A novel biophysical quantum algorithm predicts super-conductive properties in animate and inanimate systems

This paper addresses the question whether superconductive phenomena in superconductive materials and in life systems have common physical grounds. An extensive literature survey was performed with regard to intrinsic energy gap frequencies reported on a range of superconductor materials as measured by different spectroscopic technologies. The registered frequencies were plotted on an acoustic scale and compared with earlier detected EM frequency patterns revealed in various life systems. A meta-analysis showed that the particular wave frequency patterns in superconducting materials have discrete coherent frequency bands and are very much in line with those found in biological systems. We hypothesize that the revealed individual frequencies either alone or in combination provide a means to select or identify materials that exhibit superconductive properties at elevated critical temperature ranges. We propose that the spectral energy gaps of superconducting materials can be positioned at the pointer states of a pattern of coherent frequencies, and can be described by an acoustic algorithm, coined by us the GM-biophysical principle. High Temperature Superconductors (HTSC's) show patterns of frequencies, in which frequency ratios of 2:3 (third harmonic) are incorporated in ratios of 1:2 (fundamental frequency). We propose to apply semi-conductive smectites (phyllosilicates), studied in detail by us earlier, that radiate GM-like EMF frequencies, in combination with HTC superconductor materials, to further improve superconductive properties as a modality of intrinsic quantum lasing. Our observations highlight a potential quantum bridge between superconducting properties in physics and biology.
https://www.researchgate.net/publication/331902977_A_novel_biophysical_quantum_algorithm_predicts_super-conductive_properties_in_animate_and_inanimate_systems