REVIEW 5 minor 36 references
Phaseless Schrödinger data on a finite connected graph recover every initial state up to global phase for almost every real potential.
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-4.5
2026-07-30 23:28 UTC pith:NBK3ECXV
load-bearing objection Clean spectral uniqueness criterion for phaseless Schrödinger evolution on finite graphs, with explicit and generic good potentials; solid subfield advance, no load-bearing gaps.
Dynamical phase retrieval for Schr{\"o}dinger evolution on finite graphs
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
If a graph Schrödinger operator H_Q = Δ_G + Q satisfies the B₂ spectrum condition, invertibility of the squared-eigenvector matrix, and pairwise support overlap of eigenvectors, then the map sending an initial state u₀ to the family of moduli |e^{-it H_Q} u₀(j)| uniquely determines u₀ up to global phase. These three conditions are realized by an explicit diagonal potential on every finite connected graph and hold for almost every real Q.
What carries the argument
The triple of spectral conditions B₂–(I)–(S): B₂ forces the intensity identities to decouple into modulus and cross-term equations; (I) recovers the individual mode moduli; (S) makes the overlap graph complete so a single unimodular phase propagates to all modes.
Load-bearing premise
Every pair of eigenvectors must share at least one vertex; if two modes live on disjoint sets of vertices, independent phases can be assigned without changing any observed intensity.
What would settle it
On any fixed connected graph, compute the spectrum and eigenvectors of H_Q for a concrete diagonal Q; check whether the pairwise sums λ_j+λ_k are all distinct, whether det(φ_k(j)²) is nonzero, and whether every pair of eigenvectors has a common nonzero coordinate—if any check fails and two non-equivalent initial states still produce identical |e^{-it H_Q}u(j)|, the uniqueness claim is false for that operator.
If this is right
- Continuous-time phaseless measurements can be replaced by finitely many sampling times without losing uniqueness.
- Every finite connected graph admits an explicit, constructible potential that makes Schrödinger phase retrieval hold for every initial state.
- Uniqueness is generic: the exceptional potentials form a proper algebraic set of Lebesgue measure zero.
- Disconnected graphs, multiple eigenvalues, and eigenvectors with disjoint supports each produce concrete non-uniqueness counter-examples.
- The same spectral criterion applies verbatim to any real symmetric matrix observed in a fixed coordinate basis.
Where Pith is reading between the lines
- The free Laplacian (Q=0) is systematically excluded by failure of condition (I), so any practical recovery scheme on unweighted graphs will need a designed or random on-site potential.
- Because the good potentials are Zariski-open, random diagonal disorder of arbitrarily small amplitude already yields uniqueness with probability one, suggesting a simple experimental prescription.
- The frame-theoretic reformulation indicates that the same three conditions could certify phase retrieval for other continuous frames generated by unitary groups, not only Schrödinger evolution.
- Algorithmic recovery remains open; existing PhaseLift or alternating-projection methods could be tested directly on the finite sampled frame produced by the paper’s finite-time sampling result.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper studies dynamical phase retrieval for the Schrödinger evolution e^{-it H_Q} on a finite connected graph, with H_Q = Δ_G + Q a real diagonal perturbation of the combinatorial Laplacian. The central result (Theorem 1.5) gives a spectral uniqueness criterion: if the eigenvalues form a B_2-set, the squared-eigenvector matrix (φ_k(j)^2) is invertible (Condition (I)), and every pair of eigenvectors has overlapping support (Condition (S)), then the phaseless data |e^{-it H_Q} u_0(j)| for t ∈ [0,T] and all vertices determine every initial state uniquely up to global phase. The authors then prove that every connected graph admits an explicit diagonal potential realizing the three conditions (Proposition 3.1), and that the conditions hold for Lebesgue-almost every real Q (Theorem 1.6), via non-vanishing of polynomial discriminants/determinants and a cyclic-vector argument for full support. Several sharp obstructions (disconnected graphs, multiple eigenvalues, failure of (S), two-mode swapping) are identified, and intermediate examples show that B_2 and (I) are not always necessary for uniqueness.
Significance. The work cleanly transplants the Schrödinger–Pauli / dynamical phase-retrieval question to finite graphs and supplies a usable spectral criterion together with both an explicit construction and a genericity theorem. The reduction via exponential independence, the phase-propagation argument on the eigenvector-overlap graph Γ_Q, and the algebraic-genericity proofs are standard but carefully executed; the separation between uniqueness for every state (completeness of Γ_Q) and almost-everywhere-in-state uniqueness (connectedness of Γ_Q) is particularly clear. The finite-time sampling observation and the frame-measurement variant broaden the scope. The paper is a solid contribution to spectral graph theory and structured phase retrieval.
minor comments (5)
- [Title / §4.2] Title page / running head: “DYNAMICAL PHASE RETRIEV AL” and “F ailure of Condition (S)” contain stray spaces; fix throughout.
- [Example 2.6] In Example 2.6 the difference table and the four positive frequencies are asserted to be pairwise distinct; a one-line verification that 0 < 2β < α−β < α+β < 2α for the concrete α,β would help the reader.
- [§3.1] Proposition 3.1: the constant R = R(G) is existential. A brief remark on how large ρ must be in terms of n and M = ∥A∥ would make the construction more immediately usable.
- [§2.5 / Introduction] Section 2.5 reformulates Condition (I) via the matrix B_Q of diagonal entries of powers of H_Q. Cross-referencing this reformulation earlier (e.g., when Condition (I) is first introduced) would improve readability.
- [§1.3, §3.2.3] A few references to continuous-frame phase retrieval and to controllability of graph Laplacians could be expanded slightly for readers coming from either community; the existing citations are adequate but sparse.
Circularity Check
No significant circularity: uniqueness and genericity are derived from spectral expansion, exponential independence, and non-vanishing of explicit polynomials.
full rationale
The central criterion (Theorem 1.5) is obtained directly from the spectral theorem: equality of intensities expands into a finite linear combination of distinct exponentials e^{-i(λ_k-λ_ℓ)t}; Condition B₂ plus Lemma 2.1 forces the algebraic system (2.1)–(2.2); Condition (I) collapses the diagonal block to |a_k|=|b_k|; Condition (S) makes the overlap graph complete so phases propagate to a single global factor (Proposition 2.3). None of B₂, (I), or (S) is defined in terms of the retrieval conclusion. Genericity (Theorem 1.6) is proved by exhibiting one explicit large-diagonal potential (Proposition 3.1 / scalings tC) at which the relevant discriminants and controllability determinants are nonzero, hence the exceptional sets are proper algebraic varieties of measure zero—standard and non-circular. There are no fitted constants, no data-driven “predictions,” and no load-bearing uniqueness theorem imported from the authors’ prior work; self-citations (e.g. Jaming’s free Schrödinger–Pauli paper) appear only as motivation. Obstructions (Section 4) are likewise derived, not assumed. The derivation chain is self-contained.
Axiom & Free-Parameter Ledger
axioms (6)
- standard math Real symmetric matrices are orthogonally diagonalizable with real eigenvalues and a real orthonormal eigenbasis (spectral theorem).
- standard math Distinct complex exponentials t ↦ e^{i μ_r t} are linearly independent on every nontrivial interval (Vandermonde).
- standard math The zero set of a non-identically-vanishing real polynomial on R^n has Lebesgue measure zero.
- standard math Weyl eigenvalue perturbation and Levy–Desplanques strict diagonal dominance imply invertibility for large diagonal potentials.
- domain assumption The underlying graph G is finite, undirected, simple, and connected; potentials Q are real and diagonal so that H_Q is self-adjoint and the evolution is unitary.
- domain assumption Observation times form a nondegenerate interval [0,T] (or a finite sampling set separating the relevant frequencies).
read the original abstract
We study dynamical phase retrieval for Schr\''odinger evolutions on finite connected graphs. Let \[ H\_Q=\Delta\_G+Q \] be a graph Schr\''odinger operator with a real diagonal potential. We investigate when phaseless data obtained from the associated Schr\''odinger evolution \[ |e^{-itH\_Q}u\_0(j)|, \qquad 0\leq t\leq T,\ j\in V, \] determines the initial state $u\_0\in\C^V$ up to a global phase. We give a uniqueness criterion in terms of the eigenvalues and eigenvectors of $H\_Q$. The assumptions are a $B\_2$ condition on the spectrum, meaning that the sums $\lambda\_j+\lambda\_k$ determine the unordered pair $\{j,k\}$, invertibility of the squared-eigenvector matrix $\bigl(\phi\_k(j)^2\bigr)\_{j,k}$ and an overlap condition on the supports of pairs of eigenvectors. Under these hypotheses, the phaseless Schr\''odinger data determine every initial state uniquely, modulo global phase. We then show that the criterion is both realized and generic. Every finite connected graph admits an explicit real diagonal potential for which the criterion holds. Moreover, for every finite connected graph, dynamical phase retrieval holds for Lebesgue-almost every real potential $Q\in\R^V$ and every $T>0$. We also give several obstructions to uniqueness.
Reference graph
Works this paper leans on
-
[1]
Aldroubi, I
A. Aldroubi, I. Krishtal, and S. Tang , Phaseless reconstruction from space–time samples , Appl. Comput. Harmon. Anal., 48 (2020), 395--414
2020
-
[2]
Allain, S
M. Allain, S. Aslan, W. Coene, S. Dirksen, J. Dong, J. Flamant, M. Iwen, F. Krahmer, T. van Leeuwen, O. Melnyk, A. Menzel, A. P. Mosk, V. Nikitin, P. Salanevich, G. Plonka, and M. Wellershoff , Phasebook: a survey of selected open problems in phase retrieval , Sampl. Theory Signal Process. Data Anal., 23 (2025) Article 23
2025
-
[3]
Balan, B
R. Balan, B. G. Bodmann, P. G. Casazza, and D. Edidin , Painless reconstruction from magnitudes of frame coefficients , J. Fourier Anal. Appl., 15 (2009), 488--501
2009
-
[4]
Balan, P
R. Balan, P. Casazza, and D. Edidin , On signal reconstruction without phase , Appl. Comput. Harmon. Anal., 20 (2006), 345--356
2006
-
[5]
Beinert and M
R. Beinert and M. Hasannasab , Phase retrieval and system identification in dynamical sampling via Prony’s method , Adv. Comput. Math. 49 (2023), Article 56
2023
-
[6]
H. H. Bauschke, P. L. Combettes, and D. R. Luke , Phase retrieval, error reduction algorithm, and Fienup variants: a view from convex optimization , J. Opt. Soc. Am. A, 19 (2002), 1334--1345
2002
-
[7]
P. A. Belousov and R. S. Ismagilov , Pauli problem and related mathematical problems , Theoret. Math. Phys., 157 (2008), 1365--1369
2008
-
[8]
Bojarovska and A
I. Bojarovska and A. Flinth , Phase Retrieval from Gabor Measurements, J. Fourier Anal. Appl. 22 (2016), 542-567
2016
-
[9]
Brouwer and W
A. Brouwer and W. Haemers , Spectra of Graphs , Springer Science & Business Media, 2011
2011
-
[10]
E. J. Cand \`e s, Y. C. Eldar, T. Strohmer, and V. Voroninski , Phase retrieval via matrix completion , SIAM J. Imaging Sci., 6 (2013), 199--225
2013
-
[11]
E. J. Cand \`e s, T. Strohmer, and V. Voroninski , PhaseLift : exact and stable signal recovery from magnitude measurements via convex programming , Comm. Pure Appl. Math., 66 (2013), 1241--1274
2013
-
[12]
N. Christoffersen, K. Luh, H. H. Nguyen and J. Wang , Eigenvalue gaps of the Laplacian of random graphs , arXiv:2501.00234, 2025
Pith/arXiv arXiv 2025
-
[13]
J. V. Corbett , The Pauli problem, state reconstruction and quantum-real numbers , Rep. Math. Phys., 57 (2006), 53--68
2006
-
[14]
J. V. Corbett and C. A. Hurst , Are wave functions uniquely determined by their position and momentum distributions? , J. Austr. Math. Soc. B, 20 (1978), 182--201
1978
-
[15]
J. R. Fienup , Phase retrieval algorithms: a comparison , Appl. Opt., 21 (1982), 2758--2769
1982
-
[16]
Godsil , Controllable subsets in graphs , Ann
C. Godsil , Controllable subsets in graphs , Ann. Comb., 16 (2012), 733--744
2012
-
[17]
Goyeneche, G
D. Goyeneche, G. Ca \ n as, S. Etcheverry, E. S. G \'o mez, G. B. Xavier, G. Lima, and A. Delgado , Five measurement bases determine pure quantum states on any dimension , Phys. Rev. Lett., 115 (2015), 090401
2015
-
[18]
Gross, F
D. Gross, F. Krahmer, and R. Kueng , Improved recovery guarantees for phase retrieval from coded diffraction patterns , Appl. Comput. Harmon. Anal. 42 (2017) 37–-64
2017
-
[19]
Grohs, S
P. Grohs, S. Koppensteiner, and M. Rathmair , Phase retrieval: uniqueness and stability , SIAM Rev., 62 (2020), 301--350
2020
-
[20]
Hassani Monfared and B
K. Hassani Monfared and B. L. Shader , The nowhere-zero eigenbasis problem for a graph , Linear Algebra Appl., 505 (2016), 296--312
2016
-
[21]
Heinosaari, L
T. Heinosaari, L. Mazzarella, and M. M. Wolf , Quantum tomography under prior information , Comm. Math. Phys., 318 (2013), 355--374
2013
-
[22]
R. A. Horn and C. R. Johnson , Matrix Analysis, 2nd ed., Cambridge University Press, Cambridge, 2013
2013
-
[23]
R. S. Ismagilov , On the Pauli problem , Funktsional. Anal. i Prilozhen., 30 (1996), 82--84
1996
-
[24]
Jaming , Phase retrieval techniques for radar ambiguity problems , J
P. Jaming , Phase retrieval techniques for radar ambiguity problems , J. Fourier Anal. Appl., 5 (1999), 309--329
1999
-
[25]
Jaming , Uniqueness results in an extension of Pauli 's phase retrieval , Appl
P. Jaming , Uniqueness results in an extension of Pauli 's phase retrieval , Appl. Comput. Harmon. Anal., 37 (2014), 413--441
2014
-
[26]
A. J. E. M. Janssen , The Zak transform and some counterexamples in time-frequency analysis , IEEE Trans. Inform. Theory, 38 (1992), 168--171
1992
-
[27]
M. V. Klibanov, P. E. Sacks, and A. V. Tikhonravov , The phase retrieval problem , Inverse Prob., 11 (1995), 1--28
1995
-
[28]
R. H. Levene, P. Oblak, and H. S migoc , Distinct eigenvalues are realizable with generic eigenvectors , Linear and Multilinear Algebra, 72 (2024), 2054--2068
2024
-
[29]
D. G. Mixon , Phase transitions in phase retrieval , in Excursions in Harmonic Analysis, Volume 4, R. Balan, M. Begu \'e , J. J. Benedetto, W. Czaja, and K. A. Okoudjou, eds., Applied and Numerical Harmonic Analysis, Birkh \"a user, 2015, 123--147
2015
-
[30]
D. Mondragon and V. Voroninski , Determination of all pure quantum states from a minimal number of observables . arXiv:1306.1214
-
[31]
B. Z. Moroz and A. M. Perelomov , On a problem posed by Pauli , Theoret. Math. Phys., 101 (1994), 1200--1204
1994
-
[32]
Pauli , Die allgemeinen prinzipien der wellenmechanik , in Handbuch Der Physik, H
W. Pauli , Die allgemeinen prinzipien der wellenmechanik , in Handbuch Der Physik, H. Geiger and K. Scheel, eds., vol. 24, Springer-Verlag, Berlin, 1933, 83--272. English translation: General Principles of Quantum Mechanics, Springer-Verlag, Berlin, 1980
1933
-
[33]
Poignard, T
C. Poignard, T. Pereira, and J. P. Pade , Spectra of Laplacian matrices of weighted graphs: structural genericity properties , SIAM J. Appl. Math., 78 (2018), 372--394
2018
-
[34]
Reichenbach , Philosophic Foundations of Quantum Mechanics , University of California Press, Berkeley, 1944
H. Reichenbach , Philosophic Foundations of Quantum Mechanics , University of California Press, Berkeley, 1944
1944
-
[35]
Shechtman, Y
Y. Shechtman, Y. C. Eldar, O. Cohen, H. N. Chapman, J. Miao, and M. Segev , Phase retrieval with application to optical imaging: a contemporary overview , IEEE Signal Process. Mag., 32 (2015), 87--109
2015
-
[36]
Waldspurger, A
I. Waldspurger, A. d'Aspremont, and S. Mallat , Phase recovery, MaxCut and complex semidefinite programming , Math. Program., 149 (2015), 47--81
2015
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