explicit analytic results for two representative distributions. revision: partial

  2. Referee: [§4] §4 (or wherever the velocity and QSL are derived): the reduction to the single-excitation subspace is standard, but the passage from the Krylov chain to a concrete Lieb-Robinson bound or quantum-speed-limit expression must be shown explicitly. In particular, it is unclear whether the final formulas involve only the first few moments or require the full infinite set of Lanczos coefficients; the latter would generally necessitate numerical quadrature even for simple P(ω).

    Authors: We agree that the explicit steps connecting the Krylov chain to the final bounds must be displayed. The Lieb-Robinson velocity is the supremum of the group velocity on the dispersion relation generated by the infinite tridiagonal Lanczos matrix; the quantum speed limit follows from the same spectral measure. While the full set of coefficients is formally required, useful analytic bounds can be obtained from the first few moments (variance and kurtosis of P(ω)). We will expand §4 to show the explicit mapping from the Lanczos matrix to the velocity bound and the QSL, including the integral representation over the spectral density. For concrete numerical evaluation of general P(ω) we indeed employ quadrature, but the underlying expressions remain exact prior to discretization. revision: yes

standing simulated objections not resolved
  • We cannot exhibit elementary closed-form expressions valid for every conceivable P(ω) without regularity assumptions, as the Hamburger moment problem for a generic measure does not admit such forms.

Circularity Check

0 steps flagged

No circularity: standard Krylov application yields independent expressions

full rationale

The paper applies the established Krylov subspace construction to the single-excitation sector of an inhomogeneous spin Hamiltonian with arbitrary frequency distribution P(ω). The abstract states that this construction 'allows to derive exact expressions' for Lieb-Robinson velocity, quantum speed limit and Krylov complexity. No quoted step defines a quantity in terms of itself, renames a fitted parameter as a prediction, or imports a uniqueness theorem from the authors' prior work. The derivation chain therefore remains self-contained: the moments of the spectral measure are computed from the given distribution and couplings, and the resulting velocities and bounds follow directly from the Lanczos recurrence without tautological reduction.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The central claim rests on the applicability of Krylov space methods to spin ensembles and the single-excitation approximation.

axioms (2)
  • domain assumption The single-excitation subspace is sufficient for modeling information spreading.
    Central results are derived within this subspace as stated in the abstract.
  • domain assumption Krylov space construction yields exact expressions for large ensembles.
    The framework is presented for asymptotically large spin ensembles.

pith-pipeline@v0.9.0 · 5404 in / 1164 out tokens · 46064 ms · 2026-05-10T12:50:04.529788+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

83 extracted references · 83 canonical work pages

  1. [1]

    Finite frequency range(−1≤q≤1) The corresponding orthogonal set of polynomials asso- ciated withP q(x) in this range areq-Hermite polynomials ∞X n=0 Hn(x|q) (q;q) n tn = 1 (teiθ, te−iθ;q) ∞ ,(32) wherex= cosθand (x;q) n =Qn−1 k=0(1−xq k) is theq- Pochhammer symbol and (x, y;q) n = (x;q) n(y;q) n. This gives the first two polynomials as H0(x|q) = 1 andH 1(...

  2. [2]

    Forq→1 +,N→ ∞, which results in limλ→∞H(N) n (ξ)→H n(ξ), and the Hermite polynomials for the Gaussian distribution is recovered

    Infinite frequency range(1< q <3) In this limit, the distribution function is often repre- sented by the Tsallis q-Gaussian function [61] Pq(ξ) = √β Cq 1−(1−q)βξ 2 1/(1−q) ,(38) 7 where, Cq = √πΓ 3−q 2(1−q) √q−1Γ 1 1−q .(39) The associated orthogonal polynomial set to this distri- bution is the relativistic Hermite polynomials [62], which is defined forξ=...

  3. [3]

    Eisert, M

    J. Eisert, M. Friesdorf, and C. Gogolin, Quantum many- body systems out of equilibrium, Nat. Phys.11, 124 (2015)

  4. [4]

    Iyoda and T

    E. Iyoda and T. Sagawa, Scrambling of quantum infor- mation in quantum many-body systems, Phys. Rev. A 97, 042330 (2018)

  5. [5]

    D. A. Abanin, E. Altman, I. Bloch, and M. Serbyn, Col- loquium: Many-body localization, thermalization, and entanglement, Rev. Mod. Phys.91, 021001 (2019)

  6. [6]

    D. J. Luitz and Y. Bar Lev, Information propagation in isolated quantum systems, Phys. Rev. B96, 020406 (2017)

  7. [7]

    Nahum, S

    A. Nahum, S. Vijay, and J. Haah, Operator spreading in random unitary circuits, Phys. Rev. X8, 021014 (2018)

  8. [8]

    Swingle and D

    B. Swingle and D. Chowdhury, Slow scrambling in disor- dered quantum systems, Phys. Rev. B95, 060201 (2017)

  9. [9]

    Haroche and J.-M

    S. Haroche and J.-M. Raimond,Exploring the Quantum (Oxford University Press, 2006)

  10. [10]

    J. M. Deutsch, Eigenstate thermalization hypothesis, Rep. Prog. Phys.81, 082001 (2018)

  11. [11]

    W. W. Ho and D. A. Abanin, Entanglement dynamics in quantum many-body systems, Phys. Rev. B95, 094302 (2017)

  12. [12]

    D. N. Matsukevich and A. Kuzmich, Quantum state transfer between matter and light, Science306, 663 (2004)

  13. [13]

    Z.-Y. Xu, S. Luo, W. L. Yang, C. Liu, and S. Zhu, Quan- tum speedup in a memory environment, Phys. Rev. A 89, 012307 (2014)

  14. [14]

    K. G. Paulson, S. Banerjee, and R. Srikanth, The effect of quantum memory on quantum speed limit time for CP- (in)divisible channels, Quantum Inf. Process.21(2022)

  15. [15]

    Murphy, S

    M. Murphy, S. Montangero, V. Giovannetti, and T. Calarco, Communication at the quantum speed limit along a spin chain, Phys. Rev. A82, 022318 (2010)

  16. [16]

    Kurizki, P

    G. Kurizki, P. Bertet, Y. Kubo, K. Mølmer, D. Pet- rosyan, P. Rabl, and J. Schmiedmayer, Quantum tech- nologies with hybrid systems, Proc. Natl. Acad. Sci. U.S.A.112, 3866 (2015)

  17. [17]

    A. A. Clerk, K. W. Lehnert, P. Bertet, J. R. Petta, and Y. Nakamura, Hybrid quantum systems with cir- cuit quantum electrodynamics, Nature Physics16, 257 (2020)

  18. [18]

    E. H. Lieb and D. W. Robinson, The finite group velocity of quantum spin systems, Commun. Math. Phys.28, 251 (1972)

  19. [19]

    M. B. Hastings, Locality in quantum and markov dynam- ics on lattices and networks, Phys. Rev. Lett.93, 140402 (2004)

  20. [20]

    Mandelstam and I

    L. Mandelstam and I. Tamm, The uncertainty relation between energy and time in non-relativistic quantum me- chanics, inSelected Papers(Springer Berlin Heidelberg, Berlin, Heidelberg, 1991) pp. 115–123

  21. [21]

    Margolus and L

    N. Margolus and L. B. Levitin, The maximum speed of dynamical evolution, Physica D: Nonlinear Phenomena 120, 188 (1998), proceedings of the Fourth Workshop on Physics and Consumption

  22. [22]

    Swingle, Unscrambling the physics of out-of-time- order correlators, Nat

    B. Swingle, Unscrambling the physics of out-of-time- order correlators, Nat. Phys.14, 988 (2018)

  23. [23]

    D. E. Parker, X. Cao, A. Avdoshkin, T. Scaffidi, and E. Altman, A universal operator growth hypothesis, Phys. Rev. X9, 041017 (2019)

  24. [24]

    Rabinovici, A

    E. Rabinovici, A. S´ anchez-Garrido, R. Shir, and J. Son- ner, Krylov localization and suppression of complexity, J. High Energy Phys.2022(3)

  25. [25]

    D. P. Pires, M. Cianciaruso, L. C. C´ eleri, G. Adesso, and D. O. Soares-Pinto, Generalized geometric quantum speed limits, Phys. Rev. X6, 021031 (2016). 12

  26. [26]

    Takahashi and A

    K. Takahashi and A. del Campo, Krylov subspace meth- ods for quantum dynamics with time-dependent genera- tors, Phys. Rev. Lett.134, 030401 (2025)

  27. [27]

    A. A. Nizami and A. W. Shrestha, Krylov construction and complexity for driven quantum systems, Phys. Rev. E108, 054222 (2023)

  28. [28]

    Rabinovici, A

    E. Rabinovici, A. S´ anchez-Garrido, R. Shir, and J. Son- ner, Operator complexity: a journey to the edge of krylov space, J. High Energy Phys.2021(62)

  29. [29]

    Nandy, A

    P. Nandy, A. S. Matsoukas-Roubeas, P. Mart´ ınez- Azcona, A. Dymarsky, and A. del Campo, Quantum dy- namics in krylov space: Methods and applications, Phys. Rep.1125-1128, 1 (2025)

  30. [30]

    Caputa, J

    P. Caputa, J. M. Magan, and D. Patramanis, Geometry of krylov complexity, Phys. Rev. Res.4, 013041 (2022)

  31. [31]

    Entanglement and quantum coherence in krylov space dynamics, 2026

    S. Choudhary, S. Mondkar, and U. Sen, Entanglement and quantum coherence in krylov space dynamics, arXiv (2026), 2603.26619 [quant-ph]

  32. [32]

    Bhattacharya, P

    A. Bhattacharya, P. P. Nath, and H. Sahu, Speed lim- its to the growth of krylov complexity in open quantum systems, Phys. Rev. D109, L121902 (2024)

  33. [33]

    Gill and T

    A. Gill and T. Sarkar, Speed limits and scrambling in krylov space, Phys. Rev. B111, 184307 (2025)

  34. [34]

    Mivehvar, F

    F. Mivehvar, F. Piazza, T. Donner, and H. Ritsch, Cavity QED with quantum gases: new paradigms in many-body physics, Adv. Phys.70, 1 (2021)

  35. [35]

    Y. Kubo, C. Grezes, A. Dewes, T. Umeda, J. Isoya, H. Sumiya, N. Morishita, H. Abe, S. Onoda, T. Ohshima, V. Jacques, A. Dr´ eau, J.-F. Roch, I. Diniz, A. Auffeves, D. Vion, D. Esteve, and P. Bertet, Hybrid quantum cir- cuit with a superconducting qubit coupled to a spin en- semble, Phys. Rev. Lett.107, 220501 (2011)

  36. [36]

    Blais, A

    A. Blais, A. L. Grimsmo, S. M. Girvin, and A. Wallraff, Circuit quantum electrodynamics, Rev. Mod. Phys.93, 025005 (2021)

  37. [37]

    Lachance-Quirion, Y

    D. Lachance-Quirion, Y. Tabuchi, A. Gloppe, K. Usami, and Y. Nakamura, Hybrid quantum systems based on magnonics, Applied Physics Express12, 070101 (2019)

  38. [38]

    I. C. Skogvoll, J. Lidal, J. Danon, and A. Kamra, Tunable anisotropic quantum rabi model via a magnon–spin-qubit ensemble, Phys. Rev. Appl.16, 064008 (2021)

  39. [39]

    A. O. Levchenko, V. V. Vasil’ev, S. A. Zibrov, A. S. Zi- brov, A. V. Sivak, and I. V. Fedotov, Inhomogeneous broadening of optically detected magnetic resonance of the ensembles of nitrogen-vacancy centers in diamond by interstitial carbon atoms, Applied Physics Letters106, 102402 (2015)

  40. [40]

    Rosenzweig, Y

    Y. Rosenzweig, Y. Schlussel, and R. Folman, Probing the origins of inhomogeneous broadening in nitrogen-vacancy centers with doppler-free-type spectroscopy, Phys. Rev. B98, 014112 (2018)

  41. [41]

    V. V. Dobrovitski, A. E. Feiguin, D. D. Awschalom, and R. Hanson, Decoherence dynamics of a single spin versus spin ensemble, Phys. Rev. B77, 245212 (2008)

  42. [42]

    Keeling, Quantum corrections to the semiclassical col- lective dynamics in the tavis-cummings model, Phys

    J. Keeling, Quantum corrections to the semiclassical col- lective dynamics in the tavis-cummings model, Phys. Rev. A79, 053825 (2009)

  43. [43]

    M. A. Zeb, Analytical solution of the disordered tavis- cummings model and its fano resonances, Phys. Rev. A 106, 063720 (2022)

  44. [44]

    Sharma and H

    H. Sharma and H. S. Dhar, Quadratic power enhance- ment in extended dicke quantum battery (2025)

  45. [45]

    Diniz, S

    I. Diniz, S. Portolan, R. Ferreira, J. M. G´ erard, P. Bertet, and A. Auff` eves, Strongly coupling a cavity to inhomo- geneous ensembles of emitters: Potential for long-lived solid-state quantum memories, Phys. Rev. A84, 063810 (2011)

  46. [46]

    J. H. Wesenberg, Z. Kurucz, and K. Mølmer, Dynamics of the collective modes of an inhomogeneous spin ensemble in a cavity, Phys. Rev. A83, 023826 (2011)

  47. [47]

    Kurucz, J

    Z. Kurucz, J. H. Wesenberg, and K. Mølmer, Spectro- scopic properties of inhomogeneously broadened spin en- sembles in a cavity, Phys. Rev. A83, 053852 (2011)

  48. [48]

    Q. Ansel,Optimal control of inhomogeneous spin ensem- bles : applications in NMR and quantum optics, Theses, Universit´ e Bourgogne Franche-Comt´ e ; Technische Uni- versit¨ at (Munich, Allemagne) (2018)

  49. [49]

    B. A. Chase and J. M. Geremia, Collective processes of an ensemble of spin-1/2 particles, Phys. Rev. A78, 052101 (2008)

  50. [50]

    Sharma, S

    H. Sharma, S. Saha, A. S. Majumdar, M. Banik, and H. S. Dhar, Thermodynamic probes of multipartite en- tanglement in strongly interacting quantum systems (2025)

  51. [51]

    Iemini, D

    F. Iemini, D. Chang, and J. Marino, Dynamics of in- homogeneous spin ensembles with all-to-all interactions: Breaking permutational invariance, Phys. Rev. A109, 032204 (2024)

  52. [52]

    Tavis and F

    M. Tavis and F. W. Cummings, Exact solution for ann- molecule—radiation-field hamiltonian, Phys. Rev.170, 379 (1968)

  53. [53]

    Lanczos, An iteration method for the solution of the eigenvalue problem of linear differential and integral op- erators, J

    C. Lanczos, An iteration method for the solution of the eigenvalue problem of linear differential and integral op- erators, J. Res. Natl. Bur. Stand. B45, 255 (1950)

  54. [54]

    S. Putz, D. O. Krimer, R. Ams¨ uss, A. Valookaran, T. N¨ obauer, J. Schmiedmayer, S. Rotter, and J. Majer, Protecting a spin ensemble against decoherence in the strong-coupling regime of cavity qed, Nature Physics10, 720 (2014)

  55. [55]

    D. O. Krimer, S. Putz, J. Majer, and S. Rotter, Non- markovian dynamics of a single-mode cavity strongly coupled to an inhomogeneously broadened spin ensem- ble, Phys. Rev. A90, 043852 (2014)

  56. [56]

    Deffner and S

    S. Deffner and S. Campbell, Quantum speed limits: from heisenberg’s uncertainty principle to optimal quantum control, J. Phys. A Math. Theor.50, 453001 (2017)

  57. [57]

    K¨ onig, Orthogonal polynomial ensembles in probabil- ity theory., Probability Surveys [electronic only]2, 385 (2005)

    W. K¨ onig, Orthogonal polynomial ensembles in probabil- ity theory., Probability Surveys [electronic only]2, 385 (2005)

  58. [58]

    Favard, Sur les polynomes de Tchebicheff., C

    J. Favard, Sur les polynomes de Tchebicheff., C. R. Acad. Sci., Paris200, 2052 (1935)

  59. [59]

    Min and P

    C. Min and P. Fang, The recurrence coefficients of orthog- onal polynomials with a weight interpolating between the laguerre weight and the exponential cubic weight, Math- ematics11, 3842 (2023)

  60. [60]

    A. P. Magnus and V. Pierrard, Formulas for recur- rence coefficients of orthogonal polynomials related to lorentzian-like weights, Journal of Computational and Applied Mathematics219, 431 (2008)

  61. [61]

    Gautschi, Orthogonal polynomials: applications and computation, Acta numerica5, 45 (1996)

    W. Gautschi, Orthogonal polynomials: applications and computation, Acta numerica5, 45 (1996)

  62. [62]

    Koekoek, P

    R. Koekoek, P. A. Lesky, and R. F. Swarttouw,Hyperge- ometric Orthogonal Polynomials and Their q-Analogues (Springer Berlin Heidelberg, 2010)

  63. [63]

    Umarov, C

    S. Umarov, C. Tsallis, and S. Steinberg, On a q-central limit theorem consistent with nonextensive statistical mechanics, Milan Journal of Mathematics76, 307–328 (2008). 13

  64. [64]

    Vignat, Old and new results about relativistic hermite polynomials, J

    C. Vignat, Old and new results about relativistic hermite polynomials, J. Math. Phys.52, 093503 (2011)

  65. [65]

    Tsallis, S

    C. Tsallis, S. V. F. Levy, A. M. C. Souza, and R. May- nard, Statistical-mechanical foundation of the ubiquity of l´ evy distributions in nature, Phys. Rev. Lett.75, 3589 (1995)

  66. [66]

    M. J. Stanley, C. Matthiesen, J. Hansom, C. Le Gall, C. H. H. Schulte, E. Clarke, and M. Atat¨ ure, Dynamics of a mesoscopic nuclear spin ensemble interacting with an optically driven electron spin, Phys. Rev. B90, 195305 (2014)

  67. [67]

    Lugiato, F

    L. Lugiato, F. Prati, and M. Brambilla, Inhomogeneous broadening, inNonlinear Optical Systems(Cambridge University Press, 2015) p. 170–176

  68. [68]

    Gupta, H

    R. Gupta, H. S. Dhar, and F. Mintert, Optimally con- trolled storage of a qubit in an inhomogeneous spin en- semble, Accompanying manuscript (2026)

  69. [69]

    D. O. Krimer, M. Zens, and S. Rotter, Critical phenom- ena and nonlinear dynamics in a spin ensemble strongly coupled to a cavity. i. semiclassical approach, Phys. Rev. A100, 013855 (2019)

  70. [70]

    S. Putz, A. Angerer, D. O. Krimer, R. Glattauer, W. J. Munro, S. Rotter, J. Schmiedmayer, and J. Majer, Spec- tral hole burning and its application in microwave pho- tonics, Nature Photonics11, 36 (2017)

  71. [71]

    H. A. R. El-Ella, A. Huck, and U. L. Andersen, Contin- uous microwave hole burning and population oscillations in a diamond spin ensemble, Phys. Rev. B100, 214407 (2019)

  72. [72]

    Sandner, H

    K. Sandner, H. Ritsch, R. Ams¨ uss, C. Koller, T. N¨ obauer, S. Putz, J. Schmiedmayer, and J. Majer, Strong magnetic coupling of an inhomogeneous nitrogen-vacancy ensemble to a cavity, Phys. Rev. A85, 053806 (2012)

  73. [73]

    E. P. Wigner, Random matrices in physics, SIAM review 9, 1 (1967)

  74. [74]

    Erd˝ os, B

    L. Erd˝ os, B. Schlein, and H.-T. Yau, Local semicircle law and complete delocalization for wigner random matrices, Communications in Mathematical Physics287, 641–655 (2008)

  75. [75]

    J. L. Rubio, D. Viscor, J. Mompart, and V. Ahufinger, Atomic-frequency-comb quantum memory via piecewise adiabatic passage, Phys. Rev. A98, 043834 (2018)

  76. [76]

    Debnath, A

    K. Debnath, A. H. Kiilerich, A. Benseny, and K. Mølmer, Coherent spectral hole burning and qubit isolation by stimulated raman adiabatic passage, Phys. Rev. A100, 023813 (2019)

  77. [77]

    Laplane, P

    C. Laplane, P. Jobez, J. Etesse, N. Timoney, N. Gisin, and M. Afzelius, Multiplexed on-demand storage of po- larization qubits in a crystal, New J. Phys.18, 013006 (2015)

  78. [78]

    H. S. Dhar, M. Zens, D. O. Krimer, and S. Rotter, Vari- ational renormalization group for dissipative spin-cavity systems: Periodic pulses of nonclassical photons from mesoscopic spin ensembles, Phys. Rev. Lett.121, 133601 (2018)

  79. [79]

    M. Zens, D. O. Krimer, H. S. Dhar, and S. Rotter, Peri- odic cavity state revivals from atomic frequency combs, Phys. Rev. Lett.127, 180402 (2021)

  80. [80]

    Liu and A

    Z. Liu and A. Narayan, On the computation of recurrence coefficients for univariate orthogonal polynomials, J. Sci. Comput.88(2021)

Showing first 80 references.