Blueqat VQE minimizer using PFN's Optuna library

blueqat_optuna_minimizer.py

import optuna

def get_optuna_minimizer(n_trials, study=None):
    if study is None:
        study = optuna.create_study()
    def minimizer(objective, n_params):
        def optuna_objective(trial):
            params = [trial.suggest_uniform(f'params[{i}]', 0.0, 1.0) for i in range(n_params)]
            return objective(params)
        study.optimize(optuna_objective, n_trials=n_trials)
        return [study.best_params[k] for k in sorted(study.best_params)]
    return minimizer