Google is betting on digital quantum computers.
There are, however, analog quantum computers, e.g. by Pasqal, which hope to capitalize on this to optimize AI-like high dimension optimization problems.
Why do quantum computers need to be analog to be applied to such problems?
But aren't qubits sort of analog? I thought the bits have figurative angles of rotation or something continuous that would resonate together and/or cancel out like neurons in fully-connected parts of neural nets that would be read out at the end of the pipeline.