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WP-E Progress

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WP-E — Forward Map and Observability: Phase and Contrast Maps of the Stroboscopic Analysis Pulse

Work Program · v0.3 · 2026-04-13 Status: execution-ready pending preflight gate (§4a). Numbering: WP-E — Forward Map and Observability (resolved in v0.3; see §8).


1. Introduction

Stroboscopic travelling-wave control of a single trapped ion outside the Lamb–Dicke regime enables spin-mediated readout of motional-state phase and amplitude with sub-wavelength spatial sensitivity [Hasse2024]. In the protocol of interest, a train of N = 22 phase-stable analysis pulses, each synchronised to one motional period T_m = 2π/ω_m, accumulates coherently to approximately π/2 (≈ 1.53 rad / 88° at the nominal parameters of §2). Position and velocity information are encoded, respectively, in the geometric phase k_eff·x (via the travelling-wave wavevector) and in the Doppler detuning δ_D = k_eff·v (via the Rabi lineshape). The zero-point Doppler scale,

δ_D^ZPM = k_eff · x_0 · ω_m = η · ω_m ≈ 2π × 0.516 MHz,

already exceeds the Rabi linewidth (Ω_eff/(2π) = 0.277 MHz) — the regime is Doppler-dominated even at α = 0.

The physics identity of the scheme — Floquet-synchronised quadrature spectroscopy rather than a softened ultrafast kick — is developed in ideal-limit-principles.md. This WP addresses the observable forward map: how the complex spin coherence after the pulse train depends jointly on the pulse detuning δ₀, the coherent-state amplitude |α|, and the motional phase φ_α at the first pulse. Where the ideal-limit picture asserts that arg C reports position and |C|(δ₀) reports velocity, this WP tests that assertion quantitatively in the presence of η ≈ 0.4 nonlinearity and 40 ns finite-time (Magnus) corrections: arg C is expected to be dominantly sensitive to position in the LD and near-synchronous limit, and deviations quantify the channel mixing.

Two bodies of prior work frame the question. First, the Monroe ultrafast programme [Mizrahi2013, Mizrahi2014, Johnson2015, Johnson2017, Wong-Campos2017] established impulsive spin-dependent kicks as a temperature-insensitive tool for interferometry and cat-state preparation; the theoretical basis was laid by García-Ripoll, Zoller and Cirac [García-Ripoll2003, García-Ripoll2005] and scaled by Duan [Duan2004]. In that regime pulses are short compared with T_m and the kick factorises cleanly from free evolution. Second, standard trapped-ion spectroscopy in the resolved-sideband limit provides the canonical Rabi-lineshape velocity filter; see the review by Leibfried et al. [Leibfried2003] and the earliest Schrödinger-cat demonstration by Monroe et al. [Monroe1996]. The question of back-action structure and quadrature selectivity originates with Braginsky and Caves [Braginsky1980, Caves1980].

The present protocol operates in neither the impulsive limit (δt/T_m ≈ 0.05) nor the fully resolved-sideband limit (Ω/ω_m ≈ 0.23, with Doppler widths δ_D ≫ Ω already at zero point). Mapping the forward response over (δ₀, |α|, φ_α) therefore serves three purposes: it quantifies the stroboscopic phase-lock tolerance, exposes the position channel (arg C) absent from existing σ_z-only runs, and characterises a known mismatch between two simulation methods on the contrast observable (see §3).


2. Notation and nominal parameters

All maps in this WP are computed at the fixed device parameters of the dossier (matched to the ²⁵Mg⁺ AC-Raman experiment of [Hasse2024]):

Symbol Value Meaning
ω_m/(2π) 1.300 MHz Motional frequency
T_m 769 ns Motional period
η 0.397 Effective Lamb–Dicke parameter
Ω/(2π) 0.300 MHz Bare carrier Rabi frequency
Ω_eff/(2π) 0.277 MHz Debye–Waller suppressed, = Ω·exp(−η²/2)
δt 40 ns Analysis-pulse duration
N 22 Number of pulses (1 per motional cycle)
θ_pulse 0.070 rad (4.0°) Per-pulse rotation, = Ω_eff · δt
N · θ_pulse 1.53 rad (88°) Accumulated rotation on carrier at α = 0
T_total 16.9 μs = N · T_m
δ_D^ZPM/(2π) 0.516 MHz RMS zero-point Doppler width = η·ω_m/(2π)
⟨n⟩_thermal 0.001 Residual thermal background

Observable: the complex spin coherence after the pulse train,

C(δ₀, |α|, φ_α) = ⟨σ_x⟩ + i ⟨σ_y⟩,   |C| = contrast,   arg C = measurement phase.

Scan axes: δ₀ = analysis-pulse detuning from carrier; |α| = coherent amplitude of the initial motional state |α e^{iφ_α}⟩; φ_α = motional phase at first-pulse preparation time, convention fixed in §2.2.

Rotating-frame caveat. C is defined in the rotating frame of the final analysis pulse; experimental access requires phase-referenced tomography, not σ_z population readout alone. This distinction matters when mapping simulation predictions onto lab observables.

Pure-state baseline. ⟨n⟩_thermal = 0.001 is treated as effectively pure; all §4 deliverables are pure-state unitary unless otherwise flagged. Noise channels are admissible only if introduced deliberately per §4a D2.

Abbreviations: WP — work program; LD — Lamb–Dicke; BAE — back-action evasion; ZPM — zero-point motion; QND — quantum non-demolition.

2.1 Contrast reference

The contrast observable |C| is normalised relative to the maximum achievable coherence of the same N = 22 pulse sequence on the reference state (|α| = 0, δ₀ = 0, φ_α = 0), not relative to an idealised π/2:

|C|_normalised(δ₀, |α|, φ_α) = |C(δ₀, |α|, φ_α)| / |C(0, 0, 0)|.

This makes the map's absolute scale insensitive to the 1.53 rad vs. π/2 discrepancy (A2) and places all residuals against a concrete, reproducible anchor point. Raw (unnormalised) |C| is also stored in the dataset for completeness.

2.2 Motional-phase convention

φ_α is the phase of the complex coherent-state amplitude α = |α| e^{iφ_α} used in state preparation in scripts/stroboscopic_sweep.py. The convention is anchored to the engine's Hamiltonian, not to an abstract phase-space picture:

Consequence: φ_α = 0 prepares the ion on the +X̂ axis in phase space (⟨X̂⟩ > 0, ⟨P̂⟩ = 0); φ_α = π/2 prepares it on the +P̂ axis. The sign convention of all ∂C/∂φ_α residuals follows from this anchor.


3. Purpose and scope

3.1 Purpose

Map the complex coherence C(δ₀, |α|, φ_α) over a structured grid, compare against three ideal-limit reference models (R1 Lamb–Dicke linear, R2 instantaneous-pulse, R12 composite — see §4 and §8 Q3), and report the residuals that isolate η-nonlinearity from finite-time (Magnus) effects via the clean decomposition

Δη   = R2 − R12       (pure η effect, δt held at 0)
Δt   = R1 − R12       (pure finite-time effect, η held at 0)
cross = full − (R1 + R2 − R12)   (η × finite-time interaction)

This WP is the observable-side companion to the deviations identified in ideal-limit-principles.md:

Specifically, three concrete motivations:

3.2 In scope

3.3 Out of scope


4. Deliverables

  1. Dataset — HDF5 or JSON manifest with C(δ₀, |α|, φ_α) and ⟨σ_z⟩ on the agreed grid; also R1, R2, R12 evaluated on the same grid points. Stored in numerics/.
  2. Residual plots — 2D heatmaps of |C| and arg C for each slice defined in §8 Q2, together with residual plots against all three baselines: Δη (full − R2 + R12), Δt (full − R1 + R12), and cross (full − R1 − R2 + R12). Stored in plots/.
  3. Logbook — dated entries for each simulation run, parameter choice, and interpretation step, stored in logbook/. One entry per substantive decision or dataset.
  4. Short note — ≤ 2 pages summarising what the maps reveal about channel separation, phase-lock sensitivity, and the HDF5-vs-JSON provenance gap.
  5. Injectivity probe — local Jacobian

J(δ₀, |α|, φ_α) = ∂(Re C, Im C) / ∂(δ₀, |α|, φ_α)

evaluated on the slice grid via finite differences, together with a condition-number heatmap cond(J). This converts the ledger principle P7 (tomographic injectivity) from an implicit claim into a measurable output, and lets us distinguish genuine physical degeneracy of the forward map from numerical artefact. Stored in numerics/ (data) and plots/ (heatmaps). 6. [Stretch] Floquet lock-tolerance diagnostic — |C| vs. ε with pulse frequency ω_pulse = ω_m(1 + ε), at (δ₀ = 0, |α| ∈ {0, 3}, φ_α = 0). Directly quantifies the Δω_m/ω_m ≲ 0.7 % lock tolerance of [Hasse2024] as a consistency check. Not gating; cheap if the engine supports non-resonant pulse spacing via t_sep_factor.

Success criterion: each of the three motivations in §3.1 is either confirmed, refuted, or sharpened into a more specific follow-up question.


4a. Preflight gate (gates the main sweep)

Before any map-grid runs, a single-point cross-engine validation must be performed. Gate condition: preflight must either pass, or fail with an identified cause from the four-candidate list below.

Protocol. At fixed (δ₀ = 0, |α| = 0, φ_α = 0):

  1. Run the HDF5 adaptive-learner engine (legacy, produced the 0.61/0.71/0.84/0.75 contrast series).
  2. Run the JSON-uniform engine (legacy, produced the ≈ 0.56 contrast).
  3. Run the candidate engine (extended stroboscopic_sweep.py or new phase_contrast_map.py — to be decided per §8 Q5).

For each engine, record the per-pulse Bloch vector (⟨σ_x⟩, ⟨σ_y⟩, ⟨σ_z⟩) at every pulse index 1 … 22, plus the accumulated phase arg C(0, 0, 0).

Report. Do the three engines agree to within integrator tolerance? If not, which of the four candidate causes is responsible?

D2 — noise-model gate. If the legacy engines' noise models are not documented to be identical to the candidate engine's pure-unitary configuration, pure-unitary simulation cannot disambiguate the mismatch, and the noise-model decision (§8 Q7) must be revisited and resolved before the main sweep — not deferred. This removes a silent deferral hazard.

Outcome branching. - If preflight passes (all three engines agree at the anchor point): proceed to §4 deliverables at the candidate engine, with legacy engines used for spot-check cross-validation at sentinel grid points. - If preflight fails with identified cause: publish a logbook entry naming the cause, decide whether to patch, document, or quarantine the affected engine, and re-run preflight. - If preflight fails with no identified cause: main sweep is paused; the mismatch itself becomes a WP-E sub-deliverable.


5. Folder layout

wp-phase-contrast-maps/
├── README.md      (this document)
├── numerics/      (datasets, manifests, Jacobian tensors)
├── plots/         (figures: heatmaps, residuals, cond-J maps)
└── logbook/       (dated entries, one per decision or run)

6. Connection to existing ledger principles

Principles are those of ideal-limit-principles.md §4.

Principle What this WP contributes
P1 — Phase lock Direct measurement of ∂C/∂φ_α; quantifies lock tolerance; stretch deliverable 6 tests Δω_m/ω_m
P3 — Doppler momentum readout |C|(δ₀) family parameterised by |α|
P4 — Channel separation (L2) Test whether arg C tracks position and |C|(δ₀) tracks velocity in the LD/near-synchronous limit; deviations quantify channel mixing
P7 — Tomographic injectivity Condition-number heatmap of the local Jacobian over the slice grid

7. Relation to the Monroe ultrafast programme

The Monroe scheme achieves temperature-insensitive kicks through impulsiveness (δt/T_m ~ 10⁻⁵) [Mizrahi2013, Johnson2015]. The present protocol trades impulsiveness for stroboscopic synchronisation — 22 weak phase-locked pulses instead of one ultrafast kick [Hasse2024]. The maps computed in this WP are the diagnostic by which that trade-off is made quantitative: the φ_α axis exposes the cost of imperfect synchronisation, and the (δ₀, |α|) surface exposes the coupling between Doppler spectrum and motional amplitude that the impulsive limit obscures.


8. Committed decisions and residual questions

Q0 — WP numbering. Resolved. Adopted as WP-E — Forward Map and Observability, a new node in the dossier architecture. Cross-reference updates in ARCHITECTURE.md and ideal-limit-principles.md are a separate task and tracked in the logbook entry dated 2026-04-13.

Q1 — Observable. Resolved: C + σ_z (full complex coherence plus σ_z for cross-validation with legacy runs). Requires the simulation backend to expose ⟨σ_x⟩, ⟨σ_y⟩; code-reading pass during preflight (§4a) will confirm availability in scripts/stroboscopic_sweep.py.

Q2 — Grid structure. Resolved: Option B, structured 2D slices. - S1: (δ₀, |α|) at φ_α = 0. - S2: (δ₀, φ_α) at |α| ∈ {1, 3, 5} — three separate sheets. - S3: (|α|, φ_α) at δ₀ ∈ {0, ω_m} — two separate sheets. Promotion to a full 3D cube is reserved for a follow-up if slices reveal non-separable cross-terms.

Q3 — Reference models. Resolved: R1 + R2 + R12 composite baseline. Residuals computed per the decomposition in §3.1. Residual question: does the repo contain a closed-form Lamb–Dicke linear prediction for C(δ₀, |α|, φ_α), or does R1 require numerical evaluation at small η with extrapolation? Code reading during preflight answers this.

Q4 — Grid resolution. Partially resolved. - δ₀: ±6 MHz/(2π), step to be finalised in the preflight logbook entry (target 41–121 points). - |α|: {0, 1, 3, 5} in the first pass, matching legacy runs; finer set {0, 0.5, 1, 2, 3, 4, 5} only if residuals demand it. - φ_α: minimum 48 points, 64 preferred. At η ≈ 0.4, harmonics to 3–4× fundamental are expected; 16 points are a sanity-check resolution only and may not resolve the harmonic structure at amplitude. Residual question: is 64 φ_α points × 121 δ₀ points × 5 |α| values = 38,720 runs tractable on the candidate engine? Preflight timing answers this.

Q5 — Engine and tooling. Conditionally resolved: decide after preflight. Default = extend scripts/stroboscopic_sweep.py to expose ⟨σ_x⟩, ⟨σ_y⟩ and to support N-D sweeps. A new phase_contrast_map.py is the fallback if extension is more invasive than writing a thin wrapper.

Q6 — Motional-phase convention. Resolved in §2.2. Anchored to the code definition at scripts/stroboscopic_sweep.py:103 and the displacement generator at line 138.

Q7 — Noise model. Resolved: pure-state unitary, gated by the §4a D2 clause — if preflight reveals undocumented noise in the legacy engines, Q7 reopens immediately.

Q8 — N_pulses treatment. Resolved: fix N = 22, with contrast defined per §2.1 relative to the reference state (|α| = 0, δ₀ = 0, φ_α = 0). The fact that N · θ_pulse = 1.53 rad ≠ π/2 is acknowledged explicitly; the reference state encodes the actual accumulated rotation and removes the π/2-idealisation ambiguity.


9. Proposed next step

  1. Execute the §4a preflight protocol.
  2. Resolve the residual questions in §8 Q3, Q4, Q5 on the basis of preflight results.
  3. Produce a short preflight logbook entry naming the candidate engine, grid resolutions, and any identified cause if engines disagree.
  4. Begin the slice runs (S1, S2, S3) per §4 deliverables 1–5; the stretch deliverable 6 runs opportunistically.

Forward-looking hook. If the injectivity probe (§4 deliverable 5) reveals that the forward map is non-injective on regions of the slice grid relevant to the target state family, the follow-up decision is whether to treat this as a protocol limitation or to design multi-frequency / multi-phase pulse trains that restore injectivity. This is flagged as candidate scope for the next WP in this series and is not in WP-E's remit.


References


v0.3 changelog (2026-04-13):

Guardian assessment (self-review): five external-review tightening points (A1, B1, C1, D1, E2) each addressed with a specific edit to a specific section. Guardian EC points A2, A3, D2, E1, E3, E4, E5, F1, G1 adopted; H1 adopted as non-gating stretch. No declinations.

v0.2: introduction + literature + self-contained notation and references.

v0.1: initial draft for discussion.