What question did this study set out to answer?

The aim is to perform preliminary consistency checks of the Stochastic Rupture framework using publicly available cosmological and quantum datasets.

May 31, 2026Open Access

Preliminary Empirical Consistency Tests of the Stochastic Rupture Framework Quantum hardware noise, large-scale structure, and baryon acoustic oscillations

Key Points

The aim is to perform preliminary consistency checks of the Stochastic Rupture framework using publicly available cosmological and quantum datasets.
Utilized Google Willow surface code data (450,000 shots, N=104 detectors) to observe quantum noise characteristics.
Applied an SR-motivated model to analyze data from the S8 tension dataset (7 surveys, 2020–2024).
Conducted a BAO geometric test to assess background geometry consistency.
Found Hurst exponent H=0.781 in quantum noise data, aligning with SR's long-range memory prediction.
The SR model fit shows chi2/ndof=0.46 compared to 8.10 for the LCDM model, indicating preference for SR.
BAO geometric test yielded e0_BAO=0.000 +/- 0.003, consistent with SR predictions and in 7.1 sigma tension with e0_S8.

Abstract

We report preliminary consistency checks of the Stochastic Rupture (SR) collapse framework usingthree classes of publicly available data. These are exploratory analyses intended to identify whetherSR predictions are consistent with existing observations -- not to claim confirmation of theframework. (i) In Google Willow surface code data (450, 000 shots, N=104 detectors), we find HurstH=0. 781 and chiₑff skewness=6. 02, consistent with SR prediction of long-range relational memoryin quantum hardware noise. (ii) In the S8 tension dataset (7 surveys, 2020-2024), an SR-motivatedsuppression model S8 (z) = S8LCDM * sqrt (1 - e0* (1+z) ^-2) fits the data with chi2/ndof=0. 46 vs8. 10 for LCDM, with a free parameter e0=0. 249 +/- 0. 035. AIC/BIC model selection places SRamong the preferred single-parameter models. (iii) A BAO geometric test yields e0BAO=0. 000 +/-0. 003, consistent with SR prediction that background geometry is unaffected -- in 7. 1 sigma tensionwith e0S8, a pattern that SR predicts and that tentatively discriminates it from massive neutrinos. In LIGO/Virgo data the test is inconclusive due to methodological limitations. All results are reportedwith explicit caveats and open problems.

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