Between Turing Machines and Quantum Computers, Nano-Analog May be in the Future of Computing

Turing machines are approaching their limit. Quantum computers are struggling with coherence, and with the missing knowledge regarding both interference and entanglement. Between these two big categories we find the new generation of the oldest computers: Analog!

Despite being first on the scene, analog computers surrendered the stage to digital machinea. The latter were simpler, scaleable, easy to miniaturize, and most critically, better with error correction. Digital computers dominated the marketplace for decades. Alas, they are coming in front of a wall. While it is easy to fix errors when data is carried through zeros and one -- the amount of data carried in binary is huge, both storage and computations are a thermodynamic burden; electricity demands by itself chokes progress.

All this happens when Richard Feynman conjecture from more than 50 years ago, is becoming a real machine with impressive results -- relying on the edge of science -- the apparent randomness that determines microscopic behavior. One remembers the warning of no lesser than Albert Einstein: quantum is not the story. Hidden variables make the world look random. If Einstein is right then quantum computers will never meet expectations.

The underlying idea of quantum computers is to 'take a ride' on 'nature as a computer'. It is the methodology of Innovation Solution Protocol (InnovationSP.net) that extracts the abstract principle from one solution, then reduces it to another solution (presumably better). Using AI Assisted Innovation (The AIAI package), we refocused on the new breed of analog computers. Nano-Analogs. We set up the input to a very complex system as choice parameters for a chemical compound. An electrical shock then brings the compound into a rapid phase change, the result thereof bears the complex calculations preset in the input array. Electrical, thermodynamic and gravitational forces operate, and settle in an instant, the distribution of the outcome on a collecting screen require days of Turing machine computation.

Nano analog computers are very limited to-date, but we trust in their role in the future of computing. For us the main goal is to Negotiate the Darwin barrier, which we hope is getting closer.