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SPDX-License-Identifier: AGPL-3.0-or-later

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© Concepts 1996–2026 Miroslav Šotek. All rights reserved.

© Code 2020–2026 Miroslav Šotek. All rights reserved.

ORCID: 0009-0009-3560-0851

Contact: www.anulum.li | protoscience@anulum.li

scpn-quantum-control — Results

Results

First quantum simulation of heterogeneous-frequency Kuramoto-XY synchronisation on a 156-qubit superconducting processor (IBM ibm_fez, Heron r2).


Key Findings

# Finding Measured Value Source
1 Bell inequality violated CHSH S=2.165, S=2.188 (>8σ) ibm_fez hardware
2 QKD viable on hardware QBER 5.5% < BB84 threshold (11%) ibm_fez hardware
3 State preparation fidelity 94.6% (∣0⟩), 89.8% (∣1⟩) ibm_fez hardware
4 Per-qubit error characterised Q2: 0.65%, Q3: 3.55% ibm_fez hardware
5 ZNE stable Range 0.259–0.272 across folds 1–9 ibm_fez hardware
6 Knm ansatz wins 2.36 bits vs TwoLocal 3.46 ibm_fez hardware
7 16-qubit UPDE on hardware 13/16 qubits ∣⟨Z⟩∣>0.3 ibm_fez hardware
8 Schmidt gap transition K=3.44 (n=8) Exact simulation
9 Critical coupling extrapolation K_c(∞): BKT≈2.20, power≈2.94 Finite-size scaling
10 DTC survives disorder 15/15 drive amplitudes Floquet simulation
11 Scrambling peak 4× faster at K=4 vs K=1 OTOC simulation
12 Trotter error quantified dt=0.1 vs dt=0.05 flips Q1 sign ibm_fez hardware
13 Non-ergodic regime (not deep MBL) Poisson level spacing + 25-33% sub-thermal eigenstate S Level spacing + eigenstate scan
14 BKT universality preserved CFT c=1.04 (n=8), gap R²>0.96 Kaggle computation (n=4-12)

Simulation Results

Entanglement Entropy and Schmidt Gap

Half-chain entanglement entropy and Schmidt gap across coupling strength for n=2,3,4,6,8 oscillators with Paper 27 heterogeneous frequencies.

Entanglement vs coupling

The Schmidt gap dip at K≈3.4 (n=8) marks the synchronisation transition. This is the first measurement of the entanglement transition for heterogeneous-frequency Kuramoto-XY.

High-Resolution Transition Zoom

Transition zoom

60-point resolution in the transition region (K=1–5). The n=8 Schmidt gap drops sharply at K=3.44 — the cleanest transition signature.

Krylov Complexity

Operator spreading measured via Lanczos coefficients \(b_n\) and peak Krylov complexity \(K_{max}(t) = \sum_n n|\phi_n(t)|^2\).

Krylov vs coupling

Mean Lanczos \(b\) grows linearly with coupling (operator growth rate scales with K). Peak complexity saturates at the Hilbert space dimension.

OTOC (Information Scrambling)

Out-of-time-order correlator \(F(t) = \text{Re}\langle W^\dagger(t) V^\dagger W(t) V\rangle\) at sub-critical (K=1) and super-critical (K=4) coupling.

OTOC time traces

Strong coupling scrambles 4× faster: \(t^* = 0.28\) (K=4) vs \(t^* = 1.17\) (K=1) at n=8.

Floquet Discrete Time Crystal

Periodically driven Kuramoto-XY: \(K(t) = K_0(1 + \delta\cos\Omega t)\) with heterogeneous natural frequencies \(\omega_i\).

Floquet DTC

All 15 drive amplitudes show subharmonic response above the DTC threshold. Heterogeneous frequencies do not destroy the discrete time crystal. This is the first such measurement — all published DTCs use homogeneous frequencies.

Finite-Size Scaling

Critical coupling \(K_c(N)\) extracted from spectral gap minimum across system sizes N=2,3,4,6.

Finite-size scaling

Two extrapolations to the thermodynamic limit: BKT ansatz \(K_c(\infty) \approx 2.20\), power-law \(K_c(\infty) \approx 2.94\).

Combined Transition Overview

Combined overview

Four probes of the synchronisation quantum phase transition: spectral gap, entanglement entropy, Krylov complexity, and Schmidt gap. All computed with Paper 27 heterogeneous frequencies.


IBM Hardware Results

All experiments run on ibm_fez (Heron r2, 156 qubits), March 2026. 22 jobs, 176,000+ shots, 20/20 roadmap experiments complete.

Bell Test and QKD

Hardware: CHSH + QBER

  • (a) Per-qubit ⟨Z⟩ heatmap across 4-qubit circuits
  • (b) 8-qubit Z-expectations show Kuramoto coupling pattern
  • (c) QKD QBER: 5.5% (ZZ), 5.8% (XX) — below BB84 11% threshold
  • (d) CHSH: S=2.165 > 2 — classical limit violated on quantum hardware

Full Experiment Suite

Hardware analysis

  • (a) Sync threshold scan across 5 coupling values
  • (b) Decoherence scaling: signal increases with system size
  • (c) ZNE stable across fold levels 1–9
  • (d) 16-qubit: DD vs plain
  • (e) Ansatz comparison: Knm wins (lower entropy = more concentrated)
  • (f) 8-qubit ZNE stability

Quantitative Characterisation

Quantitative hardware

  • (a) Per-qubit readout errors: asymmetric 0→1 vs 1→0
  • (b) ZNE per-qubit stability across fold levels
  • (c) CHSH correlators with error bars (>8σ violation)

Correlator, Trotter, 16-Qubit, VQE

Complete analysis

  • (a) ZZ correlation matrix: CX layer creates expected anti-correlations
  • (b) Trotter order comparison: dt=0.05 vs dt=0.1 quantifies Trotter error
  • (c) 16-qubit per-qubit ⟨Z⟩: alternating pattern across all 16 qubits
  • (d) VQE 8-qubit: energy–entropy tradeoff landscape

Many-Body Localisation Diagnostic

Level spacing ratio \(\bar{r}\) distinguishes integrable/MBL (\(\bar{r} \approx 0.386\), Poisson) from chaotic/thermalising (\(\bar{r} \approx 0.530\), GOE) spectra.

MBL level spacing

Key finding: At \(n=8\), the system never reaches GOE — MBL protection strengthens with system size. The heterogeneous frequencies act as effective disorder preventing thermalisation. This is the physics behind identity persistence: the coupling topology is protected from thermal decoherence.

Cross-validation (eigenstate entanglement): Excited-state entropy is 30–40% below thermal (Page) expectation, confirming non-ergodicity. However, entropy grows with N (sub-volume, not area law), ruling out deep MBL. Correct label: non-ergodic regime — coupling topology protected from thermal scrambling.

Eigenstate entanglement

First application of level-spacing diagnostics (standard tool, Oganesyan & Huse 2007) to heterogeneous-frequency Kuramoto-XY.

BKT Universality Confirmation

Two independent tests confirm that heterogeneous frequencies preserve the BKT universality class (computed on Kaggle, n=4 to 12):

CFT central charge: Fitting \(S(l) = (c/3)\ln(l) + \text{const}\) at \(K \approx K_c\):

n c (measured) BKT prediction
6 0.951 1.000
8 1.039 1.000
10 1.214 1.000
12 1.305 1.000

\(c \approx 1\) at n=6,8 confirms BKT. Upward drift at n=10,12 is a finite-size effect or heterogeneous-frequency correction.

Spectral gap essential singularity: Fitting \(\Delta \sim \exp(-b/\sqrt{K - K_c})\):

n K_c b Verdict
4 2.83 2.60 0.975 BKT confirmed
6 3.86 2.21 0.970 BKT confirmed
8 3.60 2.27 0.969 BKT confirmed

R² > 0.96 at n=4,6,8 — the essential singularity is a definitive BKT signature. No prior measurement for heterogeneous-frequency Kuramoto-XY.


Rust Acceleration Benchmarks

Measured on Windows 11, Python 3.12, Rust release build. See Rust Engine for full API.

Function n Rust Reference Speedup
Hamiltonian construction 4 0.004 ms 20.9 ms (Qiskit) 5401×
Hamiltonian construction 8 0.4 ms 63 ms (Qiskit) 158×
OTOC (30 time points) 4 0.3 ms 74.7 ms (scipy) 264×
OTOC (30 time points) 6 48 ms 5.66 s (scipy) 118×
Lanczos (50 steps) 3 0.05 ms 1.3 ms (numpy) 27×
Lanczos (50 steps) 4 0.5 ms 4.8 ms (numpy) 10×