`adapt.system_methods`

Module Contents

Classes

class adapt.system_methods.system_data(H, ref, N_e, N_qubits)[source]

recursive_qubit_op(op, qubit_index)[source]

choose_next(set_of_lists, cur_list, k)[source]

choose_paulis(paulis, sub_list, k)[source]

tang_pool()[source]

Pool from the qubit-ADAPT paper

Returns:: jw_pool, fermi_ops – List of sparse matrix operators and their verbal representations respectively
Return type:: list

full_qubit_pool()[source]

k_qubit_pool(k)[source]

kup_pool()[source]

afi_pool()[source]

grimsley_pool()[source]

uccs_then_d_pool(approach='vanilla')[source]

pair_pool()[source]: UPCCGSD-based pool constructor :returns: jw_pool, v_pool – sparse matrices and verbal representations of operators respectively :rtype: list

uccsd_pool(approach='vanilla')[source]

UCCSD-based pool constructor

Parameters:: approach (string) – ‘vanilla’, ‘spin_complement’, or ‘spin_adapt’
Returns:: jw_pool, v_pool – sparse matrices and verbal representations of operators respectively
Return type:: list

sc_uccsd_pool()[source]

raw_uccsd_pool(spin_adapt=False)[source]

qeb_pool()[source]: n_orb is number of spatial orbitals assuming that spin orbitals are labelled 0a,0b,1a,1b,2a,2b,3a,3b,…. -> 0,1,2,3,…

vccsd_pool(spin_adapt=False)[source]

uccgsd_pool(spin_adapt=False)[source]

UCCGSD-based pool constructor

Parameters:: spin_adapt (Bool) – Do spin-adaptation of the pool?
Returns:: jw_pool, v_pool – sparse matrices and verbal representations of operators respectively
Return type:: list

uccgs_pool(spin_adapt=True)[source]

uccd_pool(spin_adapt=True)[source]