I don’t usually get involved in responding to people on X, but I owe you this since you’re the guy who introduced me to crypto a couple of years ago so thank you :)
I believe the discrepancy here between Quantum Computing and Quantum computers is in the terminology itself. It's like the idea of producing a supercar (Quantum Computer) and modifying a regular car into a supercar (Quantum Computing).
Dynex utilizes the VRAM of Classical GPUs to emulate superposition entanglements through memristor motions which gives it the properties of quantum computational speed and efficiency (so technically it's “digital twinning” of the quantum computing inside classical VRAM) and the “quantum” word comes from the state of those emulated memristors (superposition) and interactions between themselves [entanglements] (linear/quadratic interactions) [I’m trying to stay away from technical terminologies as much as possible]
The same goes for “neuromorphic” (which is technically a biological terminology of neurons and perceptions in our body/brain) where the nervous system (aka blockchain) connects the whole neurons (miners [GPUs]) together and each group of neurons receives a specific job from the brain [Dynex distributes jobs to pools (MALLOBS)].
“Machine Learning” simply is a mimicry of human thinking and recognizing patterns [where it is technically a CPU/GPU calculating the weights of the neurons in each layer by computing the activation functions] and so on.
I hope this helps Andy :)
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