Question

Is it possible to create a ‘Transverse Field Ising Spin’-compatible Super Hamiltonian?

I want to apply the Super Hamiltonian to this paper: https://arxiv.org/abs/1612.05695

Comments

It seems like that paper has much more to do with quantizing classical mechanical systems than lattice Hamiltonian models like Ising. What do you have in mind?

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It concerned Artificial General Intelligence.

Based on talks with physicists elsewhere, I had come to somewhat resolve the issue.

This is the outcome, based on this.

See a clear overview of the outcome here.

Edited to replace academia links with researchgate links, I deleted my academia profile on October 1'st, due to too many ads there.

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There are probably several ways to make that quantum Boltzmann machine supersymmetric. But it will take a while to see if that can be done while implementing your idea that x = input, theta = learned representations.

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The Hamiltonian of the transverse Ising model shows up in N=1 SQCD as something like a matrix ("V" in the paper) describing how squark combinations mix. But that's ridiculously abstract for this purpose, there has to be a much simpler way.

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There is a shortcut in the footnote. Deep learning is made by robots with algorithms of robots even if they hope to mime a human. Consciousness is a concept far from learning and it asks other questions.

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See this paper on Super Hamiltonian: https://arxiv.org/abs/hep-th/0506170

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Yes Porter, it is perhaps unavoidable that there are probably many ways to attain that degree of supersymmetry, as Supermathematics is quite broad.

Unfortunately, my knowledge is very limited, as I lack at minimum a Bachelors physics degree, or any training in physics, so the method outlined in the super Hamiltonian paper above, was the easiest entry point I could garner of based on evidence observed thus far.