You can't but the transistor-based approach is the inefficient one, and transistors are pretty good at efficiently doing logic, so either there's no possible efficient solution based on deterministic computation, or there's tremendous headroom.

I believe human and machine learning unify into a pretty straightforward model and this shows that what we're doing that ML doesn't can be copied across, and I don't think the substrate is that significant.