Comment by jlokier

The amplitudes aren't small in the 512-dimensional subspace where 256-qubit calculations take place.

2^256 states are comfortably distinct in that many dimensions with amplitude ~1. Their distinctness is entirely direction.

The obvious parallels to vector embeddings and high-dimensional tensor properties have some groups working out how to combine them in "quantum AI", and because that doesn't require the same precision (like trained neurel nets still work usefully after heavy quantization and noise), quantum AI might arrive before regular quantum computation, and might be feasible even if the latter is not.