Conceptio › Archive › PhilArchive
PhilArchive open access

Internal-Informational Quantum Theory (IFT-ISE) From Double-Slit Interference to Black-Hole Informational Horizons Complete Theoretical and Experimental Edition

Greco, Giuseppe Junior · 2026
PhilArchive · Papers · 2026
Open Source ↗
philosophy
This paper presents Internal-Informational Quantum Theory (IFT-ISE), a unified framework in which quantum behavior emerges from the vibrational dynamics of a primordial string-like substrate. Information is interpreted as relational patterns arising from interference and energy exchange among fundamental excitations, rather than as computational bits or as part of a literal simulation. The theory combines Informational Field Theory (IFT), where spatial probability distributions arise from local informational entropy gradients generated by vibrational perturbations, with Internal State Encoding (ISE), a discrete informational basis that governs the transition between wave-like and particle-like behavior. Wave-particle duality is reinterpreted as a consequence of temporal incompatibility: since photons possess no proper time, even minimal vibrational interference that introduces relational time renders extended wave propagation incompatible, enforcing particle-like behavior. The framework provides a complete reconstruction of the double-slit experiment from first principles and predicts upstream coherence effects. It naturally extends to black-hole horizons, where extreme vibrational interference triggers active decompositional dynamics. Incoming quantum states are decomposed and redistributed across compatible informational layers according to the Coherence Redistribution Principle. Black holes are interpreted as cosmic cleaning and recombination nodes that regulate informational load and preserve global coherence. The theory offers a unitary resolution of the black-hole information paradox and yields several falsifiable predictions accessible through precision interferometry and gravitational-wave observations.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 729177
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive