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Observable trace sequences enable algebraic reconstruction of non-Hermitian Floquet monodromy matrices.

Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →

T0 review · grok-4.3

2026-06-30 13:07 UTC pith:JH3O2UPP

load-bearing objection The paper turns trace reconstruction in non-Hermitian Floquet systems into a standard algebraic problem via Cayley-Hamilton and adds a useful identifiability discussion, but the contribution is mostly framing.

arxiv 2605.24555 v2 pith:JH3O2UPP submitted 2026-05-23 quant-ph cond-mat.mes-hallmath-phmath.MP

Algebraic Tomography of Non-Hermitian Floquet Systems from Observable Traces

classification quant-ph cond-mat.mes-hallmath-phmath.MP
keywords algebraic tomographynon-Hermitian Floquetobservable tracesmonodromy matrixspectral reconstructionCayley-Hamilton methodHankel methodidentifiability
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

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

The paper shows that trace sequences from observables on finite-dimensional non-Hermitian Floquet systems are governed by the characteristic polynomial of the monodromy matrix, converting the tomography task into an algebraic problem of recovering spectral data. It organizes this through the observable resolvent and spectral determinant to isolate the shared spectrum from observable-specific effects. Cayley-Hamilton and Hankel methods are used to extract similarity-invariant information from the sequences. This matters because it offers a structured alternative to fitting exponential decays in driven quantum systems where non-Hermiticity and periodicity are present.

Core claim

The central discovery is that the inverse problem for reconstructing the monodromy matrix M from sequences ζ_n^(O) = Tr(O M^n) is finite-dimensional and algebraic because the sequences satisfy the recurrence from the characteristic polynomial of M, allowing recovery of spectral data via resolvent and determinant constructions, with Cayley-Hamilton and Hankel methods providing the reconstruction while accounting for visible and invisible sectors.

What carries the argument

The observable resolvent and spectral determinant, which separate the common spectral skeleton from observable-dependent dressing.

Load-bearing premise

The trace sequences are exactly constrained by the characteristic polynomial of the monodromy matrix M, and the extracted visible representative captures the essential information.

What would settle it

A counterexample where the Hankel matrix rank or the reconstructed characteristic polynomial fails to reproduce the original trace sequence within numerical precision would falsify the algebraic reconstruction claim.

Watch this falsifier — get emailed when new claim-graph text bears on it.

If this is right

  • The data determine a visible representative of the monodromy matrix.
  • Micromotion enlarges the sampled visible operator space.
  • Exact symmetries leave residual invisible sectors.
  • Multi-observable extensions connect to realization theory.
  • Examples demonstrate leakage-induced visibility expansion and EP-accessible branch geometry.

Where Pith is reading between the lines

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

  • If the algebraic reconstruction holds, it could simplify experimental tomography in driven open quantum systems by reducing data requirements to recurrence relations.
  • Connections to Liouville-space methods suggest extensions to higher-dimensional operator spaces for more complete identification.
  • Disorder and probe dependence in observable-dimension readouts may allow mapping of system parameters without full state tomography.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

0 major / 3 minor

Summary. The paper formulates Floquet algebraic tomography for finite-dimensional non-Hermitian monodromy matrices M from observable trace sequences ζ_n^(O) = Tr(O M^n). It shows that these sequences obey the linear recurrence from the characteristic polynomial of M (via Cayley-Hamilton), turning the inverse problem into algebraic reconstruction of similarity-invariant spectral data using Hankel matrices and Prony-type methods rather than generic exponential fitting. The framework organizes reconstruction via the observable resolvent, spectral determinant, and Dirichlet spectral data, separating the common spectral skeleton from observable-dependent dressing; it extends to multi-observable and Liouville-space settings, connects to realization theory, and analyzes identifiability limits through visible representatives, micromotion, and invisible sectors induced by symmetries. Two concrete examples (driven transmon qutrit and finite non-Hermitian Floquet SSH chain) illustrate leakage-induced visibility expansion, observable-dependent phase response, EP branch geometry, and disorder/probe-dependent readouts.

Significance. If the algebraic reconstruction is rigorously established, the work provides a parameter-free, finite-dimensional method for spectral tomography in non-Hermitian Floquet systems that directly exploits the Cayley-Hamilton constraint on trace sequences. This is significant for experimental characterization of open quantum systems, where non-unitary evolution precludes standard unitary tomography; the explicit separation of spectral invariants from dressing, the treatment of identifiability limits, and the link to realization theory constitute clear strengths. The examples demonstrate practical applicability to leakage and exceptional-point phenomena.

minor comments (3)
  1. [Abstract / identifiability section] Abstract and § on identifiability limits: the phrase 'Dirichlet spectral data' is introduced without an explicit definition or reference to its standard meaning in the context of the resolvent; a one-sentence clarification would improve accessibility.
  2. [Examples] Examples section: while the transmon and SSH demonstrations are mentioned, the manuscript would benefit from a short table or figure explicitly comparing the algebraically recovered characteristic polynomial coefficients against the known values of M in each case.
  3. [Multi-observable extension] Notation: the symbol ζ_n^(O) is used consistently, but the transition from single-observable to multi-observable and Liouville-space extensions would be clearer with an explicit statement of how the Hankel matrix rank changes with the number of observables.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for the positive summary, significance assessment, and recommendation of minor revision. No major comments were provided in the report.

Circularity Check

0 steps flagged

No significant circularity; derivation rests on standard theorems

full rationale

The paper's central claim—that trace sequences ζ_n^(O) obey a linear recurrence from the characteristic polynomial of M, enabling algebraic reconstruction via Cayley-Hamilton and Hankel methods—is a direct application of the standard Cayley-Hamilton theorem, which holds independently for any finite-dimensional matrix and is not derived from or fitted to the paper's own data or prior self-citations. The framework separates spectral skeleton from observable-dependent terms using established realization theory and addresses identifiability limits without reducing any prediction to a fitted parameter renamed as output. No self-citation chains, ansatzes smuggled via citation, or self-definitional steps are present in the described derivation. This is the normal case of a self-contained application of linear algebra to Floquet traces.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The framework rests on the domain assumption that trace sequences obey the characteristic polynomial of M; no free parameters or invented entities are introduced in the abstract.

axioms (1)
  • domain assumption Observable trace sequences ζ_n^(O) = Tr(O M^n) are constrained by the characteristic polynomial of the monodromy matrix M
    This constraint converts the inverse problem into algebraic reconstruction.

pith-pipeline@v0.9.1-grok · 5724 in / 1266 out tokens · 23949 ms · 2026-06-30T13:07:00.841949+00:00 · methodology

0 comments
read the original abstract

We formulate a framework of Floquet algebraic tomography for finite-dimensional non-Hermitian monodromy matrices from observable trace sequences $\zeta_n^{(O)}={\rm Tr}(OM^n)$. Since these sequences are constrained by the characteristic polynomial of $M$, the inverse problem is a finite-dimensional algebraic reconstruction problem rather than a generic exponential fit. We organize the reconstruction through the observable resolvent, spectral determinant, and Dirichlet spectral data, separating the common spectral skeleton from observable-dependent dressing. Cayley--Hamilton and Hankel methods recover the similarity-invariant spectral data, while multi-observable and Liouville-space extensions connect the construction to realization theory and tomography reconstruction. We further clarify the limits of identifiability from restricted observable algebras: the data determine a visible representative, micromotion can enlarge the sampled visible operator space, and exact symmetries impose residual invisible sectors. Two examples, a driven transmon qutrit and a finite non-Hermitian Floquet SSH chain, demonstrate leakage-induced visibility expansion, observable-dependent phase response, EP-accessible branch geometry, and disorder/probe-dependent observable-dimension readouts.

Figures

Figures reproduced from arXiv: 2605.24555 by Syo Kamata.

Figure 1
Figure 1. Figure 1: FIG. 1: Reconstruction errors for the DTQ3 from a single observable [PITH_FULL_IMAGE:figures/full_fig_p029_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2: Near-degeneracy point characterized in the two-parameter plane of the bare energy [PITH_FULL_IMAGE:figures/full_fig_p029_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3: Complex-plane trajectories of the ODSD [PITH_FULL_IMAGE:figures/full_fig_p030_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4: (Left) Drive-induced redistribution of the mode-wise phase accumulation observed by [PITH_FULL_IMAGE:figures/full_fig_p031_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5: Sampled observable dimension [PITH_FULL_IMAGE:figures/full_fig_p032_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6: Permutation and exchange of Floquet eigenvalues around the EP-accessible neighborhood in the finite-size [PITH_FULL_IMAGE:figures/full_fig_p036_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7: Observable response evaluated from the OSD at [PITH_FULL_IMAGE:figures/full_fig_p037_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: FIG. 8: Observable-visible readout of winding-related structure along the twist cycle [PITH_FULL_IMAGE:figures/full_fig_p037_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: FIG. 9: Sampled observable-dimension growth [PITH_FULL_IMAGE:figures/full_fig_p039_9.png] view at source ↗

discussion (0)

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Reference graph

Works this paper leans on

68 extracted references · 68 canonical work pages · 2 internal anchors

  1. [1]

    28 Purpose / figure Parameters Reconstruction check (Fig

    WeprovideaminimalGL(3,C)Floquetsettingthatexplicitlyverifiesthealgebraicreconstructionofthecommon spectral skeleton from a single observable channel. 28 Purpose / figure Parameters Reconstruction check (Fig. 1) A= 0.94,B=A/2,E 1 ∈[0.02,2.02](101 points). Near-degeneracy regime (Fig. 2) A∈[0.75,0.95]andE 1 ∈[0.05,0.14](81×81grid),B=A/2. Visibility mismatch...

  2. [2]

    We examine the distinction between the common spectral skeleton and observable-dependent dressing by study- ing how drive-induced mode mixing changes the visible phase response relative to the global determinant-phase accumulation

  3. [3]

    We use the micromotion-expanded observable dimensionDobs = rank(K0)to test whether the qubit-population observable remains confined to the invariant qubit sector or expands to the full qutrit operator space through coherent leakage. B. Numerical experiments

  4. [4]

    Algebraic reconstruction from a single observable WefirstchecktheGL(N,C)structureusingtherecurrencerelationinEq.(24)andthePronyreconstruction, whichis summarized in App. A1. We useOqub in Eq.(134) and numerically reconstruct the common spectral skeleton, namely the characteristic coefficients{ea}3 a=1 and the spectrum{λ j}3 j=1, from the first six points ...

  5. [5]

    Observable phase visibility and level allocation near DPs We first identify the parameter regime near degeneracy points. Fig. 2 visualizes this near-degeneracy point through the spectral gap and the condition number ofU,δλandκ(U), defined as δλ:= min i<j |λi −λ j|, κ(U) :=∥U∥ 2 · ∥U −1∥2,(136) in theE1-Aplane, where∥U∥ 2 is the matrix-norm ofU= (|u1⟩,|u 2...

  6. [6]

    HereDobs is not the recurrence order of a single scalar OTS

    Tracking the dimensionality of the visible operator space We next use the DTQ3 model to illustrate how the observable dimensionDobs detects the enlargement of the visible operator space caused by coherent leakage. HereDobs is not the recurrence order of a single scalar OTS. Rather, following the definition in Sec. IVC, it is computed as the rank of the sa...

  7. [7]

    We use an EP-accessible finite-size NHFSSH chain to test how a branch-sensitive spectral skeleton is filtered into observable-dependent visible readouts, from local EP-neighborhood responses to winding-related responses along a twist cycle

  8. [8]

    We use the sampled observable dimensionDobs = rank(K 0)to quantify the finite-sampling visibility of the operator space under symmetry, disorder, and probe choice, without identifying this sampled rank with a sharp symmetry-wall saturation. B. Numerical experiments

  9. [9]

    Local EP response and global winding Readout The central utility of the present framework lies in its ability to distinguish between the common spectral skeleton, or shadow-level structure, and the channel-dependent output (the visible level). To demonstrate this, we first establish the local spectral geometry underlying the NHFSSH chain and then examine ...

  10. [10]

    In this subsection,Dobs is understood in the sampled sense introduced in Sec

    Observable-dimension growth under symmetry and disorder We next examine how the observable dimensionDobs depends on the choice of observable and on the disorder profile in the finite NHFSSH chain. In this subsection,Dobs is understood in the sampled sense introduced in Sec. IVC: it is the rank of the sampled micromotion-expanded observable map, as in Eq.(...

  11. [11]

    We restrict ourselves here to the diagonalizable case with simple spectrum

    Prony reconstruction of the spectrum and observable coefficients In this part, we briefly explain how to reconstruct the spectrum{λj}N j=1 and the observable coefficients{c(O) j }N j=1 from the OTS once the rankNand the characteristic coefficients{ea}N a=1 have been identified. We restrict ourselves here to the diagonalizable case with simple spectrum. Th...

  12. [12]

    determine{e a}N a=1 from the CH recurrence,

  13. [13]

    This is precisely the classical Prony reconstruction in the present context

    solve Eq.(A2) for{λj}N j=1 and then solve Eq.(A3) for{c(O) j }N j=1. This is precisely the classical Prony reconstruction in the present context. The role of the annihilating polynomial is played by the characteristic polynomialP(λ)in Eq.(A1), while the amplitudes are the observable coefficients, {c(O) j }j. The essential difference from a purely phenomen...

  14. [14]

    Arbitrary-stepsize Cayley–Hamilton interpolation In this appendix, we give the detailed formulas for the arbitrary-stepsize generalization of the CH recurrence used in Sec. IIIA. The ordinary CH recurrence for the OTS (24) consists of the one-step sequence{ζ(O) n+N , ζ(O) n+N−1 ,· · ·, ζ (O) n }. Since onlyNpointsintheOTSareindependent, onemaygeneralizeEq...

  15. [15]

    Below, we assume the SS and EP cases

    Multi-observable realization and similarity In this appendix, we give the detailed derivation of the multi-observable realization and the fact that the realized monodromy matrix is equivalent to the exact monodromy matrix,M, up to similarity transform. Below, we assume the SS and EP cases. We define a vector of the OTS with a fixednmeasured by{Oℓ}L ℓ=1 as...

  16. [16]

    1 We begin with two lemmas that make explicit the visible/invisible decomposition associated with the observable algebra

    Proof of Prop. 1 We begin with two lemmas that make explicit the visible/invisible decomposition associated with the observable algebra. Lemma 1(Finite-dimensional visible decomposition).LetO⊂End(H)be a finite-dimensional unital∗-subalgebra. Then, there exists an orthogonal decomposition given by H= JM j=1 (Hj ⊗ Mj)(B2) 47 such that O ∼= JM j=1 End(Hj)⊗I ...

  17. [17]

    2 We next prove Prop

    Proof of Prop. 2 We next prove Prop. 2. The key point is that micromotion enlarges the observable algebra, but exact commuting symmetries survive this enlargement. In order to make a proof for the proposition, let us consider the following lemma: Lemma 3(Micromotion preserves commuting symmetries).Let O(t) :=U(t,0) −1O U(t,0).(B22) If an operatorQsatisfie...

  18. [18]

    Solution of the Schr

    J. H. Shirley, “Solution of the Schr"odinger equation with a hamiltonian periodic in time,”Physical Review138no. 4B, (1965) B979–B987. 50

  19. [19]

    Steady states and quasienergies of a quantum-mechanical system in an oscillating field,

    H. Sambe, “Steady states and quasienergies of a quantum-mechanical system in an oscillating field,”Physical Review A7 no. 6, (1973) 2203–2213

  20. [20]

    Stationary scattering theory for time-dependent hamiltonians,

    J. S. Howland, “Stationary scattering theory for time-dependent hamiltonians,”Mathematische Annalen207no. 4, (Dec,

  21. [21]

    Edge states and topological invariants of non-hermitian systems,

    S. Yao and Z. Wang, “Edge states and topological invariants of non-hermitian systems,”Physical Review Letters121 no. 8, (2018) 086803

  22. [22]

    Topological phases of non-hermitian systems,

    Z. Gong, Y. Ashida, K. Kawabata, K. Takasan, S. Higashikawa, and M. Ueda, “Topological phases of non-hermitian systems,”Physical Review X8no. 3, (2018) 031079

  23. [23]

    Topological origin of non-hermitian skin effects,

    N. Okuma, K. Kawabata, K. Shiozaki, and M. Sato, “Topological origin of non-hermitian skin effects,”Physical Review Letters124no. 8, (2020) 086801

  24. [24]

    Non-hermitian physics,

    Y. Ashida, Z. Gong, and M. Ueda, “Non-hermitian physics,”Advances in Physics69no. 3, (2021) 249–435

  25. [25]

    Exceptional topology of non-hermitian systems,

    E. J. Bergholtz, J. C. Budich, and F. K. Kunst, “Exceptional topology of non-hermitian systems,”Reviews of Modern Physics93no. 1, (2021) 015005

  26. [26]

    Non-hermitian topology and exceptional-point geometries,

    K. Ding, C. Fang, and G. Ma, “Non-hermitian topology and exceptional-point geometries,”Nature Reviews Physics4 (2022) 745–760

  27. [27]

    Non-hermitian floquet topological phases: Exceptional points, coalescent edge modes, and the skin effect,

    X. Zhang and J. Gong, “Non-hermitian floquet topological phases: Exceptional points, coalescent edge modes, and the skin effect,”Physical Review B101no. 4, (2020) 045415

  28. [28]

    Floquet topological phases of non-hermitian systems,

    H. Wu and J.-H. An, “Floquet topological phases of non-hermitian systems,”Physical Review B102no. 4, (2020) 041119(R)

  29. [29]

    Non-hermitian floquet topological matter—a review,

    L. Zhou and D.-J. Zhang, “Non-hermitian floquet topological matter—a review,”Entropy25no. 10, (2023) 1401

  30. [30]

    Exact-WKB, complete resurgent structure, and mixed anomaly in quantum mechanics onS1,

    N. Sueishi, S. Kamata, T. Misumi, and M. Ünsal, “Exact-WKB, complete resurgent structure, and mixed anomaly in quantum mechanics onS1,”Journal of High Energy Physics2021no. 7, (2021) 096

  31. [31]

    Exact wentzel–kramers–brillouin (wkb) analysis of two-level floquet systems,

    T. Fujimori, S. Kamata, T. Misumi, N. Sueishi, and H. Taya, “Exact wentzel–kramers–brillouin (wkb) analysis of two-level floquet systems,”Progress of Theoretical and Experimental Physics2025no. 10, (2025) 103A02

  32. [32]

    PT-Symmetric Quantum Mechanics,

    C. M. Bender, S. Boettcher, and P. N. Meisinger, “PT-Symmetric Quantum Mechanics,”Journal of Mathematical Physics40(1999) 2201–2229

  33. [33]

    PT Symmetry Breaking and Exceptional Points for a Class of Inhomogeneous Complex Potentials,

    P. Dorey, C. Dunning, A. Lishman, and R. Tateo, “PT Symmetry Breaking and Exceptional Points for a Class of Inhomogeneous Complex Potentials,”Journal of Physics A: Mathematical and Theoretical42(2009) 465302

  34. [34]

    Exact WKB analysis of inverted triple-well: resonance, PT-symmetry breaking, and resurgence

    S. Kamata, T. Misumi, C. Pazarbaşı, and H. Taya, “Exact WKB analysis of inverted triple-well: Resonance, PT-symmetry breaking, and resurgence,”arXiv:2604.05878 [hep-th]

  35. [35]

    Essai experimental et analytique sur les lois de la dilatabilite de fluides elastiques et sur celles da la force expansion de la vapeur de l’alcool, a differentes temperatures,

    R. Prony, “Essai experimental et analytique sur les lois de la dilatabilite de fluides elastiques et sur celles da la force expansion de la vapeur de l’alcool, a differentes temperatures,”Journal de l’Ecole Polytechnique1no. 2, (1795)

  36. [36]

    Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise,

    Y. Hua and T. K. Sarkar, “Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise,”IEEE Transactions on Acoustics, Speech, and Signal Processing38no. 5, (1990) 814–824

  37. [37]

    M. R. Wall and D. Neuhauser, “Extraction, through filter-diagonalization, of general quantum eigenvalues or classical normal mode frequencies from a small number of residues or a short-time segment of a signal. i. theory and application to a quantum-dynamics model,”Journal of Chemical Physics102(1995) 8011–8022

  38. [38]

    Harmonic inversion of time signals and its applications,

    V. A. Mandelshtam and H. S. Taylor, “Harmonic inversion of time signals and its applications,”Journal of Chemical Physics107(1997) 6756–6769

  39. [39]

    Harmonic inversion as a general method for periodic orbit quantization,

    J. Main, V. A. Mandelshtam, G. Wunner, and H. S. Taylor, “Harmonic inversion as a general method for periodic orbit quantization,”Nonlinearity11no. 4, (1998) 1015–1035

  40. [40]

    Effective construction of linear state-variable models from input/output functions,

    B. L. Ho and R. E. Kalman, “Effective construction of linear state-variable models from input/output functions,” Regelungstechnik14(1966) 545–548

  41. [41]

    Kailath,Linear Systems

    T. Kailath,Linear Systems. Prentice-Hall, Englewood Cliffs, NJ, 1980

  42. [42]

    An eigensystem realization algorithm for modal parameter identification and model reduction,

    J.-N. Juang and R. S. Pappa, “An eigensystem realization algorithm for modal parameter identification and model reduction,”Journal of Guidance, Control, and Dynamics8no. 5, (1985) 620–627

  43. [43]

    Esprit-estimation of signal parameters via rotational invariance techniques,

    R. Roy and T. Kailath, “Esprit-estimation of signal parameters via rotational invariance techniques,”IEEE Transactions on Acoustics, Speech, and Signal Processing37no. 7, (1989) 984–995

  44. [44]

    N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems,

    P. Van Overschee and B. De Moor, “N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems,”Automatica30no. 1, (1994) 75–93

  45. [45]

    Van Overschee and B

    P. Van Overschee and B. De Moor,Subspace Identification for Linear Systems: Theory—Implementation—Applications. Springer, Boston, 1996

  46. [46]

    Complete characterization of a quantum process: The two-bit quantum gate,

    J. F. Poyatos, J. I. Cirac, and P. Zoller, “Complete characterization of a quantum process: The two-bit quantum gate,” 51 Physical Review Letters78no. 2, (1997) 390–393

  47. [47]

    Prescription for experimental determination of the dynamics of a quantum black box,

    I. L. Chuang and M. A. Nielsen, “Prescription for experimental determination of the dynamics of a quantum black box,” Journal of Modern Optics44no. 11-12, (1997) 2455–2467

  48. [48]

    Self-consistent quantum process tomography,

    S. T. Merkel, J. M. Gambetta, J. A. Smolin, S. Poletto, A. D. Córcoles, B. R. Johnson, C. A. Ryan, and M. Steffen, “Self-consistent quantum process tomography,”Physical Review A87no. 6, (2013) 062119

  49. [49]

    Robust, self-consistent, closed-form tomography of quantum logic gates on a trapped ion qubit

    R. Blume-Kohout, J. K. Gamble, E. Nielsen, J. Mizrahi, J. D. Sterk, and P. Maunz, “Robust, self-consistent, closed-form tomography of quantum logic gates on a trapped ion qubit,”arXiv:1310.4492 [quant-ph]

  50. [50]

    Spectroscopic signatures of localization with interacting photons in superconducting qubits,

    P. Roushan, C. Neill, J. Tangpanitanon, V. M. Bastidas, A. Megrant, R. Barends, Y. Chen, Z. Chen, B. Chiaro, A. Dunsworth, A. Fowler, B. Foxen, M. Giustina, E. Jeffrey, J. Kelly, E. Lucero, J. Mutus, M. Neeley, C. Quintana, D. Sank, A. Vainsencher, J. Wenner, T. White, H. Neven, D. G. Angelakis, and J. M. Martinis, “Spectroscopic signatures of localizatio...

  51. [51]

    The randomized measurement toolbox,

    A. Elben, S. T. Flammia, H.-Y. Huang, R. Kueng, J. Preskill, B. Vermersch, and P. Zoller, “The randomized measurement toolbox,”Nature Rev. Phys.5no. 1, (2023) 9–24

  52. [52]

    Bratteli and D

    O. Bratteli and D. W. Robinson,Operator Algebras and Quantum Statistical Mechanics 1:C∗- andW ∗-Algebras, Symmetry Groups, Decomposition of States. Springer, Berlin, 2 ed., 1987

  53. [53]

    R. V. Kadison and J. R. Ringrose,Fundamentals of the Theory of Operator Algebras, Volume I: Elementary Theory, vol. 15 ofGraduate Studies in Mathematics. American Mathematical Society, Providence, RI, 1997

  54. [54]

    Takesaki,Theory of Operator Algebras I

    M. Takesaki,Theory of Operator Algebras I. Springer, Berlin, 2002

  55. [55]

    Quantum tensor product structures are observable induced,

    P. Zanardi, D. A. Lidar, and S. Lloyd, “Quantum tensor product structures are observable induced,”Physical Review Letters92no. 6, (2004) 060402

  56. [56]

    Constructing qubits in physical systems,

    L. Viola, E. Knill, and R. Laflamme, “Constructing qubits in physical systems,”Journal of Physics A: Mathematical and General34no. 35, (2001) 7067–7079

  57. [57]

    Anomalous edge states and the bulk-edge correspondence for periodically driven two-dimensional systems,

    M. S. Rudner, N. H. Lindner, E. Berg, and M. Levin, “Anomalous edge states and the bulk-edge correspondence for periodically driven two-dimensional systems,”Physical Review X3no. 3, (2013) 031005

  58. [58]

    Topology and broken symmetry in floquet systems,

    F. Harper, R. Roy, A. S. Christensen, and R.-J. Slager, “Topology and broken symmetry in floquet systems,”Annual Review of Condensed Matter Physics11(2020) 345–368

  59. [59]

    Notions of controllability for bilinear multilevel quantum systems,

    F. Albertini and D. D’Alessandro, “Notions of controllability for bilinear multilevel quantum systems,”IEEE Transactions on Automatic Control48no. 8, (2003) 1399–1403

  60. [60]

    Local observability of quantum networks,

    D. Burgarth, S. Bose, C. Bruder, and V. Giovannetti, “Local observability of quantum networks,”Physical Review A79 no. 6, (2009) 060305

  61. [61]

    Charge-insensitive qubit design derived from the Cooper pair box,

    J. Koch, T. M. Yu, J. Gambetta, A. A. Houck, D. I. Schuster, J. Majer, A. Blais, M. H. Devoret, S. M. Girvin, and R. J. Schoelkopf, “Charge-insensitive qubit design derived from the Cooper pair box,”Physical Review A76no. 4, (2007) 042319

  62. [62]

    Simple pulses for elimination of leakage in weakly nonlinear qubits,

    F. Motzoi, J. M. Gambetta, P. Rebentrost, and F. K. Wilhelm, “Simple pulses for elimination of leakage in weakly nonlinear qubits,”Physical Review Letters103no. 11, (2009) 110501

  63. [63]

    Solitons in polyacetylene,

    W. P. Su, J. R. Schrieffer, and A. J. Heeger, “Solitons in polyacetylene,”Physical Review Letters42no. 25, (1979) 1698–1701

  64. [64]

    Kato,Perturbation Theory for Linear Operators

    T. Kato,Perturbation Theory for Linear Operators. Classics in Mathematics. Springer, Berlin, 1995

  65. [65]

    T-systems and Y-systems in integrable systems,

    A. Kuniba, T. Nakanishi, and J. Suzuki, “T-systems and Y-systems in integrable systems,”Journal of Physics A: Mathematical and Theoretical44no. 10, (2011) 103001

  66. [66]

    Quasistationary distributions of dissipative nonlinear quantum oscillators in strong periodic driving fields,

    H.-P. Breuer, W. Huber, and F. Petruccione, “Quasistationary distributions of dissipative nonlinear quantum oscillators in strong periodic driving fields,”Physical Review E61no. 5, (2000) 4883–4889

  67. [67]

    Driven quantum transport on the nanoscale,

    S. Kohler, J. Lehmann, and P. Hänggi, “Driven quantum transport on the nanoscale,”Physics Reports406no. 6, (2005) 379–443

  68. [68]

    J. K. Asbóth, L. Oroszlány, and A. Pályi,A Short Course on Topological Insulators: Band Structure and Edge States in One and Two Dimensions, vol. 919 ofLecture Notes in Physics. Springer, Cham, 2016