Thermodynamic networks using non-equilibrium steady states achieve universal function approximation when engineered with negative differential conductance, as shown in quantum dot and enzymatic examples for sine fitting and MNIST classification.
We now test whether the same prin- ciple can be scaled up to realistic problems
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Thermodynamic Networks: Harnessing Non-Equilibrium Steady States for Computation
Thermodynamic networks using non-equilibrium steady states achieve universal function approximation when engineered with negative differential conductance, as shown in quantum dot and enzymatic examples for sine fitting and MNIST classification.