on Fractal/QC Computing and on Elliptic Analysis

I perceive that attempts to go to the next level of information processing that is touted as quantum and built from the quantum approximations of our universe as encoded in formalized quantum mechanics hypotheses - - I believe these may not be an optimized system to harness and leverage uncertainty as revealed in elliptic-based maths that host our universe.

I could image that a virtual system built closer to the conceptual specs that are the maths and contrivances derived from the omphalos that host the patterns we experience as energy and information and time - - that such, closer to the actual mechanics, might allow more deterministic harnessing of the chaos. In other words, I suspect a system engineered and derived as virtual from the fundamental fractal concepts and motifs might allow still processing at a level meta in certainty such that it forms an algorithm and thus allows computation at a density (space and time) of greater utility than the delicate systems necessary to entangle real life objects that are often considered in quantum computing these days.

For example, the derivations can follow the natural fractal lead of DNA in structuring - such is already being done as wet experiments in labs as systems of assembled DNA topology can allow conceptual computation as simple proof of concepts, already.

But beyond: I am imaging, as perhaps of utillity, leveraging the concept I imagined as hosting memes - that of a specific, traceable quasicrystalline pattern. If the maths allow, I image a scheme where any given subroutine has a uniqueness in the pattern that allows tracing back to the seed information and such pattern feeds into other unique, traceable subroutines, etc. Thus, just like Universe itself, a system can be set up, let evolve and flow as energy does, following the passive guidance of the principle of least action, to some readout - some 'equilibrium' - and then the optimal starting conditions simply traced back like following strands and flow of a web, perhaps 3D and beyond, back in time. In theory, a quasicrystal, if the entire pattern can be fully read and elucidated, will contain it's entire history, in mirrored double.

For AI purposes: this seems to be the process we follow, to arrive at what we consider an idea, apparently coming from nothing but actually a projection of the various connectiveities, each could be considered as a subroutine, for example. We slice that projection off and present, et voici, an idea and then we show the bits that remain of the connectivities and claim some synthesis of an emergent 'idea' as portable, that can be unmoored from it's origins.

You see this natural evolution concept - that information, as ideas, evolve via the principle of least action - as a proposed actual practice: I included it in my first book project (the second book I still strive to complete as well in 20/20). There, I tease researchers who are probing the concept of how we innovate culturally through their study of aboriginal healing knowledge and how such networks. So, I innovated my idea on how we can much more optimally collaborate and 'publish' as I derived then on how the Universe functioned as baysian and networked. In short, I was proposing a new academic 'publishing' system based on collaborative ability and team projects as well as any individual efforts which become networked and inherently acknowledged in the system, as all knowledge ideas are traceable and thus fully acknowledgeable, should anyone care (and curiously, I doubt they will, in practice). And I meta-presented as 'publication' via networking with the elders (ie I emailed knowledge and requests, globally, to the canonical elders), thanking them for their inspiration to my innovation proposal.

And while we are on such pragmatic topics: Fourier transform I perceive has been highly successful as concept because it is simple and of such utility in certain disciplines - at least historically. I wonder if a system that has still the curvaceous potential but with denser information (as the elliptics seem more dense in information than the simple sines that allow Fourier) would be of similar or at least of some utility in the future?

11:13 AM November 19, 20/20 JSM