Comment by dheera

It's actually not that difficult to pick up quantum mechanics and quantum computing if you have a solid foundation in linear algebra. QC really just reduces down to "applied linear algebra on crack".

If you're in AI, you might be pleased to know that the probability distribution of a particle in its various energy states is related to the softmax of the negative values of those energies times temperature, which is where the concept of LLM "temperature" comes from. If you have linear algebra background, those energies are the eigenvalues of a Hamiltonian. Physics is actually quite beautiful.

Getting into industries is another issue though, it seems every company favors credentials over learning ability these days. If you haven't published 1500 papers on the subject you're automatically rejected.