A Eureka machine that thinks like nature and explores what AI cannot

> [...] quantum-inspired computing built on CMOS technology [...]

So at the heart of the solution is some FPGA that does something (close to?) quantum computing and that helps exploring exponential search space in somewhat feasible way? Is the gist that we might have stumbled upon a practical application of QC? And if so, what's the secret sauce if not lots of qbits? A new algorithm? Is it just hype?

Can someone that understands quantum computing please comment?

	▲	swiftcoder a few seconds ago \| parent \| next [-]
		This is not quantum computing - "quantum-inspired" could just as well be used to describe a process like simulated annealing. The problem they are solving here is a problem often used as a benchmark for quantum computing, but the approach is purely classical.
	▲	wmertens 2 minutes ago \| parent \| prev \| next [-]
		No it's just analogies. It's a normal FPGA.
	▲	pipo234 10 minutes ago \| parent \| prev [-]
		> Can someone that understands quantum computing please comment? ... Crickets ...

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jumploops 8 minutes ago | parent | prev | next [-]

Higher-order neuromorphic Ising machines—autoencoders and Fowler-Nordheim annealers are all you need for scalability[0]

[0]https://www.nature.com/articles/s41467-026-71937-4

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me551ah 8 minutes ago | parent | prev [-]

This isn’t even a research paper.

Is there some code or results from experiments where we can see the speed up?

	▲	jumploops 4 minutes ago \| parent [-]
		Paper is linked on the page (doi.org link redirects to Nature), code here[0] [0]https://github.com/aimlab-wustl/NeuroSA-HO