PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 12, 20260 citationsOpen Access

A Historical Functional for Effective Physical Predictions, An operational interface for the Historical Attractor Theory

SPsergio leonardo Pradal

Key Points

  • The research aims to develop a functional framework to derive quantitative predictions from the Historical Attractor Theory.
  • Introduced an operational functional framework for data extraction.
  • Utilized empirical constants solely as calibration parameters.
  • Presented illustrative applications including quantum coherence and classical-quantum transitions.
  • Demonstrated limits on quantum coherence for massive systems.
  • Outlined bounds for quantum information processing capabilities.
  • Highlighted structural transitions between quantum and classical states.

Abstract

We introduce an operational functional framework that allows the extraction of quantitative, experimentally comparable predictions from the ontological structure of the Historical Attractor Theory (HAT). The proposed functional does not define new dynamics nor replace existing effective theories, but acts as a generator of observable quantities constrained by historical selection, identification, and coherence loss. Empirical constants enter exclusively as calibration parameters, not as adjustable couplings. Several illustrative applications are presented, including quantum coherence limits for massive systems, bounds on quantum information processing, and structural transitions between quantum and classical regimes.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

sergio leonardo Pradal (2026) studied this question.

synapsesocial.com/papers/698d6e925be6419ac0d5455ehttps://doi.org/10.5281/zenodo.18573585
Ask AI
Helpful
Bookmark
Share
View Full Paper