Illustrative · unadmitted · revision 1

Graphene complementary-frequency dense matrix multiplication

This is a proposed definition for criticism. It is not an experiment run, result, evidence claim, canonical admission, inventory record, or procurement request.

Stable identifier
graphene-complementary-frequency-dense-matmul
Kind
physical
Intent
discrimination

Exact target

  • external-reference · graphene-complementary-frequency-matmul — operator-supplied graphene frequency-domain calculation proposal

Minimal decisive protocol

Complementary-frequency identity test

Encode two finite matrices into complementary optical frequencies, measure the nonlinear mixing output, and compare against an independently computed dense product under randomized phase and amplitude controls.

  1. Calibrate frequency response and detector linearity.
  2. Inject matrix-coded complementary-frequency fields.
  3. Acquire raw complex spectra and decode the candidate product.
  4. Repeat with shuffled, phase-scrambled, and zero-row controls.

Decision rule: The candidate survives only if decoded entries track the exact reference product within the predeclared error budget and controls reject linear leakage explanations.

Boundary: The test covers only the declared matrix size, frequency band, material stack, and detector reconstruction.

Controls

  • negative: One operand row is zeroed. (input row; Corresponding product contribution should vanish.)
  • ablated: Remove the nonlinear interaction region while preserving the readout path. (nonlinear interaction; Dense product signature should disappear or fall below threshold.)

Observables and units

Observables
ObservableUnitsMeasurementUncertainty reporting
relative matrix product errordimensionlessnormed decoded-versus-reference entriesreport detector noise and calibration propagation
frequency crosstalkdBout-of-band and off-entry spectral powerreport resolution and leakage floor

Calibration and repetitions

  • detector responsivity: traceable power sweep across the operating band — residual linearity error below the product error budget (A/W)

Replicate unit: independent matrix encoding; minimum 20, independent 5.

Randomization: matrix entries, phases, and order randomized

Stopping rule: complete all matrix blocks unless safety or detector saturation stop is reached

Uncertainty: laser phase noise, detector noise, frequency drift, nonlinear material variation; Monte Carlo the calibrated input covariance through decode and norm; publish matrices, raw spectra, calibration files, and exact oracle output

Success and falsifiers

Success

  • Decoded output agrees with the exact dense product within the predeclared error budget. (relative Frobenius error <= predeclared budget dimensionless)

Falsifiers

  • The same product signature remains when the nonlinear interaction is ablated. (ablation-normalized product signal >= predeclared leakage threshold fraction)

Required capability groups

  • frequency-source · required, any-one, quantity 1: phase-stable complementary-frequency source (system) — declared bandwidth and phase noise
  • spectral-readout · required, any-one, quantity 1: complex spectral readout with calibrated dynamic range (system) — raw spectra and linearity calibration

Related capability types: Calibrated phase-resolved optical detector array

Confounds and raw artifacts

  • frequency drift masquerades as complementary mixing: interleave reference tones; mitigation: lock and remeasure frequency calibration
  • complex-spectrum · binary spectra plus JSON metadata · retain original acquisition and decode code hash

Nonclaims

  • No graphene material performance or scaling is admitted by this fixture.
  • It does not claim a universal optical matrix processor or useful energy efficiency.
  • No measurement is a result; this record only specifies a decisive protocol.

Provenance boundary

The citation supplies graphene context only; it does not support the proposed dense multiplication claim.

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