pygsti.modelmembers.term.RankOneDirectEffectTerm

class RankOneDirectEffectTerm(rep, evotype)

Bases: RankOneEffectTerm, _HasNumericalCoefficient

A POVM effect 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_effect, post_effect, ...)	Creates a RankOneEffectTerm 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

coeff

The term's coefficient (float or complex).

compose(all_terms)

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

Parameters:

all_terms (list) – List of the terms to compose.

Return type:

RankOneTerm

copy()

Copies this term.

Return type:

RankOneTerm

classmethod create_from(coeff, pre_effect, post_effect, evotype, state_space)

Creates a RankOneEffectTerm using natural arguments.

Parameters:

• coeff (Polynomial or complex) – The term’s coefficient.

• pre_effect (POVMEffect or EffectRep or numpy.ndarray) – The ‘bra’ (left-side) effect of the operator.

• post_effect (POVMEffect or EffectRep or numpy.ndarray) – The ‘ket’ (right-side) effect of the operator

• evotype (Evotype or str) – The evolution type

• state_space (StateSpace or str) – The state space of this term.

Return type:

RankOneEffectTerm

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:

RankOneEffectTerm

torep()

Access to the underlying representation object.

property coeff

The term’s coefficient (float or complex).