I am starting to see a lot of classical quantitative problems such as linear regression being represented in quantum math, which suggests that almost anything based on frequentist statistics could be upgraded to the fancy 'braket' notation found in quantum math, in the same way that Bayesian interpretations of classical math models are currently abundant on the side line.
Ignoring the fact that anyone without a Masters in physics does not have the background to grasp or make a career out of quantum programming applied to their own discipline, at least what fundamental tenets, principles, and approaches, beyond just the qubit and circuitry theory, would help with the practical translation of existing classical math and Python code to their quantum counterparts? And is there a foreseeable demand in this sort of work, assuming that the quantumification of maths and code for some antiquated problem specific to some discipline at least generates a small speed-up over classical formulas and code?
Any holistic sources that discuss the impending migration from the classical to quantum paradigm math-wise would be great as well.