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. I 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, I show that the notion of entanglement and superposition are observer-dependent features in quantum circuit reference frames including Galilean trans formation, 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.