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(c) Concepts 1996-2026 Miroslav Sotek. All rights reserved.

(c) Code 2020-2026 Miroslav Sotek. All rights reserved.

ORCID: 0009-0009-3560-0851

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scpn-quantum-control -- Paper 0 K_nm preregistered replay report

GOTM-SCPN Paper 0 K_nm preregistered replay

  • Paper: GOTM-SCPN Paper 0: The Foundational Framework
  • Schema: paper0_knm_preregistered_replay_v1
  • Status: blocked_non_closing_preregistered_replay
  • Execution surface: offline deterministic replay; no QPU submission; no network dependency.

Claim boundary

This replay is a deterministic, no-QPU preregistration artefact. It does not validate K_nm as a measured physical coupling law and does not authorise hardware submission.

Inputs

  • primary_candidate: data/public_application_benchmarks/eeg_alpha_plv_8ch.json
  • negative_control: data/public_application_benchmarks/ieee5bus_power_grid.json
  • negative_measured_couplings: data/knm_physical_validation/measured_couplings_power_grid_ieee5bus.json
  • preregistration: docs/paper0_first_preregistered_downstream_experiment.md
  • pathway: docs/paper0_experimental_pathway.md
  • lane_registry: docs/paper0_lane_registry.md

Reproducibility manifest

  • Generator: scripts/run_paper0_knm_preregistered_replay.py
  • Comparator: scripts/compare_paper0_knm_preregistered_replay.py
  • Gate: scpn-bench paper0-knm-preregistered-replay-gate
  • Floating-point policy: numpy float64 deterministic matrix diagnostics
  • Randomness policy: fixed local permutation-null seeds; no global RNG state

Input digests: - primary_candidate: data/public_application_benchmarks/eeg_alpha_plv_8ch.json sha256 1a6e4e4369902eccaebd29a7eb960252e3aca851310a2e08f56922d78312db9f - negative_control: data/public_application_benchmarks/ieee5bus_power_grid.json sha256 189c5db6dfc42faed529256ed4f6b7d879968900ad0e42a50d5f12dfb59af75c - negative_measured_couplings: data/knm_physical_validation/measured_couplings_power_grid_ieee5bus.json sha256 c2df21d988b3d3bee763f80ecc76e3fe863fed147d34df647904feeb34d591fd

Primary candidate: EEG alpha PLV

  • Source: eeg_alpha_plv_8ch
  • Domain: eeg
  • Matrix shape: [8, 8]
  • Pearson upper-triangle correlation: 0.898892484379
  • Spearman upper-triangle correlation: 0.916002410296
  • Frobenius relative error: 0.860101256997
  • Candidate density: 1.0
  • Permutation-null seed: 2701
  • Permutation-null count: 512
  • Empirical two-sided null p-value: 0.001949317739
  • Observed-vs-null z-score: 4.598696045381

Primary blockers: - PLV values are dimensionless synchronisation observables, not calibrated coupling magnitudes. - No per-edge uncertainty model is present in the public EEG candidate artefact.

Negative control: IEEE 5-bus power grid

  • Source: ieee5bus_power_grid
  • Domain: power-grid
  • Matrix shape: [5, 5]
  • Pearson upper-triangle correlation: 0.226143607811
  • Spearman upper-triangle correlation: 0.190394327647
  • Frobenius relative error: 0.998081120431
  • Candidate density: 0.5
  • Permutation-null seed: 2702
  • Permutation-null count: 512
  • Empirical two-sided null p-value: 0.518518518519
  • Observed-vs-null z-score: 0.673781840801
  • Measured pairwise entries: 10
  • Entries with uncertainty: 10
  • Normalisation locked: True

The sparse power-grid control remains non-closing and prevents topology-only success from being treated as measured-system validation.

Gates

  • named_system: pass
  • units_and_normalisation: blocked_primary_dimensionless_plv
  • pairwise_uncertainty: blocked_primary_missing_per_edge_uncertainty
  • negative_control: pass_non_promotional_sparse_control_remains_non_closing
  • qpu_submission: blocked_no_qpu_preregistration_lane
  • claim_promotion: blocked_measured_system_gate_open

Promotion decision

  • Decision: do_not_promote
  • Hardware submission authorised: False
  • Claim promotion authorised: False

Required evidence before reconsideration: - calibrated EEG coupling magnitudes with source units - per-edge uncertainty model for the primary measured-system candidate - matched null-model battery across dense and sparse controls - frozen analysis manifest reviewed before any QPU submission

Falsifiers: - primary candidate remains dimensionless PLV-only after source audit - negative control becomes indistinguishable from primary under the locked null battery - input digest drift occurs without a new preregistration revision - any hardware submission path is requested before measured-system gates close

Next required artefacts

  • measured EEG coupling-magnitude dataset with source units and per-edge uncertainty
  • frozen analysis manifest for the selected measured-system replay
  • null-model battery over matched sparse and dense candidate graphs