On Macroscopic Quantum Phenomena in Biomolecules and Cells: From Levinthal to Hopfield
Figure 2
Schematic presentation of the memory attractors in the (many-electronic) energy-state () hypersurface of the Hopfield-like quantum-holographic memory/propagator of the open macroscopic quantum (sub)system of cell’s particular spatial quantum ensemble of (noninteracting and dynamically noncoupled) chemically identical proteins of th type (and their corresponding biomolecular targets) [41, 42] in Feynman’s representation [44]: . It should be pointed out that quantum decoherence presumably plays a fundamental role in biological quantum-holographic neural networks via energy-state hypersurface shape adaptation (in contrast to low-temperature artificial qubit quantum processors where it must be avoided until the very read-out act of quantum computation)—which implies that nature presumably has chosen an elegantroom-temperature solution for biological quantum-holographic information processing, permanently fluctuating between eigenstates of energy and conformation of the proteins of th type (identical in their primary structure of the amino acids sequence) due to nonstationary environmental perturbations and subsequent decoherence by the environment, described by time-adapting density of conformational states (represented by corresponding depths of the minima in the figure above): , of cell’s biomolecular open macroscopic quantum (sub)system .
