QRF/QFT Based Lorentzian Cryptographic Signatures on Quantum Kerr-(A)Ds Galilean Myers – Perr Driven Gravitational Transformations to Trace Anomalies for the Anti-COVID-19 Roccuffirna TM Evolutionary Drug Design

112 Pages Posted: 5 Jun 2021

Date Written: 2021

Abstract

General methods to quantize reference frame transformations, to a “superposition of coordinate transformations” have been previously introduced on an array of recent observations developed through gravitational amplification of primeval density fluctuations generated in the exceedingly early phase of cosmic evolution. In this paper, we strongly combine machine learning characteristics to Quantum Kerr-(A)dS-Myers–Perry black microBlackHole-Inspired Gravitational for both Euclidean and Lorentzian signatures in Practice. We provide algorithms by means of mean percentile free energy ranking, in a new recall-based evaluation metric for the generation of an anti-COVID-19 small molecule combination of RoccuffirnaTM, RoccuttirnaTM, and EplerotiffirnaTM anti-(nCoV-19) ligands. In this paper, we show that the notion of entanglement and superposition are observer-dependent features, and we write the Schrödinger equation in quantum circuit reference frames including Galilean transformation, and near-horizon symmetries ranging from supergravity theories to Lorentzian cryptographic signatures to enhance the RoccuffirnaTM’s gravity to trap the SARS-COV-2 viruses in practice.

Suggested Citation

Grigoriadis, Ioannis, QRF/QFT Based Lorentzian Cryptographic Signatures on Quantum Kerr-(A)Ds Galilean Myers – Perr Driven Gravitational Transformations to Trace Anomalies for the Anti-COVID-19 Roccuffirna TM Evolutionary Drug Design (2021). Available at SSRN: https://ssrn.com/abstract=3860640 or http://dx.doi.org/10.2139/ssrn.3860640

Ioannis Grigoriadis (Contact Author)

Aristotle University of Thessaloniki

Thessaloniki
Greece

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