Nifty, makes one wonder if logarithmic or sigmoid functions for ML could be done using this method. Especially as we approach the node size limit, perhaps dealing with fuzzy analog will become more valuable.
Analog pid controllers: https://www.youtube.com/watch?v=Ps9iD738rUg
Soviet IR tracking missile heads too. Stumbled upon one on ebay once, was surprised the control system was analog. Not sure which one it was and I'm very surprised to find a Raytheon AIM 9 Sidewinder missile kit there: https://www.ebay.com/itm/273992271867
According to this Table on wikipedia, it's possible to use electron charge (instead of 'spin') to do Quantum Logic with Qubits.
How is that doing quantum logical computations with electron charge different from from what e.g. Cirq or Tequila do (optionally with simulated noise to simulate the Quantum Computer Engineering hardware)?
FWIU, analog and digital component qualities are not within sufficient tolerance to do precise analog computation? (Though that's probably debatable for certain applications at least, but not for general purpose computing architectures?) That is, while you can build adders out of voltage potentials quantified more specifically than 0 or 1, you might shouldn't without sufficient component spec tolerances because noise and thus error.
IMHO, Turing Tumble and Spintronics are neat analog computer games.
(Are Qubits, by Church-Turing-Deutsch, sufficient to; 1) simuluate arbitrary quantum physical systems; or 2) run quantum logical simulations as circuits with low error due to high coherence? https://en.wikipedia.org/wiki/Church%E2%80%93Turing%E2%80%93... )
