Product-Bernoulli Hypercubes: A Unified Algebra for Meji, 64-State, and Odu-256 Routing

The Hyp(d) product-Bernoulli hypercube family unifies the 16-Meji, 64-state, and Odu-256 spaces as one object at three sizes. This revision adds a Reference Implementation & Verification note to Data Availability: the paper's falsifiable claims are now numerically verified in the open-source harmonic-engine package (tests/test_new_math.py, passing on CPU). Corollaries C1 (losslessness=rank-1), C2 (factorized alignment scalars), and C4 (closed-form product Fisher–Rao) are verified for d=4,6,8 in harmonic_engine/hypercube.py and geometry.py; inline math has been re-typeset from code spans into proper math mode.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-16
DOI
https://doi.org/10.5281/zenodo.20701834
Primary Topic
Advanced NMR Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Product-Bernoulli Hypercubes: A Unified Algebra for Meji, 64-State, and Odu-256 Routing

Weslyn Cory Whitehead
Zenodo (CERN European Organization for Nuclear Research)
Advanced NMR Techniques and Applications
article

Product-Bernoulli Hypercubes: A Unified Algebra for Meji, 64-State, and Odu-256 Routing

Weslyn Cory Whitehead
article en

Abstract

The Hyp(d) product-Bernoulli hypercube family unifies the 16-Meji, 64-state, and Odu-256 spaces as one object at three sizes. This revision adds a Reference Implementation & Verification note to Data Availability: the paper's falsifiable claims are now numerically verified in the open-source harmonic-engine package (tests/test_new_math.py, passing on CPU). Corollaries C1 (losslessness=rank-1), C2 (factorized alignment scalars), and C4 (closed-form product Fisher–Rao) are verified for d=4,6,8 in harmonic_engine/hypercube.py and geometry.py; inline math has been re-typeset from code spans into proper math mode.

Zenodo (CERN European Organization for Nuclear Research)
Klamath Community College (US)
Openalex Percentile: Top 13%
Advanced NMR Techniques and Applications
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