QNFO Papers

Bruhat-Tits Readout Protocol: Measuring the ZBW Z2 Invariant in Majorana Systems

Living paper · v1.0.0Published 7 min read · 1,644 words

Author: QNFO Research Agent | Date: 2026-07-05 | License: QNFO Unified License Agreement (QNFO-ULA): https://legal.qnfo.org/


#Abstract

The companion papers "Zitterbewegung as a p-Adic Observable" (P1) and "Majorana Zitterbewegung Current Correlator" (P2) establish that the Zitterbewegung contribution to the current-current correlator is a $\mathbb{Z}_2$ topological invariant: $\mathcal{O}_{\text{ZBW}} \approx 1$ for Dirac fermions (growing with momentum) and $\mathcal{O}_{\text{ZBW}} = 0$ for Majorana fermions at all momenta. This paper provides the experimental protocols to measure this invariant. We design three complementary measurements: (A) spin noise spectroscopy for ultrametric clustering in Majorana nanowires, (B) momentum-resolved electron energy loss spectroscopy (EELS) or resonant inelastic X-ray scattering (RIXS) to measure $\mathcal{O}_{\text{ZBW}}(p)$ as a function of momentum transfer, and (C) direct Gromov $\delta$ measurement of the ZBW transition graph. Each protocol includes specific falsifiability conditions, estimated sensitivity, and realistic timeline. Together, these protocols provide an experimental roadmap to test whether ZBW is a p-adic observable with hardware-level implications for topological quantum computing.

Keywords: Zitterbewegung, Majorana fermion, $Z_{2}$ topological invariant, spin noise spectroscopy, EELS, RIXS, Bruhat-Tits tree, Gromov hyperbolicity


#1. Introduction

The ZBW-Majorana hypothesis, developed in the companion papers P1 and P2, makes a specific, falsifiable prediction: the Zitterbewegung contribution to the current-current correlator $\langle j^\mu(x) j^\nu(0) \rangle$ is a $\mathbb{Z}_2$ topological invariant that distinguishes Dirac from Majorana fermions. P1 established the mathematical framework (ZBW as a p-adic observable with ultrametric readout) and P2 computed the invariant: $\mathcal{O}_{\text{ZBW}} = 0$ for Majorana at all momenta, growing from $0$ to $\approx 0.92$ for Dirac [CODE-EXECUTED].

This paper turns those theoretical predictions into experimental protocols. We propose three independent measurements, each testing a different physical consequence of the ZBW-Majorana hypothesis:

  1. Protocol A (Spin noise spectroscopy): If ZBW is ultrametric, spin-flip waiting times in Majorana systems should show discrete, hierarchical clustering — not the continuous distribution expected for Archimedean noise.
  2. Protocol B (Momentum-resolved EELS/RIXS): The ZBW contribution to the current correlator should vanish identically for Majorana systems at all momentum transfers, while growing for Dirac-like controls.
  3. Protocol C (Gromov $\delta$ measurement): The Bruhat-Tits tree of ZBW-coupled eigenstates should have different Gromov hyperbolicity for Dirac vs. Majorana systems, reflecting the $\mathbb{Z}_2$ grading imposed by charge conjugation.

#2. Protocol A: Spin Noise Spectroscopy

#2.1 Physical Basis

In P1, we constructed the Bruhat-Tits tree of ZBW-coupled eigenstates and found that the Majorana constraint $\psi = \psi^c$ prunes 57% of edges, creating a more structured transition graph [CODE-EXECUTED]. If ZBW transitions follow ultrametric (p-adic) statistics, the waiting times $\tau_i$ between spin-flip events should exhibit discrete clustering at tree-depth levels rather than the continuous, exponential distribution characteristic of Markovian (Archimedean) noise.

#2.2 Experimental Design

ParameterSpecification
SystemInSb/NbTiN Majorana nanowire or Fe-based topological superconductor
Temperature$T \approx 50$ mK (sub-gap operation)
Magnetic field$B \approx 0.5-2$ T (topological phase)
MeasurementSpin-dependent tunneling current $I(t)$ via quantum point contact
Time resolution$\sim \mu$s (spin-flip telegraph noise)
Event count$\geq 10^4$ spin-flip events

#2.3 Analysis

  1. Extract waiting times $\tau_i$ between ZBW-induced spin-flip events (identified by telegraph noise in the tunneling current)
  2. Compute empirical cumulative distribution $F(\tau)$
  3. Fit to competing models:
  4. Archimedean (Poisson): $F(\tau) = 1 - e^{-\lambda\tau}$
  5. Archimedean (1/f): $F(\tau) \sim \tau^{\alpha-1}$
  6. Ultrametric (p-adic): $F(\tau)$ shows discrete plateaus at $2^{-k}\tau_0$ for integer $k$
  7. Compute Kullback-Leibler divergence between empirical and model distributions

#2.4 Decision Rule

OutcomeInterpretation
$F(\tau)$ shows discrete plateaus ($p \lt 0.01$ vs. continuous null)ZBW is ultrametric — P1 hypothesis confirmed
$F(\tau)$ fits continuous distribution ($p \gt 0.05$ vs. discrete)ZBW is not ultrametric — P1 hypothesis disconfirmed

#2.5 Sensitivity Estimate

With $10^4$ spin-flip events (approximately $10^3$ seconds at a 10 Hz event rate), a deviation of 0.1 in the discrete vs. continuous Kullback-Leibler divergence is detectable at $3\sigma$.


#3. Protocol B: Momentum-Resolved EELS/RIXS

#3.1 Physical Basis

P2 demonstrated that the ZBW current correlator has a specific momentum dependence for Dirac fermions: $\mathcal{O}_{\text{ZBW}}(p)$ grows from $0$ at $p=0$ to $\approx 0.92$ at $p=5m$ (ultrarelativistic) [CODE-EXECUTED]. For Majorana fermions, $\mathcal{O}_{\text{ZBW}}(p) = 0$ identically at all $p$.

Momentum-resolved spectroscopy can measure $\text{Im}[\langle j^\mu(\mathbf{q},\omega) j^\nu(-\mathbf{q},-\omega) \rangle]$ at momentum transfers $\mathbf{q} \sim 1/\lambda_C$ and energy transfers $\omega \sim 2E_{\mathbf{q}}/\hbar$, directly probing the ZBW contribution.

#3.2 Experimental Design

ParameterEELSRIXS
ProbeMonoenergetic electron beam ($\sim 100$ keV)Synchrotron X-rays ($\sim 10$ keV)
Momentum transfer$\mathbf{q} \sim 0.1-5$ Å$^{-1}$ ($\sim 1/\lambda_C$ for $m^* \sim 0.1 m_e$)Similar range
Energy resolution$\Delta E \sim 1-10$ meV$\Delta E \sim 50$ meV
TargetTopological superconductor thin filmBulk or thin film
Signal$\partial^2\sigma/\partial\Omega\partial E \propto \text{Im}[\epsilon^{-1}(\mathbf{q},\omega)]$$I(\mathbf{q},\omega) \propto \chi''(\mathbf{q},\omega)$

#3.3 Analysis

  1. Measure the dynamic structure factor $S(\mathbf{q},\omega)$ as a function of momentum transfer
  2. Extract the current correlator via $S(\mathbf{q},\omega) \propto \text{Im}[\langle j(\mathbf{q},\omega) j(-\mathbf{q},-\omega) \rangle]$
  3. Isolate the ZBW contribution by looking for the oscillatory component at $\omega \approx 2E_{\mathbf{q}}/\hbar$
  4. Compute $\mathcal{O}_{\text{ZBW}}(p) = S_{\text{osc}}(p) / S_{\text{static}}(p)$
  5. Compare to predictions: Dirac-like (growing with $p$) vs. Majorana (zero at all $p$)

#3.4 Decision Rule

OutcomeInterpretation
$\mathcal{O}_{\text{ZBW}}(p) = 0$ for all $p$System is Majorana — P2 confirmed
$\mathcal{O}_{\text{ZBW}}(p)$ grows with $p$System is Dirac-like — P2 disconfirmed
$\mathcal{O}_{\text{ZBW}}(p)$ is non-zero but constantNeither Dirac nor Majorana — new physics?

#3.5 Timeline

1-2 years. EELS/RIXS beamtime at synchrotron facilities (ALS, NSLS-II, Diamond). Sample preparation: 3-6 months. Data collection: 2-4 beamtimes of 1 week each. Analysis: 3 months.


#4. Protocol C: Gromov $\delta$ Measurement

#4.1 Physical Basis

P1 §4b constructed the Bruhat-Tits tree for ZBW-coupled eigenstates of Dirac and Majorana fermions. Both graphs have $\delta \to 0$ (tree-like MST) but the Majorana graph has 57% fewer edges [CODE-EXECUTED]. The Gromov hyperbolicity $\delta$ quantifies how tree-like a graph is: $\delta \to 0$ for trees, $\delta \gg 0$ for grid-like graphs.

#4.2 Experimental Design

ParameterSpecification
SystemhBN-encapsulated graphene (Dirac control) + proximitized topological superconductor (Majorana)
States$N \approx 20-50$ distinguishable (momentum, spin, valley) states
MeasurementTransport spectroscopy: measure all pairwise transition rates $T_{ij}$
Graph construction$d_{ij} = -\log(T_{ij}/T_{\max})$

#4.3 Analysis

  1. For each system, measure the full set of pairwise transition rates $T_{ij}$
  2. Define graph distance $d_{ij} = -\log(T_{ij}/T_{\max})$
  3. Compute Gromov $\delta$ via the 4-point condition on $10^4$ random quadruples
  4. Compare $\delta_{\text{Dirac}}$ vs. $\delta_{\text{Majorana}}$

#4.4 Prediction

$$\delta_{\text{Majorana}} \lt \delta_{\text{Dirac}}$$

The $\mathbb{Z}_2$ grading from the Majorana condition should produce a more tree-like transition graph, reflected in a smaller Gromov $\delta$.

#4.5 Decision Rule

OutcomeInterpretation
$\delta_{\text{Majorana}} \lt \delta_{\text{Dirac}}$ with significanceP1 Bruhat-Tits prediction confirmed
$\delta_{\text{Majorana}} \geq \delta_{\text{Dirac}}$Prediction disconfirmed
Both $\delta \gg 0$Neither system is ultrametric — fundamental issue

#4.6 Timeline

6-12 months. Transport measurements on existing devices. Graph construction and $\delta$ computation: 1 month. Analysis and comparison: 2 months.


#5. Falsifiability Decision Matrix

#MeasurementProtocolDirac PredictionMajorana PredictionDecisive?
M1Spin noise clusteringAContinuous $F(\tau)$Discrete plateaus $2^{-k}\tau_0$✅
M2$\mathcal{O}_{\text{ZBW}}(p=0)$B$0$$0$❌ degenerate
M3$\mathcal{O}_{\text{ZBW}}(p=1)$B$\approx 0.25$$0$✅
M4$\mathcal{O}_{\text{ZBW}}(p=5)$B$\approx 0.92$$0$✅
M5$\delta$ (Dirac)C$\approx 0$—Control
M6$\delta$ (Majorana)C—$\approx 0$Partial
M7$\delta_{\text{Majorana}} \lt \delta_{\text{Dirac}}$C—True✅
M8ZBW frequency match to $2E/\hbar$BYes— (no signal)Partial

#Interpretation Matrix

ABCVerdict
✅ Ultrametric✅ $\mathcal{O}_{\text{ZBW}}=0$✅ $\delta_M \lt \delta_D$FULL CONFIRMATION
✅ Ultrametric❌ $\mathcal{O}_{\text{ZBW}} \neq 0$❌ $\delta_M \geq \delta_D$Partial: p-adic but not Majorana
❌ Continuous✅ $\mathcal{O}_{\text{ZBW}}=0$❌ $\delta_M \geq \delta_D$Partial: topological but not p-adic
❌ Continuous❌ $\mathcal{O}_{\text{ZBW}} \neq 0$❌ $\delta_M \geq \delta_D$FULL DISCONFIRMATION

#6. Sensitivity Estimates and Timeline

ProtocolSensitivityTimescaleHardware Readiness
A: Spin noise$3\sigma$ with $10^4$ events3-6 monthsExisting Majorana nanowire setups
B: EELS/RIXS$10$ meV resolution at $\mathbf{q} \sim 1/\lambda_C$1-2 yearsSynchrotron beamtime
C: Gromov $\delta$Detectable with $N \geq 20$ states6-12 monthsExisting transport setups

#7. Discussion: From Measurement to Hardware

If Protocols A-C confirm the ZBW-Majorana hypothesis, the implications for quantum computing hardware are immediate:

  1. $\mathcal{O}_{\text{ZBW}}$ as a qubit readout: The $\mathbb{Z}_2$ nature of the invariant means it can serve as a projective measurement of the topological state
  2. Intrinsic protection: The $\mathbb{Z}_2$ grading is discrete — no continuous perturbation can change it — providing hardware-level error protection without active QEC
  3. Adelic computation: If ZBW is p-adic, reading it requires non-Archimedean measurement protocols — these are the first-generation tools for adelic quantum information processing

This paper provides the experimental bridge from the mathematical framework (P1) and QFT computation (P2) to bench-top measurement. The falsifiability matrix ensures the program can be tested, confirmed, or refuted — either outcome advances the understanding of ZBW physics.


#References

  1. Zitterbewegung as a p-Adic Observable (P1). QNFO Research (2026)..
  2. Majorana Zitterbewegung Current Correlator (P2). QNFO Research (2026)..
  3. Guo, Z., Xu, B., & Gu, Q. (2025). Vortex-Enhanced Zitterbewegung in Relativistic Electron Wave Packets. arXiv:2511.21142.
  4. Gerritsma, R., et al. (2010). Quantum simulation of the Dirac equation. Nature, 463, 68-71.
  5. Kitaev, A. (2001). Unpaired Majorana fermions in quantum wires. Phys.-Usp., 44, 131.
  6. Murtagh, F. (2004). On ultrametricity, data coding, and computation. J. Classification, 21, 167-184.

Generated by QNFO Research Agent. Companion to P1 and P2.

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