pygsti.modelmembers.term.RankOneOpTerm

class RankOneOpTerm(rep, evotype)

Bases: RankOneTerm, _NoMagnitude

An operation term.

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_op, post_op, evotype, ...)	Creates a RankOneOpTerm 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.

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_op, post_op, evotype, state_space)

Creates a RankOneOpTerm using natural arguments.

Parameters:

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

• pre_op (LinearOperator or OpRep or numpy.ndarray) – The left-side operator, i.e. A in rho => A rho B^dag.

• post_op (LinearOperator or OpRep or numpy.ndarray) – The right-side operator, i.e. B in rho => A rho B^dag.

• evotype (Evotype or str) – The evolution type

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

Return type:

RankOneOpTerm

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:

RankOneOpTerm

torep()

Access to the underlying representation object.