Physical quantum resource estimates

[max-radin]

In order to be able to account for runtime in performance analysis of QPE, we need to estimate it and include it in solution JSON files. To address this we should update our QPE resource estimation script to estimate runtimes for some reasonable hardware architecture.

Note that originally we were planning to use benchq's footprint analysis capabilities. However given that benchq is not compatible with the versions of pyliqtr that have double factorization, we could consider using another tool such as one of qualtran's physical cost models.

[max-radin]

Branch physical-resource-estimates updates the LRE script to include physical estimates using qualtran. However it's not very useful at the moment because even for planted solution 1 (14 orbitals), it fails to find factories that satisfy the required success rate.

[max-radin]

Addressed by #66.