QAI SPECTRE™ Super Turing Analog Neural Machines Obsolete Quantum Computers And Enable Adaptive AI

QAI LLC has developed new super Turing computing semiconductor technology and systems to synthesize super Turing machines that dominate all forms of computation.


QAI SPECTRE™super turing computers versus quantum computers

The Church-Turing limit restricts all current computation including quantum computers to rational number computation. This fundamentally limits their ability to solve problems because the rational numbers are a tiny fraction of all real numbers, akin to our small solar system when compared to stars and planets encompassing the visible universe.

This Church-Turing limit has affected everything in modern day life with no person or thing untouched. Spanning the life science fundamental challenges to cure disease to Artificial Intelligence systems, all Turing constrained to narrowly defined applications.

Super Turing Machine Black Swan Event

Black swans were considered to be impossible until they were observed in 1697 in western Australia by Dutch explorers. Since then the term black swan has become known as an event or occurrence that deviates beyond what is normally expected of a situation and is impossible to predict but has a massively disproportionate affect. The advent of the QAI SPECTRE™ super Turing machines is a black swan event in history.

Countries that integrate/adopt QAI SPECTRE™ super Turing machines will dominate the world because QAI SPECTRE™ super Turing machines obsolete quantum computation and enable adaptive Artificial Intelligence, paving a way for the technological singularity.


QAI SPECTRE™ super Turing Machines obsolete Turing limited quantum computation because they have infinitely more degrees of problem solving freedom. The Turing limit, defined by Dr Alan Turing in 1936, fundamentally restricts all computers. Dr Turing was working on a super Turing theory of computation that exceeded his original work but he died before completing it, while leaving no information on the new super Turing theory.

If Turing had completed this work on super Turing machines the world would be a much different place, since super Turing machines enable the solution to exponential problems, which include a form of tumor cell genomic analysis that is currently intractable today. In 1993, Dr Hava Siegelmann and Dr Eduardo Sontag independently developed the super Turing thesis Turing never completed, however current computation was already deeply entrenched and the thesis languished as an obscure mathematical tome for decades.

Simultaneously, Lars Wood began development of a new self-organizing analog neural quantum wireless device interconnect, which independently addressed analog device high fan in and fan out issues discussed in the Siegelmann-Sontag super Turing thesis.

Upon discovering a copy of the Siegelmann-Sontag super Turing thesis Lars integrated the mathematical proofs into his own research. Since composite analog semiconductor technology in ‘95 was not sufficiently refined to implement Wood’s novel QAI SPECTRE™ super Turing designs, he implemented a simulator whose purpose was to test his super Turing models of computation on practical applications until advanced composite analog semiconductor technology became sufficiently refined to synthesize his designs in VLSI.


Finally, after 25 years of development QAI SPECTRE™ super Turing machines and their automated synthesis, the QAI “BRAIN CHIP” super Turing synthesis system, are a reality. Fabricated in a module smaller than a child’s hand, yet operating at room temperature at astronomical Terahertz self-organizing frequencies and with over 500 quadrillion analog neural operations per sec/integrated circuit chip, QAI SPECTRE™ is changing the world.

THE QAI SPECTRE™ SUPER TURING 'BRAIN CHIP' TECHNOLOGY VIDEO OVERVIEW. The octopus logo has three meanings. First, natural systems are inherently super Turing. Second, super Turing machines are to infiltrate into all systems of the world. Three, super Turing systems bridge to current Turing systems to enable solutions for all of human kind. The video background is a ‘BRAIN CHIP’ self-organizing simulation prior to synthesis/fab that targets cancer research exponentially hard genomic analysis, currently is intractable.