Quantum Resonance Energy Carrier (QREC):A Theoretical Framework for Stable, Extractable Resonance Energy (v1.0)
Abstract
Quantum Resonance Energy Carrier (QREC) The QREC framework proposes a theoretical mechanism for extracting usable, stable energy from resonance-based spacetime–matter coupling, as described in the Quantum Resonance Unified Model (QRUM). Rather than introducing exotic physics, the model treats energy transfer as a controlled resonance-matching process between: (1) QRUM-type spacetime frequency modes, (2) engineered oscillatory structures, and (3) a stabilizing coherence field enabling loss-controlled transfer. The report presents the core physical assumptions, simplified coupling equations, and boundary conditions required for stable resonance-based energy exchange. While purely theoretical, the QREC concept is mathematically compatible with the established QRUM framework and introduces a scalable, non-destructive energy-carrier architecture. No technological implementation is claimed. The model is offered exclusively as a scientific and mathematical exploration, published for timestamping and academic reference. Related intellectual property: Hungarian Patent Application — P2500452, Registered under the Hungarian Intellectual Property Office (SZTNH). Related publications: – Einstein–Quantum Resonance Unified Model (QRUM) – Quantum Resonance Bio-Interface Theory – Quantum Resonance Bio-Interface and Cosmological Extension The author provides this document for scientific discussion only.
Read the paper
Related studies
- Chaos and quantum thermalization
- The Dalton quantum chemistry program system
- Cord Blood Leptin and Adiponectin as Predictors of Adiposity in Children at 3 Years of Age: A Prospective Cohort Study
- Quantitative metabolomics by H-NMR and LC-MS/MS confirms altered metabolic pathways in diabetes
- Stable adiabatic quantum batteries
- A novel self-lipid antigen targets human T cells against CD1c(+) leukemias
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.