# Three-Mode Solvation Comparison The three-mode comparison estimates how much the solvent environment changes the electronic correlation contribution. It is more expensive than the fixed H2 smoke test and should be run after `h2_mc_solvation.py`. ## Run The Script ```bash uv run python examples/h2_three_mode_comparison.py ``` ## Modes | Mode | Formula | Role | | --- | --- | --- | | `fixed` | `E_QPE(H_vac) + E_MM` | Fast baseline; ignores solvent changes in correlation | | `hf_corrected` | `E_HF(R) + E_MM` | HF-level MM embedding with interval QPE diagnostics | | `dynamic` | `E_QPE(H_eff) + E_MM` | Runtime MM-embedded QPE coefficients | The comparison delegates analysis to `q2m3.solvation.analysis.run_mode_comparison()`. ## Compile-Once Idea ```{mermaid} flowchart LR accTitle: Three Mode Execution accDescr: Fixed and dynamic modes compile reusable QPE structures while the MC loop updates solvent coordinates and energies. mc["MC solvent states"] fixed["fixed
vacuum Hamiltonian"] hf["hf_corrected
HF energy path"] dynamic["dynamic
runtime coefficients"] analysis["mode comparison
delta_corr-pol"] mc --> fixed mc --> hf mc --> dynamic fixed --> analysis hf --> analysis dynamic --> analysis ``` Dynamic mode uses runtime-traceable Hamiltonian coefficients so that the circuit structure can be compiled once while coefficients change across MC steps. ## Reading The Result The key scientific quantity is `delta_corr-pol`, the correlation-polarization coupling term. For small H2 runs, it is a diagnostic of whether the QPE energy changes materially when the MM embedding enters the Hamiltonian rather than only the classical correction. ## Optional H3O+ Diagnostics H3O+ workflows use a larger active space and many more Hamiltonian terms. The public H3O+ scripts are useful for ionic-solvation diagnostics, but they are not the default tutorial path. Use a 16 GB+ RAM machine for `h3o_mc_solvation.py` and a 30 GB+ RAM machine for 8-bit or dynamic Trotter diagnostics.