pygsti.modelmembers.term.RankOneDirectPrepTerm

pygsti.modelmembers.term.RankOneDirectPrepTerm#

class RankOneDirectPrepTerm(rep, evotype)#

Bases: RankOnePrepTerm, _HasNumericalCoefficient

A state preparation term with numerical coefficient (and no magnitude tracking).

Methods

`__init__`(rep, evotype)
`compose`(all_terms)	Compose all_terms and set the composed term's magnitude to magnitude.
`copy`()	Copies this term.
`create_from`(coeff, pre_state, post_state, ...)	Creates a `RankOnePrepTerm` using natural arguments.
`embed`(state_space, target_labels)	Embeds this term's action as a part of a larger state space.
`torep`()	Access to the underlying representation object.

Attributes

The term's coefficient (float or complex).

compose(all_terms)#

Compose all_terms and set the composed term’s magnitude to magnitude.

copy()#

Copies this term.

classmethod create_from(coeff, pre_state, post_state, evotype, state_space)#

Creates a RankOnePrepTerm using natural arguments.

Parameters:

coeff (Polynomial or complex) – The term’s coefficient.
pre_state (State or StateRep or numpy.ndarray) – The ‘ket’ (left-side) state of the operator.
post_state (State or StateRep or numpy.ndarray) – The ‘bra’ (right-side) state of the operator
evotype (Evotype or str) – The evolution type
state_space (StateSpace or str) – The state space of this term.

Return type:

RankOnePrepTerm

embed(state_space, target_labels)#

Embeds this term’s action as a part of a larger state space.

Parameters:

state_space (StateSpace) – The full state space this term’s action will be embedded into.
target_labels (tuple) – A tuple of the target labels.

Return type:

RankOnePrepTerm