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Quantum Displacements Dictated by Machine Learning Principles: Towards Optimization of Quantum Paths
(Springer Link, 2023)
In Physics the energy of any system represents a sensitive variable because of it depends the functionality and evolution of system at time. Thus the deep knowledge of the interactions of system might be a remarkable ...
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Improving the Ca2+ Signaling Performance Through the Bennett-Brassard Protocol
(IEEE, 2023)
Since Calcium 2+ ions are expected to play a role as to sustain the desired homeostasis in cells, therefore the signaling of them constitutes a relevant aspect to optimize an efficient treatment of cells in a framework of ...
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Quantization with Infinite Classical Fields: The Quantum/Classical Correspondence
(IEEE, 2023)
It is shown that quantization of an external field apart of being intrinsic in quantum field theories, it can be also done in a fully scenario of classical electrodynamics. In this paper the quantization of field is ...
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The Internet of Nanomedicine Things
(IEEE, 2023)
In contrast to the existent proposal called Internet of Bio-nano Things (IBNT), in this paper is proposed the Internet of NanoMedicine Things (INMT) whose main action is to cure diseases through hardware-software interfaces. ...
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