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March 29, 20260 citationsOpen Access

Information Causality Implies Kernel Positivity and Geometric Robustness of Quantum Correlations (Version 3)

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DSDaniel Süß

Key Points

  • The aim is to establish Information Causality as the basis for the positive semi-definite structure of bipartite correlation kernels.
  • Numerical verification using eigenvalue-based testing of random kernels.
  • Testing of higher-order Information Causality protocols for detection rates.
  • Verification of Tsirelson bound within geometric frameworks.
  • Achieved 100% detection rate for non-positivity in higher-order protocols.
  • Confirmed the mathematical requirement of kernel positivity as a causal consequence.
  • Established reproducibility with a complete Python verification suite.

Abstract

Version 3 of this paper provides the final numerical verification for a research series investigating the axiomatic foundations of quantum mechanics. Building upon previous work on Entanglement, No-Signaling, and Symmetry, this paper establishes Information Causality (IC) as the sole origin of the positive semi-definite (PSD) structure of bipartite correlation kernels. Key Scientific Updates in v3: •Numerical Proof (Turbo-Scan v6): Rigorous eigenvalue-based PSD testing of 500 random kernels. •Resolution of the "Gray Zone": Demonstration that higher-order IC protocols (N=3) achieve a 100% detection rate for non-positivity. •Geometric Universality: Verification of the Tsirelson bound (22) in the hyperbolic plane (H²). •Reproducibility: Inclusion of the full Python verification suite and raw simulation data. This work demonstrates that the mathematical requirement of kernel positivity is a direct physical consequence of the causal structure of information exchange.

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Cite This Study

Daniel Süß (2026) studied this question.

synapsesocial.com/papers/69c8c3bdde0f0f753b39ebe7https://doi.org/10.5281/zenodo.19255185
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