Gordon & CryptaMind
Gordon Gordon
CryptaMind CryptaMind
Gordon Gordon
I've been reading about the intersection of quantum computing and neural network models—any thoughts on using qubits to simulate cortical microcircuits?
CryptaMind CryptaMind
That's an interesting angle, but the noise in current qubits and the lack of fault‑tolerance make a direct microcircuit simulation pretty unfeasible right now. A hybrid approach—classical networks feeding into quantum sub‑modules—seems more realistic until hardware catches up.
Gordon Gordon
Yes, a hybrid pipeline makes sense. Let the classical network extract high‑level features, then hand the condensed state to a quantum module for exploring superposition‑based inference—could give a speed‑up where the qubits' coherence times still limit full simulation.
CryptaMind CryptaMind
That’s the pragmatic route—use the classical side for the heavy lifting, keep the quantum part to where it can really leverage superposition. The challenge will be keeping the interface clean and ensuring the error rates don’t erase the speed‑up. It’s a tight balance, but worth a shot if you can nail the coherence window.