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DOI: 10.14569/SpecialIssue.2014.040308
PDF

Quantum Gravity Sensor by Curvature Energy: their Encoding and Computational Models*

Author 1: Francisco Bulnes

International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Extended Papers from Science and Information Conference 2014, 2014.

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Abstract: Through of the concept of curvature energy encoded in non-harmonic signals due to the effect that characterizes the curvature as a deformation of field in the corresponding resonance space ( and an obstruction to the displacement to the corresponding shape operator) is developed and designed a sensor of quantum gravity considering the quantized version of curvature as observable of gravitational field where the space is distorted by the strong interactions between particles, interpreting their observable in this case, as light fields deformations obtained on space-time background. To the application of this measurement we use a hypothetical particle graviton modeled as a magnetic dilaton which must be gauge graviton (gauge boson). Also are obtained several computational models of these photonic measurements, likewise their prototype photonic devices.

Keywords: Curvature energy; magnetic dilaton; quantum gravity sensor; strong interactions; quantum computing

Francisco Bulnes, “Quantum Gravity Sensor by Curvature Energy: their Encoding and Computational Models*” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Extended Papers from Science and Information Conference 2014, 2014. http://dx.doi.org/10.14569/SpecialIssue.2014.040308

@article{Bulnes2014,
title = {Quantum Gravity Sensor by Curvature Energy: their Encoding and Computational Models*},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Extended Papers from Science and Information Conference 2014}
doi = {10.14569/SpecialIssue.2014.040308},
url = {http://dx.doi.org/10.14569/SpecialIssue.2014.040308},
year = {2014},
publisher = {The Science and Information Organization},
volume = {4},
number = {3},
author = {Francisco Bulnes},
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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