QCANT.adapt_vqe_qulacs

QCANT.adapt_vqe_qulacs(symbols: Sequence[str], geometry, *, adapt_it: int, basis: str = 'sto-6g', charge: int = 0, spin: int = 0, active_electrons: int, active_orbitals: int, hamiltonian_cutoff: float = 1e-20, hamiltonian_source: str = 'casci', pool_type: str = 'fermionic_sd', pool_sample_size: int | None = None, pool_seed: int | None = None, parallel_gradients: bool = True, max_workers: int | None = None, gradient_chunk_size: int | None = None, optimizer_method: str = 'BFGS', optimizer_maxiter: int = 100000000, return_history: bool = False, iteration_callback: Callable[[Mapping[str, object]], None] | None = None)

Qulacs-backed analytic ADAPT-VQE with threaded commutator scoring.