EL-RAKHAWI ADAPTIVE QUANTUM-BIOPHYSICAL INTELLIGENCE FRAMEWORK (AQBI) A Unified Paradigm for Room-Temperature Quantum Computing and Biologically Grounded Artificial General Intelligence
Identification
- Clé publique
- radar:r-d11f57d6779aeeef0689e5b226de417a
- Auteurs
- mohamed kamal arafa el-rakhawi
- Année déclarée
- 2026
- Langue déclarée
- en
- Type source
- book
- Première détection
- 2026-11-13T12:41:17.555597+00:00
- Dernière observation des métadonnées
- 2026-11-13T12:41:17.555597+00:00
- Dernière vérification HTTP
- Non effectuée
Résumé documentaire — langue originale
The El-Rakhawi Adaptive Quantum-Biophysical Intelligence Framework (AQBI) resolves the dual crises of AI's energy bankruptcy and quantum computing's decoherence fragility through a unified paradigm harnessing room-temperature biological quantum coherence. Drawing from the Fenna-Matthews-Olson complex's near-perfect energy transfer efficiency, AQBI integrates three synergistic layers: (1) Biological Quantum Interface (BQI), engineered protein complexes serving as room-temperature qubits with microsecond coherence times via environment-assisted quantum transport; (2) Quantum Spiking Neural Networks (QSNNs), combining quantum computation with event-driven adaptive learning through Quantum-Modulated Spike Timing and quantum-generalized STDP, achieving 10^6 operations per joule; (3) Topological Protection Layer, encoding information in global invariants immune to local perturbations, eliminating the need for active error correction. Mathematical formulations employ Lindblad master equations for open quantum dynamics and quantum STDP learning rules. Projected performance by 2035 includes 10^6-fold energy efficiency improvement over GPUs, 10^3 speedup for quantum simulation, and 100-fold reduction in training data requirements. AQBI serves as the central processing architecture unifying the El-Rakhawi Unified Theory of Biophysical Sovereignty, enabling PBAC's predictive coding, SCPBF's Full Biological Digital Twins, ENPSF's Organoid Intelligence, RLQBLT's genomic decoding, and ECP-ANF's ethical autonomous navigation. This paradigm transitions computing from the silicon era to the post-silicon biophysical era, where intelligence emerges not from brute-force statistics but from harmony with quantum-biological reality, offering a path to energy-efficient Artificial General Intelligence grounded in biological values and aligned with human flourishing.
Identifiants
- OPENALEX
- https://openalex.org/W7223451776
- DOI
- 10.5281/zenodo.23614383
Repères documentaires
- Famille documentaire
- Livre
- Types déclarés par les sources
- book
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Description bibliographique du livre
- Date de publication déclarée
- 2026-10-24
Disponibilité non établie
Sources
OpenAlex · Document 1
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mohamed kamal arafa el-rakhawi. EL-RAKHAWI ADAPTIVE QUANTUM-BIOPHYSICAL INTELLIGENCE FRAMEWORK (AQBI) A Unified Paradigm for Room-Temperature Quantum Computing and Biologically Grounded Artificial General Intelligence. 2026. https://doi.org/10.5281/zenodo.23614383
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- APA
- mohamed kamal arafa el-rakhawi. (2026). EL-RAKHAWI ADAPTIVE QUANTUM-BIOPHYSICAL INTELLIGENCE FRAMEWORK (AQBI) A Unified Paradigm for Room-Temperature Quantum Computing and Biologically Grounded Artificial General Intelligence. https://doi.org/10.5281/zenodo.23614383
- Chicago
- mohamed kamal arafa el-rakhawi. EL-RAKHAWI ADAPTIVE QUANTUM-BIOPHYSICAL INTELLIGENCE FRAMEWORK (AQBI) A Unified Paradigm for Room-Temperature Quantum Computing and Biologically Grounded Artificial General Intelligence. 2026. https://doi.org/10.5281/zenodo.23614383
- ISO 690
- mohamed kamal arafa el-rakhawi. EL-RAKHAWI ADAPTIVE QUANTUM-BIOPHYSICAL INTELLIGENCE FRAMEWORK (AQBI) A Unified Paradigm for Room-Temperature Quantum Computing and Biologically Grounded Artificial General Intelligence. 2026. https://doi.org/10.5281/zenodo.23614383
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Source bibliographique / publication d’origine · https://doi.org/10.5281/zenodo.23614383
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