Recently the existence of space as a complex dynamical system was discovered, based upon various experiments going back to 1887. The early experiments by Michelson and Morley 1887, and Miller 1925/26, used light speed anisotropy detected with interferometers. Only in 2002 was the calibration theory first derived. More recently there have been other experimental techniques, including Doppler shift effects detected by NASA using spacecraft Earth flybys. The most recent technique uses current fluctuations through the nanotechnology reverse-biased Zener diode barrier potential, by using two detectors and measuring the time delay in correlations to determine speed and direction of the space flow. Physics has never had a knowledge of this dynamical space, and the theory is now well developed, and is now known to explain the origin of gravity, quantum fluctuations, bore hole g anomalies, galactic rotations, galactic lensing of light, universe dynamics, laboratory G measurements, and more. This dynamical space supports a coordinate system, and it was this that was originally thought to be space itself.
So far proposed quantum computers use fragile and environmentally sensitive natural quantum systems. Here we explore the notion that synthetic quantum systems suitable for quantum computation may be fabricated from smart nanostructures using topological excitations of a neural-type network that can mimic natural quantum systems. These developments are a technological application of process physics which is a semantic information theory of reality in which space and quantum phenomena are emergent.
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