Integrating and introducing CERN and NCBI data science to understand quantum realm computations
Raghavendra Rao Sankaramanchi, V. Kamakshi Prasad, Kumara Chandra Singarapu +5 more
Abstract Big data in the coming days is going to become an integral part of life existing on this planet. Hence, introducing the early stage data analytics with the European Organization for Nuclear Research (CERN) and the National Center for Biotechnology Information (NCBI) would generate interest in the research community for the rapidly changing world of technology. This study is especially intended to integrate two organizations data for understanding the quantum realm computations. Generally, Quantum Computation (QC) creates the notion in the brain as Qu-bits. But here, QCs are the principles followed by the particles, atoms, molecules, and systems. Few of them are Pauli’s exclusion principle, superposition and entanglement. These principles played a vital role in the construction of proton to an atom and to higher systems. In this present work, we have collected homo-sapiens’ chromosomes data from NCBI and integrated it with CERN data to understand quantum computations. We have identified a couple of computations and communications taking place inside the genes by integrating the recent scientific results obtained at CERN. We have proposed a novel code-named peacock code (PCOC) and designed a prototype to develop a unique identity with blockchain technology. A typical correlation between CERN and NCBI datasets are integrated into this study statistically with R programming tool to understand supersymmetry and develop future computations with natural principles.
Journal of Physics Conference Series•Oct 1, 2019•0 citations