Autoadaptive Networks of Coherent Domains for “Intelligent” Quantum Computation and Quantum Information

It has been shown that liquid water can be considered as two-phases system composed of a coherent phase, in which the molecules oscillate in tune with an electromagnetic field within macroscopic regions called “coherent domains” and non-coherent vapor-like fraction, including uncorrelated molecules. Furthermore, such domains, due to the coherent dynamics, are the pools of quasi-free electrons forming cold coherent vortices upon an energy intake from the outside. Such electrons, in turn, form a plasma that, under suitable conditions, can itself become coherent and oscillate in tune with electromagnetic fields trapped inside it. We will show in this paper that if two or more plasma contained in water coherent domains interact each other, they can adaptively self-adjust their own oscillations in order to synchronize so creating a network of coherent domains oscillating in tune. Depending on the system’s parameters, different clusters of coherent domains, at different space-time scales, can appear. We finally show how this feature could be exploited and used to realize novel advanced quantum information and computational systems and quantum neural networks.