API Documentation

This section is generated from the docstrings in the QCANT package.

QCANT.__version__	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
QCANT.adapt_vqe(symbols, geometry, *, adapt_it)	Run an ADAPT-style VQE loop for a user-specified molecular geometry.
QCANT.adapt_vqe_qulacs(symbols, geometry, *, ...)	Qulacs-backed analytic ADAPT-VQE with threaded commutator scoring.
QCANT.gcim(symbols, geometry, *, adapt_it[, ...])	Run a GCIM loop with ADAPT-style inputs and outputs.
QCANT.cvqe	Cyclic VQE utilities.
QCANT.cvqe_qulacs(symbols, geometry, *, adapt_it)	Qulacs-backed exact-state CVQE.
QCANT.tepid_adapt(symbols, geometry, *, adapt_it)	Run the ancilla-free TEPID-ADAPT workflow on a molecule.
QCANT.tepid_boltzmann_weights(energies, *[, ...])	Return normalized Boltzmann weights from a list of energies.
QCANT.qrte(symbols, geometry, *, delta_t, ...)	Run a quantum real-time evolution loop and return energies from the generated basis.
QCANT.qrte_qulacs(symbols, geometry, *, ...)	Qulacs-backed QRTE using exact sparse or Trotterized evolution.
QCANT.qrte_pmte_qulacs(symbols, geometry, *, ...)	Qulacs-backed symmetric QRTE basis growth.
QCANT.exact_krylov(symbols, geometry, *, ...)	Generate a Krylov basis and diagonalize the Hamiltonian in that basis.
QCANT.qkud(symbols, geometry, *, n_steps, ...)	Generate a QKUD Krylov basis and diagonalize the Hamiltonian in that basis.
QCANT.qkud_qulacs(symbols, geometry, *, ...)	Qulacs-backed QKUD using exact sparse or Trotterized real-time updates.
QCANT.qscEOM(symbols, geometry, ...[, ...])	Compute qscEOM eigenvalues from an ansatz state.
QCANT.canvas([with_attribution])	Return a short quote used as a template smoke-test.