IPI Letters

Theoretical Approaches to Solving the Shortest Vector Problem in NP-Hard Lattice-Based Cryptography with Post-SUSY Theories of Quantum Gravity in Polynomial Time by Orch-Or

Trevor Nestor — 2025-03-11

The Shortest Vector Problem (SVP) is a cornerstone of lattice-based cryptography, underpinning the security of numerous cryptographic schemes like NTRU. Given its NP-hardness, efficient solutions to SVP have profound implications for both cryptography and computational complexity theory. This paper presents an innovative framework that integrates concepts from quantum gravity, non-commutative geometry, spectral theory, and post-supersymmetry (post-SUSY) particle physics to address SVP. By mapping high-dimensional lattice points to spinfoam networks and by means of Hamiltonian engineering, it is theoretically possible to devise new algorithms that leverage the interactions topologically protected Majorana fermion
particles have with the gravitational field through the spectral action principle to loop through these spinfoam networks where SVP vectors could then be encoded onto the spectrum of the corresponding Dirac-like dilation operators within the system. We establish a novel approach that leverages post-SUSY physics and theories of quantum gravity to achieve algorithmic speedups beyond those expected by conventional quantum computers. This interdisciplinary methodology not only proposes potential polynomial-time algorithms for SVP, but also bridges gaps between theoretical physics and cryptographic applications, providing further insights into the Riemann Hypothesis (RH) and the Hilbert-P ´olya Conjecture. Possible directions for experimental realization through biologically inspired hardware or biological tissues by orchestrated objective reduction (Orch-Or) theory are discussed.

Investigating Bodily Sensations as Predictors for Future Personal Events

Valeri Klimenko — 2025-02-28

This study explores the existence of precognitive abilities through the analysis of specific bodily sensations (SBS), which can be viewed as a new dimension within the spectrum of precognitive phenomena. Unlike traditional precognitive approaches, such as intuition or dreams, SBS provide a measurable and objective basis for predicting personal events (PE). Using two statistical tests – the binomial test and Cohen’s h –a significant deviation of the success rate from random probability was demonstrated, substantiating the predictive capacity of SBS. Qualitative analyses provided additional insights, including the categorization
of SBS into three emotional dimensions, their independence from physical distance, and their potential to predict dangerous events up to 72 hours in advance. The findings suggest that SBS could serve as a robust foundation for the development of precognitive early warning systems. However, they also raise critical questions regarding the ethical, societal, and psychological implications of such applications. Furthermore, these results expand the understanding of precognitive mechanisms, which should be further investigated in future studies with larger sample sizes.

Holographic Information Rate as a Resolution to Contemporary Cosmological Tensions

Bryce Weiner — 2025-03-10

We present a unified theoretical framework based on the recently discovered holographic information rate γ = 1.89 × 10⁻²⁹ s⁻¹ that simultaneously resolves multiple tensions in contemporary cosmological observations. This fundamental information processing rate, which maintains a precise relationship with the Hubble parameter (γ/H ≈ 1/8π), provides a natural explanation for discrepancies in the baryon acoustic oscillation (BAO) scale, the S8 parameter, and matter density measurements. We derive modified evolution equations incorporating information-theoretic constraints and demonstrate quantitatively how these modifications resolve current observational tensions while preserving the successes of the standard ΛCDM model. Our framework makes specific, falsifiable predictions for future observations, including precise values for correlation function modifications and scale-dependent corrections to structure formation. Statistical analysis using current observational data shows significant improvement in model fits compared to standard ΛCDM, with Bayesian evidence strongly favoring the holographic framework. The theory’s ability to resolve multiple independent tensions through a single fundamental parameter suggests a deeper connection between information processing and cosmic evolution.