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arxiv: 2411.05671 · v4 · pith:PKCX6AVSnew · submitted 2024-11-08 · 🪐 quant-ph · cond-mat.mes-hall· cond-mat.quant-gas· cond-mat.str-el

Dynamics of edge modes in monitored Su-Schrieffer-Heeger Models

Pith reviewed 2026-05-23 17:24 UTC · model grok-4.3

classification 🪐 quant-ph cond-mat.mes-hallcond-mat.quant-gascond-mat.str-el
keywords monitored quantum systemsSu-Schrieffer-Heeger modeledge modesquantum trajectoriesdissipationentanglement entropytopological modes
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0 comments X

The pith

Protecting the edges from dissipation in monitored SSH models recovers unitary edge-mode features via trajectory averages.

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

The paper investigates dissipation effects on edge modes in the monitored Su-Schrieffer-Heeger model using both linear correlations and nonlinear entanglement measures. Dissipation changes the entanglement, but protecting the edges by setting monitoring rate to zero there allows the statistical analysis of quantum trajectories to recover features like those in the closed unitary system. This demonstrates the importance of the spatial pattern of monitoring in determining whether edge modes persist under open-system dynamics.

Core claim

Statistical analysis of quantum trajectories in the monitored SSH model shows that protecting the chain's edges from dissipation recovers characteristic features of edge modes analogous to the unitary limit, as seen in two-point correlation functions and disconnected entanglement entropy.

What carries the argument

The spatial pattern of monitoring, with zero rate at the edges, which shields topological edge modes in the ensemble of quantum trajectories.

If this is right

  • Edge-mode dynamics can be preserved under monitoring by spatially selective dissipation.
  • Trajectory ensemble averages can mimic closed-system behavior for protected edges.
  • Both linear and nonlinear diagnostics show recovery when edges are unmonitored.
  • Dissipation pattern is crucial for topological features in open monitored systems.

Where Pith is reading between the lines

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

  • The result implies that experimental implementations could use boundary protection to study monitored topological phases.
  • Similar spatial control might enable observation of edge modes in other monitored models.
  • Future work could test if this holds for different monitoring types or interaction strengths.

Load-bearing premise

The chosen spatial pattern with zero monitoring at edges is representative and the trajectory average captures the dynamics without post-selection bias.

What would settle it

If measurements show that even with edge protection the averaged correlation functions or DEE do not match the unitary case, the claim would be falsified.

Figures

Figures reproduced from arXiv: 2411.05671 by Angelo Russomanno, Gianluca Passarelli, Giulia Salatino, Giuseppe E. Santoro, Procolo Lucignano, Rosario Fazio.

Figure 1
Figure 1. Figure 1: FIG. 1: (a) Sketch of the probability amplitude of the [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3: Range of the non-homogeneous SPD dissipation. [PITH_FULL_IMAGE:figures/full_fig_p005_3.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2: Disconnected partition of the SSH chain. The [PITH_FULL_IMAGE:figures/full_fig_p005_2.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4: Two-point correlator for the [PITH_FULL_IMAGE:figures/full_fig_p006_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5: Dynamics of the DEE under the SPD dynam [PITH_FULL_IMAGE:figures/full_fig_p007_5.png] view at source ↗
Figure 7
Figure 7. Figure 7: shows γtc versus L for the case of α = 0.8 SPD dissipation and unquenched [see [PITH_FULL_IMAGE:figures/full_fig_p008_7.png] view at source ↗
Figure 9
Figure 9. Figure 9: FIG. 9: Time evolution of the DEE over a single trajec [PITH_FULL_IMAGE:figures/full_fig_p009_9.png] view at source ↗
Figure 11
Figure 11. Figure 11: FIG. 11 [PITH_FULL_IMAGE:figures/full_fig_p010_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: FIG. 12 [PITH_FULL_IMAGE:figures/full_fig_p011_12.png] view at source ↗
Figure 13
Figure 13. Figure 13: FIG. 13: Edge modes distribution for a unquenched [PITH_FULL_IMAGE:figures/full_fig_p013_13.png] view at source ↗
read the original abstract

We investigate the effect of dissipation on the dynamics of edge modes in the monitored Su-Schrieffer-Heeger (SSH) model. Our study considers both a linear observable and a nonlinear entanglement measure, namely the two-point correlation function and the Disconnected Entanglement Entropy (DEE), as diagnostic tools. While dissipation inevitably alters the entanglement properties observed in the closed system, statistical analysis of quantum trajectories reveals that by protecting the chain's edges from dissipation, it is possible to recover characteristic features analogous to those found in the unitary limit. This highlights the fundamental role of spatial dissipation patterns in shaping the dynamics of edge modes in monitored systems.

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 / 1 minor

Summary. The paper investigates the effect of spatially inhomogeneous dissipation on edge modes in the monitored Su-Schrieffer-Heeger model. It uses the two-point correlation function and disconnected entanglement entropy (DEE) as diagnostics and claims that nulling the monitoring rate exactly at the two boundary sites allows statistical averages over quantum trajectories to recover characteristic features of the unitary (closed-system) limit.

Significance. If the numerical evidence is robust, the result would show that spatial patterns of monitoring can selectively protect topological edge modes, adding to the literature on measurement-induced phases and non-unitary dynamics in topological systems. The dual use of a linear observable and a nonlinear entanglement measure strengthens the diagnostic power.

major comments (2)
  1. [§3] §3 (Monitoring protocol): the central claim rests on setting the monitoring rate exactly to zero at the edge sites. No robustness test against small but finite edge rates is reported; without it the recovery cannot be distinguished from a tuned boundary condition.
  2. [§4] §4 (Trajectory statistics): the manuscript does not state whether the reported ensemble averages are taken over the complete stochastic unraveling (all jump trajectories) or incorporate an implicit filter such as no-jump post-selection. This distinction directly affects whether the recovered unitary signatures are generic or biased.
minor comments (1)
  1. [Abstract] The abstract could explicitly state the monitoring-rate pattern rather than using the phrase 'protecting the chain's edges'.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the careful reading and the constructive comments on our manuscript. Below we respond point by point to the two major comments. Both points can be addressed by clarification and additional checks; we therefore plan a revised manuscript.

read point-by-point responses
  1. Referee: [§3] §3 (Monitoring protocol): the central claim rests on setting the monitoring rate exactly to zero at the edge sites. No robustness test against small but finite edge rates is reported; without it the recovery cannot be distinguished from a tuned boundary condition.

    Authors: We agree that an explicit robustness check against small but nonzero edge monitoring rates would strengthen the presentation and help distinguish the selective-protection mechanism from a purely tuned boundary condition. In the revised manuscript we will add a short subsection (or appendix) reporting ensemble averages for edge rates set to 1–5 % of the bulk value. These data will show how the recovered edge-mode signatures in the two-point correlator and DEE degrade as the edge rate is increased from zero, thereby quantifying the sensitivity to the exact nulling condition. revision: yes

  2. Referee: [§4] §4 (Trajectory statistics): the manuscript does not state whether the reported ensemble averages are taken over the complete stochastic unraveling (all jump trajectories) or incorporate an implicit filter such as no-jump post-selection. This distinction directly affects whether the recovered unitary signatures are generic or biased.

    Authors: The reported averages are performed over the complete stochastic unraveling, i.e., the full ensemble of quantum trajectories that includes all possible jump sequences; no post-selection or no-jump filtering is applied. We will add an explicit statement to this effect in §4 (and in the caption of the relevant figures) of the revised manuscript, together with a brief remark on the numerical procedure used to generate and average the trajectories. revision: yes

Circularity Check

0 steps flagged

No significant circularity; derivation is simulation-driven and self-contained

full rationale

The paper reports results from direct numerical simulation of quantum trajectories in the monitored SSH model, using the two-point correlator and DEE as diagnostics. The central observation—that protecting edge sites from monitoring recovers unitary-limit features—is obtained from ensemble averages over stochastic trajectories rather than from any fitted parameter, self-referential definition, or self-citation chain that reduces the reported outcome to its inputs by construction. No equations or modeling choices in the provided text equate a prediction to a fit or rename an ansatz as a theorem. The spatial monitoring pattern is an explicit modeling choice whose consequences are computed, not presupposed.

Axiom & Free-Parameter Ledger

1 free parameters · 2 axioms · 0 invented entities

The central claim rests on the validity of the quantum-trajectory unraveling of the monitored Lindblad dynamics and on the assumption that the chosen spatial dissipation pattern is experimentally realizable; no new particles or forces are introduced.

free parameters (1)
  • monitoring rate gamma
    Dissipation strength is a tunable parameter whose specific values determine whether edge protection is observed.
axioms (2)
  • standard math Quantum trajectories generated by continuous monitoring obey the standard stochastic Schrödinger equation derived from the Lindblad master equation.
    Invoked implicitly when the authors refer to statistical analysis of trajectories.
  • domain assumption The disconnected entanglement entropy and two-point correlation function remain well-defined and computable along individual trajectories in the presence of local monitoring.
    Required for the diagnostic tools to function as stated.

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Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

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Reference graph

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92 extracted references · 92 canonical work pages · cited by 1 Pith paper · 2 internal anchors

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    Edge modes Considering the Hamiltonian of Eq. (6) with space- dependent couplings [56], it is straightforward to see that, in the thermodynamic limit, two zero-energy eigenmodes of the Hamiltonian can be found in the form |L⟩ = NX i=1 aiˆc† i,A |0⟩ = NX i=1 ai |i, A⟩ , (A1a) |R⟩ = NX i=1 biˆc† i,B |0⟩ = NX i=1 bi |i, B⟩ , (A1b) which are states exponentia...

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    The reduced system is thus ˆρB = 1 2 [|0N B⟩ ⟨0N B| + |1N B⟩ ⟨1N B|] , (A5) 13 (a) (b) FIG

    Disconnected entanglement entropy It is thus possible to analytically understand the role of the DEE in the fully-dimerized and topological limit of the SSH chain and show that the ground state always contains the maximally entangled superposition of the two edge states in the topological phase. The reduced system is thus ˆρB = 1 2 [|0N B⟩ ⟨0N B| + |1N B⟩...

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    Nambu Formalism Let ˆcj be the destruction operator for a system of spinless fermions labelled by j = 1 , · · · , L. We define a Nambu column vector ˆC and its Hermitian conjugate row vector ˆC†, each of length 2 L, by [69] ˆC =   ˆc1 ... ˆcL ˆc† 1 ... ˆc† L   , (B1) and ˆC† = ˆc† 1 , · · · , ˆc† L , ˆc1 , · · · , ˆcL . (B2) Majorana...

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    (B25) where 1o is an identity only on the odd (A) sites, and similarly 1e for the even (B) sites, hence 1 = 1o + 1e

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