Quantum chemistry isn't magic, it's been around since the sixties, we understand pretty well the resources required for calculations. I happen to have a PhD in it too. AFAIK on quantum computers there are only two algorithms that are currently considered near-term feasible for this problem (VQE, QPE) and they both require a number of qubits = 2 x number of orbitals N and a number of operations between N^2 and N^4.

It's true that there could be neat quantum computing shortcuts that maintain calculation accuracy and that aren't doable on classical computers... but then we could also imagine that some neat Quantum Chemistry trick might make classical computers much better too. (We actually have a bunch of these already but they are approximative: DFT, machine learning, pseudo potentials etc.)

Thank you for the response. i'll need to read more into VQE, QPE. Still, I'm hopeful that geometric/energy minimization methods like invariant point attention in alphafold and other geometric deep learning findings will translate into quantum chemistry someday