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| Published: December 25, 2016
Powerful Scientific Projective Technique KANEHA-TIR-Ψ uses an “Integrated and Intensified-Ψ Entangled Quantum Computing”
Professor, and Head of Department of Applied Sciences and Humanities, Radha Govind Group of Institutions, Meerut, India, (Affiliated to Dr. A. P. J. Abdul Kalam Technical University, Lucknow, India, and All India Council for Technical Education (A.I.C.T.E.), New Delhi, India) Google Scholar More about the auther
DIP: 18.01.053/20160401
DOI: 10.25215/0401.053
ABSTRACT
We present scientific basis of Kapil-Neha Total Internal Reflection Quantum Mechanical Projection Wave function Ψ Technique (KANEHA-TIR-Ψ Projective Technique). KANEHA-TIR-Ψ projective technique uses an integrated computing approach of quantum entanglement for brain’s functioning, programming, training and development. This technique simultaneously stimulates and applies forces/correlations on trillions of elements of fine neural networks of different sections of human brain. As a result, those elements process/entangle/correlate information among each other by ‘intensified and integrated quantum-mechanical evanescent wave tunnelling of their neuro-energy wave function potentials into neighbouring neurons and cerebrospinal fluid. This technique is so powerful that under healthy environmental conditions – it can even regenerate/repair brain’s undeveloped/damaged neuron fine tissues/ neural-network. Experiments suggest that under suitable conditions of quantum-growth, KANEHA-TIR-Ψ projective technique has shown neurogenesis ‘possible’ even in adulthood age. KANEHA-TIR-Ψ projective technique is a revolutionary invention in the field of quantum-biophysics, mental-assessment, clinical-diagnosis, quantum-entanglement, quantum super-computing, neurogenesis, and non-destructive medical surgeries. It also provides ‘firm-evidences’ about quantum computing nature of human brain using electromagnetic wave signals.
Keywords
KANEHA-TIR-Ψ, Quantum Biophysics, Quantum-Entanglement, Quantum-Super-Computing, Neurogenesis
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2016 K Agarwal
Received: October 14, 2016; Revision Received: November 15, 2016; Accepted: December 25, 2016
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.053/20160401
10.25215/0401.053
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Published in Volume 04, Issue 1, October-December, 2016