`pygsti.models.gaugegroup`

GaugeGroup and derived objects, used primarily in gauge optimization

Module Contents

Classes

`GaugeGroup`	A parameterized set (ideally a group) of gauge transformations.
`GaugeGroupElement`	The element of a `GaugeGroup`, which represents a single gauge transformation.
`InverseGaugeGroupElement`	A gauge group element that represents the inverse action of another element.
`OpGaugeGroup`	A gauge group based on the parameterization of a single LinearOperator.
`OpGaugeGroupWithBasis`	A gauge group based on the parameterization of a single LinearOperator.
`OpGaugeGroupElement`	The element type for OpGaugeGroup-derived gauge groups
`FullGaugeGroup`	A fully-parameterized gauge group.
`FullGaugeGroupElement`	Element of a `FullGaugeGroup`
`TPGaugeGroup`	A gauge group spanning all trace-preserving (TP) gauge transformations.
`TPGaugeGroupElement`	Element of a `TPGaugeGroup`
`DiagGaugeGroup`	A gauge group consisting of just diagonal gauge-transform matrices.
`DiagGaugeGroupElement`	Element of a `DiagGaugeGroup`
`TPDiagGaugeGroup`	A gauge group consisting of just trace-preserving (TP) diagonal gauge-transform matrices.
`TPDiagGaugeGroupElement`	Element of a `TPDiagGaugeGroup`
`UnitaryGaugeGroupElement`	Element of a `UnitaryGaugeGroup`
`UnitaryGaugeGroup`	A gauge group consisting of unitary gauge-transform matrices.
`SpamGaugeGroup`	Gauge transformations which scale the SPAM and non-unital portions of the gates in a gate set.
`SpamGaugeGroupElement`	Element of a `SpamGaugeGroup`
`TPSpamGaugeGroup`	Similar to `SpamGaugeGroup` except with TP constrains.
`TPSpamGaugeGroupElement`	Element of `TPSpamGaugeGroup`
`TrivialGaugeGroup`	A trivial gauge group with no degrees of freedom.
`TrivialGaugeGroupElement`	Element of `TrivialGaugeGroup`
`DirectSumUnitaryGroup`	A subgroup of the unitary group on a Hilbert space H, where H has a direct sum structure.
`DirectSumUnitaryGroupElement`	The element of a `GaugeGroup`, which represents a single gauge transformation.

class pygsti.models.gaugegroup.GaugeGroup(name: str)

Bases: pygsti.baseobjs.nicelyserializable.NicelySerializable

A parameterized set (ideally a group) of gauge transformations.

Specifies the “optimization space” explored by gauge optimization algorithms. This base class is used to define the common interface of all types of gauge “groups” (even though they need not be groups in the mathematical sense).

Parameters

namestr: A name for this group - used for reporting what type of gauge optimization was performed.

Creates a new gauge group object

Parameters

namestr: A name for this group - used for reporting what type of gauge optimization was performed.

property num_params: Return the number of parameters (degrees of freedom) of this gauge group.

Returns

int

property initial_params

Return a good (or standard) starting parameter vector, used to initialize a gauge optimization.

Returns

numpy.ndarray: A 1D array of length num_params().

name

compute_element(param_vec: numpy.ndarray) → GaugeGroupElement

Retrieve the element of this group corresponding to param_vec

Parameters

param_vecnumpy.ndarray: A 1D array of length num_params().

Returns

GaugeGroupElement

class pygsti.models.gaugegroup.GaugeGroupElement

Bases: pygsti.baseobjs.nicelyserializable.NicelySerializable

The element of a GaugeGroup, which represents a single gauge transformation.

Creates a new GaugeGroupElement

property transform_matrix: numpy.ndarray | None: The gauge-transform matrix.

Returns

numpy.ndarray

property transform_matrix_inverse: numpy.ndarray | None: The inverse of the gauge-transform matrix.

Returns

numpy.ndarray

property num_params: int

Return the number of parameters of this gauge group element.

(This is equivalent to the number of parameters of the parent gauge group.)

Returns

int

deriv_wrt_params(wrt_filter: numpy.ndarray | list | None = None) → numpy.ndarray | None

Computes the derivative of the gauge group at this element.

That is, the derivative of a general element with respect to the gauge group’s parameters, evaluated at this element.

Parameters

wrt_filterlist or numpy.ndarray, optional: Indices of the gauge group parameters to differentiate with respect to. If None, differentiation is performed with respect to all the group’s parameters.

Returns

numpy.ndarray

to_vector() → numpy.ndarray: Get the parameter vector corresponding to this transform.

Returns

numpy.ndarray

from_vector(v: numpy.ndarray) → None

Reinitialize this GaugeGroupElement using the the parameter vector v.

Parameters

vnumpy.ndarray: A 1D array of length num_params()

Returns

None

inverse() → InverseGaugeGroupElement: Creates a gauge group element that performs the inverse of this element.

Returns

InverseGaugeGroupElement

class pygsti.models.gaugegroup.InverseGaugeGroupElement(gauge_group_el: GaugeGroupElement)

Bases: GaugeGroupElement

A gauge group element that represents the inverse action of another element.

Parameters

gauge_group_elGaugeGroupElement: The element to invert.

Creates a new GaugeGroupElement

property transform_matrix: numpy.ndarray: The gauge-transform matrix.

Returns

numpy.ndarray

property transform_matrix_inverse: numpy.ndarray: The inverse of the gauge-transform matrix.

Returns

numpy.ndarray

property num_params: int

Return the number of parameters of this gauge group element.

(This is equivalent to the number of parameters of the parent gauge group.)

Returns

int

inverse_element

deriv_wrt_params(wrt_filter=None) → numpy.ndarray

Computes the derivative of the gauge group at this element.

That is, the derivative of a general element with respect to the gauge group’s parameters, evaluated at this element.

Parameters

wrt_filterlist or numpy.ndarray, optional: Indices of the gauge group parameters to differentiate with respect to. If None, differentiation is performed with respect to all the group’s parameters.

Returns

numpy.ndarray

to_vector() → numpy.ndarray: Get the parameter vector corresponding to this transform.

Returns

numpy.ndarray

from_vector(v: numpy.ndarray) → None

Reinitialize this GaugeGroupElement using the the parameter vector v.

Parameters

vnumpy.ndarray: A 1D array of length num_params()

Returns

None

inverse() → GaugeGroupElement: Creates a gauge group element that performs the inverse of this element.

Returns

GaugeGroupElement

class pygsti.models.gaugegroup.OpGaugeGroup(operation: pygsti.modelmembers.operations.LinearOperator, elementcls, name: str)

Bases: GaugeGroup

A gauge group based on the parameterization of a single LinearOperator.

The parameterization of this linear operator is used to parameterize the gauge-transform matrix. This class is used as the base class for sevearl other of gauge group classes.

Parameters

operationLinearOperator: The LinearOperator to base this Gauge group on.
elementclsclass: The element class to use when implementing the element method.
namestr: A name for this group - used for reporting what type of gauge optimization was performed.

Create a new OpGaugeGroup.

Parameters

operationLinearOperator: The LinearOperator to base this Gauge group on.
elementclsclass: The element class to use when implementing the compute_element method.
namestr: A name for this group - used for reporting what type of gauge optimization was performed.

property num_params: int: Return the number of parameters (degrees of freedom) of this gauge group.

Returns

int

property initial_params: numpy.ndarray

Return a good (or standard) starting parameter vector, used to initialize a gauge optimization.

Returns

numpy.ndarray: A 1D array of length num_params().

element

compute_element(param_vec: numpy.ndarray)

Retrieve the element of this group corresponding to param_vec

Parameters

param_vecnumpy.ndarray: A 1D array of length num_params().

Returns

GaugeGroupElement

class pygsti.models.gaugegroup.OpGaugeGroupWithBasis(operation: pygsti.modelmembers.operations.LinearOperator, elementcls, name: str, basis)

Bases: OpGaugeGroup

A gauge group based on the parameterization of a single LinearOperator.

The parameterization of this linear operator is used to parameterize the gauge-transform matrix. This class is used as the base class for sevearl other of gauge group classes.

Parameters

operationLinearOperator: The LinearOperator to base this Gauge group on.
elementclsclass: The element class to use when implementing the element method.
namestr: A name for this group - used for reporting what type of gauge optimization was performed.

Create a new OpGaugeGroup.

Parameters

operationLinearOperator: The LinearOperator to base this Gauge group on.
elementclsclass: The element class to use when implementing the compute_element method.
namestr: A name for this group - used for reporting what type of gauge optimization was performed.

class pygsti.models.gaugegroup.OpGaugeGroupElement(operation: pygsti.modelmembers.operations.LinearOperator)

Bases: GaugeGroupElement

The element type for OpGaugeGroup-derived gauge groups

Parameters

operationLinearOperator: The operation to base this element on. It provides both parameterization information and the gauge transformation matrix itself.

Create a new element based on operation

Parameters

operationLinearOperator: The operation to base this element on. It provides both parameterization information and the gauge transformation matrix itself.

property operation

property transform_matrix: numpy.ndarray: The gauge-transform matrix.

Returns

numpy.ndarray

property transform_matrix_inverse: numpy.ndarray: The inverse of the gauge-transform matrix.

Returns

numpy.ndarray

property num_params: int: Return the number of parameters (degrees of freedom) of this element.

Returns

int

deriv_wrt_params(wrt_filter: list | numpy.ndarray | None = None) → numpy.ndarray

Computes the derivative of the gauge group at this element.

That is, the derivative of a general element with respect to the gauge group’s parameters, evaluated at this element.

Parameters

wrt_filterlist or numpy.ndarray, optional: Indices of the gauge group parameters to differentiate with respect to. If None, differentiation is performed with respect to all the group’s parameters.

Returns

numpy.ndarray

to_vector() → numpy.ndarray: Get the parameter vector corresponding to this transform.

Returns

numpy.ndarray

from_vector(v: numpy.ndarray) → None

Reinitialize this GaugeGroupElement using the the parameter vector v.

Parameters

vnumpy.ndarray: A 1D array of length num_params()

Returns

None

class pygsti.models.gaugegroup.FullGaugeGroup(state_space: pygsti.baseobjs.StateSpace, model_basis: pygsti.baseobjs.basis.Basis | str | None = 'pp', evotype: pygsti.evotypes.evotype.Evotype | str | None = 'default')

Bases: OpGaugeGroupWithBasis

A fully-parameterized gauge group.

Every element of the gauge transformation matrix is an independent parameter.

Parameters

state_spaceStateSpace

The state space for this gauge group. This is the state space that elements of the gauge group act on. This should be the same as mdl.state_space where mdl is a Model you want to gauge-transform.

model_basisBasis or str, optional

The basis used for the superoperators of the model that this gauge: group will act on.

evotypeEvotype or str, optional

The evolution type. The special value “default” is equivalent to specifying the value of pygsti.evotypes.Evotype.default_evotype.

Create a new OpGaugeGroup.

Parameters

operationLinearOperator: The LinearOperator to base this Gauge group on.
elementclsclass: The element class to use when implementing the compute_element method.
namestr: A name for this group - used for reporting what type of gauge optimization was performed.

class pygsti.models.gaugegroup.FullGaugeGroupElement(operation: pygsti.modelmembers.operations.LinearOperator)

Bases: OpGaugeGroupElement

Element of a FullGaugeGroup

Parameters

operationLinearOperator: The operation to base this element on. It provides both parameterization information and the gauge transformation matrix itself.

Creates a new gauge group element based on operation, which is assumed to have the correct parameterization.

class pygsti.models.gaugegroup.TPGaugeGroup(state_space: pygsti.baseobjs.StateSpace, model_basis: pygsti.baseobjs.basis.Basis | str | None = 'pp', evotype: pygsti.evotypes.evotype.Evotype | str | None = 'default')

Bases: OpGaugeGroupWithBasis

A gauge group spanning all trace-preserving (TP) gauge transformations.

Implemented as a gauge transformation matrix whose first row is locked as [1,0,0…0] and where every other element is an independent parameter.

Parameters

state_spaceStateSpace

The state space for this gauge group. This is the state space that elements of the gauge group act on. This should be the same as mdl.state_space where mdl is a Model you want to gauge-transform.

model_basisBasis or str, optional

The basis used for the superoperators of the model that this gauge: group will act on.

evotypeEvotype or str, optional

The evolution type. The special value “default” is equivalent to specifying the value of pygsti.evotypes.Evotype.default_evotype.

Create a new OpGaugeGroup.

Parameters

operationLinearOperator: The LinearOperator to base this Gauge group on.
elementclsclass: The element class to use when implementing the compute_element method.
namestr: A name for this group - used for reporting what type of gauge optimization was performed.

class pygsti.models.gaugegroup.TPGaugeGroupElement(operation: pygsti.modelmembers.operations.LinearOperator)

Bases: OpGaugeGroupElement

Element of a TPGaugeGroup

Parameters

operationLinearOperator: The operation to base this element on. It provides both parameterization information and the gauge transformation matrix itself.

Creates a new gauge group element based on operation, which is assumed to have the correct parameterization.

property transform_matrix_inverse: numpy.ndarray: The inverse of the gauge-transform matrix.

Returns

numpy.ndarray

class pygsti.models.gaugegroup.DiagGaugeGroup(state_space: pygsti.baseobjs.StateSpace, evotype: pygsti.evotypes.evotype.Evotype | str | None = 'default')

Bases: OpGaugeGroup

A gauge group consisting of just diagonal gauge-transform matrices.

(Each diagonal element is a separate parameter.)

Parameters

state_spaceStateSpace: The state space for this gauge group. This is the state space that elements of the gauge group act on. This should be the same as mdl.state_space where mdl is a Model you want to gauge-transform.
evotypeEvotype or str, optional: The evolution type. The special value “default” is equivalent to specifying the value of pygsti.evotypes.Evotype.default_evotype.

Create a new OpGaugeGroup.

Parameters

operationLinearOperator: The LinearOperator to base this Gauge group on.
elementclsclass: The element class to use when implementing the compute_element method.
namestr: A name for this group - used for reporting what type of gauge optimization was performed.

class pygsti.models.gaugegroup.DiagGaugeGroupElement(operation: pygsti.modelmembers.operations.LinearOperator)

Bases: OpGaugeGroupElement

Element of a DiagGaugeGroup

Parameters

operationLinearOperator: The operation to base this element on. It provides both parameterization information and the gauge transformation matrix itself.

Creates a new gauge group element based on operation, which is assumed to have the correct parameterization.

class pygsti.models.gaugegroup.TPDiagGaugeGroup(state_space: pygsti.baseobjs.StateSpace, evotype: pygsti.evotypes.evotype.Evotype | str | None = 'default')

Bases: TPGaugeGroup

A gauge group consisting of just trace-preserving (TP) diagonal gauge-transform matrices.

That is, where the first ([0,0]) element is fixed at 1.0, and each subsequent diagonal element is a separate parameter.

Parameters

state_spaceStateSpace: The state space for this gauge group. This is the state space that elements of the gauge group act on. This should be the same as mdl.state_space where mdl is a Model you want to gauge-transform.
evotypeEvotype or str, optional: The evolution type. The special value “default” is equivalent to specifying the value of pygsti.evotypes.Evotype.default_evotype.

Create a new gauge group with gauge-transform dimension dim, which should be the same as mdl.dim where mdl is a Model you might gauge-transform.

class pygsti.models.gaugegroup.TPDiagGaugeGroupElement(operation: pygsti.modelmembers.operations.LinearOperator)

Bases: TPGaugeGroupElement

Element of a TPDiagGaugeGroup

Parameters

operationLinearOperator: The operation to base this element on. It provides both parameterization information and the gauge transformation matrix itself.

Creates a new gauge group element based on operation, which is assumed to have the correct parameterization.

class pygsti.models.gaugegroup.UnitaryGaugeGroupElement(operation: pygsti.modelmembers.operations.LinearOperator)

Bases: OpGaugeGroupElement

Element of a UnitaryGaugeGroup

Parameters

operationLinearOperator: The operation to base this element on. It provides both parameterization information and the gauge transformation matrix itself.

Creates a new gauge group element based on operation, which is assumed to have the correct parameterization.

property operation: pygsti.modelmembers.operations.LinearOperator

class pygsti.models.gaugegroup.UnitaryGaugeGroup(state_space: pygsti.baseobjs.StateSpace, basis: pygsti.baseobjs.basis.Basis | str, evotype: pygsti.evotypes.evotype.Evotype | str | None = 'default')

Bases: OpGaugeGroupWithBasis

A gauge group consisting of unitary gauge-transform matrices.

This group includes those (superoperator) transformation matrices that correspond to unitary evolution. Parameterization is performed via a Lindblad parametrizaton with only Hamiltonian terms.

Parameters

state_spaceStateSpace: The state space for this gauge group. This is the state space that elements of the gauge group act on. This should be the same as mdl.state_space where mdl is a Model you want to gauge-transform.
basisBasis or {“pp”, “gm”, “std”}: The basis to use when parameterizing the Hamiltonian Lindblad terms.
evotypeEvotype or str, optional: The evolution type. The special value “default” is equivalent to specifying the value of pygsti.evotypes.Evotype.default_evotype.

Create a new OpGaugeGroup.

Parameters

operationLinearOperator: The LinearOperator to base this Gauge group on.
elementclsclass: The element class to use when implementing the compute_element method.
namestr: A name for this group - used for reporting what type of gauge optimization was performed.

state_space

compute_element(param_vec) → UnitaryGaugeGroupElement

Retrieve the element of this group corresponding to param_vec

Parameters

param_vecnumpy.ndarray: A 1D array of length num_params().

Returns

GaugeGroupElement

class pygsti.models.gaugegroup.SpamGaugeGroup(state_space: pygsti.baseobjs.StateSpace, evotype: pygsti.evotypes.evotype.Evotype | str | None = 'default')

Bases: OpGaugeGroup

Gauge transformations which scale the SPAM and non-unital portions of the gates in a gate set.

A 2-dimensional gauge group spanning transform matrices of the form ::

[ [ a 0 … 0] where a and b are the 2 parameters. These diagonal: [ 0 b … 0] transform matrices do not affect the SPAM operations [ . . … .] much more than typical near-unital and TP operations, and [ 0 0 … b] ] so we call this group of transformations the “SPAM gauge”.

Parameters

state_spaceStateSpace: The state space for this gauge group. This is the state space that elements of the gauge group act on. This should be the same as mdl.state_space where mdl is a Model you want to gauge-transform.
evotypeEvotype or str, optional: The evolution type. The special value “default” is equivalent to specifying the value of pygsti.evotypes.Evotype.default_evotype.

Create a new gauge group with gauge-transform dimension dim, which should be the same as mdl.dim where mdl is a Model you might gauge-transform.

class pygsti.models.gaugegroup.SpamGaugeGroupElement(operation: pygsti.modelmembers.operations.LinearOperator)

Bases: OpGaugeGroupElement

Element of a SpamGaugeGroup

Parameters

operationLinearOperator: The operation to base this element on. It provides both parameterization information and the gauge transformation matrix itself.

Creates a new gauge group element based on operation, which is assumed to have the correct parameterization.

class pygsti.models.gaugegroup.TPSpamGaugeGroup(state_space: pygsti.baseobjs.StateSpace, evotype: pygsti.evotypes.evotype.Evotype | str | None = 'default')

Bases: OpGaugeGroup

Similar to SpamGaugeGroup except with TP constrains.

This means the [0,0] element of each transform matrix is fixed at 1.0 (so all gauge transforms are trace preserving), leaving just a single degree of freedom.

Parameters

state_spaceStateSpace: The state space for this gauge group. This is the state space that elements of the gauge group act on. This should be the same as mdl.state_space where mdl is a Model you want to gauge-transform.
evotypeEvotype or str, optional: The evolution type. The special value “default” is equivalent to specifying the value of pygsti.evotypes.Evotype.default_evotype.

Create a new gauge group with gauge-transform dimension dim, which should be the same as mdl.dim where mdl is a Model you might gauge-transform.

class pygsti.models.gaugegroup.TPSpamGaugeGroupElement(operation: pygsti.modelmembers.operations.LinearOperator)

Bases: OpGaugeGroupElement

Element of TPSpamGaugeGroup

Parameters

operationLinearOperator: The operation to base this element on. It provides both parameterization information and the gauge transformation matrix itself.

Creates a new gauge group element based on operation, which is assumed to have the correct parameterization.

class pygsti.models.gaugegroup.TrivialGaugeGroup(state_space: pygsti.baseobjs.StateSpace)

Bases: GaugeGroup

A trivial gauge group with no degrees of freedom.

Useful for telling pyGSTi that you don’t want to do any gauge optimization within the framework common to the other gauge groups. Using a TrivialGaugeGroup instead of None in gauge optimization will prevent pyGSTi from wondering if you meant to not-gauge-optimize and displaying warning messages.

Parameters

state_spaceStateSpace: The state space for this gauge group. This is the state space that elements of the gauge group act on. This should be the same as mdl.state_space where mdl is a Model you want to gauge-transform.

Creates a new gauge group object

Parameters

namestr: A name for this group - used for reporting what type of gauge optimization was performed.

property num_params: int: Return the number of parameters (degrees of freedom) of this gauge group.

Returns

int

property initial_params: numpy.array

Return a good (or standard) starting parameter vector, used to initialize a gauge optimization.

Returns

numpy.ndarray: A 1D array of length num_params().

state_space

compute_element(param_vec: numpy.ndarray)

Retrieve the element of this group corresponding to param_vec

Parameters

param_vecnumpy.ndarray: A 1D array of length num_params().

Returns

TrivialGaugeGroupElement

class pygsti.models.gaugegroup.TrivialGaugeGroupElement(dim)

Bases: GaugeGroupElement

Element of TrivialGaugeGroup

Parameters

dimint: The Hilbert-Schmidt space dimension of the gauge group.

Creates a new trivial gauge group element of dimension dim. (so transform matrix is a dim by dim identity matrix).

property transform_matrix: numpy.ndarray: The gauge-transform matrix.

Returns

numpy.ndarray

property transform_matrix_inverse: numpy.ndarry: The inverse of the gauge-transform matrix.

Returns

numpy.ndarray

property num_params: int: Return the number of parameters (degrees of freedom) of this element.

Returns

int

deriv_wrt_params(wrt_filter=None)

Computes the derivative of the gauge group at this element.

That is, the derivative of a general element with respect to the gauge group’s parameters, evaluated at this element.

Parameters

wrt_filterlist or numpy.ndarray, optional: Indices of the gauge group parameters to differentiate with respect to. If None, differentiation is performed with respect to all the group’s parameters.

Returns

numpy.ndarray

to_vector() → numpy.ndarray: Get the parameter vector corresponding to this transform.

Returns

numpy.ndarray

from_vector(v: numpy.ndarray) → None

Reinitialize this GaugeGroupElement using the the parameter vector v.

Parameters

vnumpy.ndarray: A 1D array of length num_params()

Returns

None

class pygsti.models.gaugegroup.DirectSumUnitaryGroup(subgroups: Tuple[UnitaryGaugeGroup | TrivialGaugeGroup, Ellipsis], basis, name='Direct sum gauge group')

Bases: GaugeGroup

A subgroup of the unitary group on a Hilbert space H, where H has a direct sum structure.

Unitaries in this group are block diagonal and preserve the direct sum structure of H.

Creates a new gauge group object

Parameters

namestr: A name for this group - used for reporting what type of gauge optimization was performed.

property num_params: Return the number of parameters (degrees of freedom) of this gauge group.

Returns

int

property initial_params

Return a good (or standard) starting parameter vector, used to initialize a gauge optimization.

Returns

numpy.ndarray: A 1D array of length num_params().

basis

subgroups

compute_element(param_vec)

Retrieve the element of this group corresponding to param_vec

Parameters

param_vecnumpy.ndarray: A 1D array of length num_params().

Returns

GaugeGroupElement

class pygsti.models.gaugegroup.DirectSumUnitaryGroupElement(subelements: Tuple[UnitaryGaugeGroupElement | TrivialGaugeGroupElement, Ellipsis], basis)

Bases: GaugeGroupElement

The element of a GaugeGroup, which represents a single gauge transformation.

Creates a new GaugeGroupElement

property transform_matrix: The gauge-transform matrix.

Returns

numpy.ndarray

property transform_matrix_inverse: The inverse of the gauge-transform matrix.

Returns

numpy.ndarray

property num_params

Return the number of parameters of this gauge group element.

(This is equivalent to the number of parameters of the parent gauge group.)

Returns

int

subelements

basis

abstractmethod deriv_wrt_params(wrt_filter=None)

Computes the derivative of the gauge group at this element.

That is, the derivative of a general element with respect to the gauge group’s parameters, evaluated at this element.

Parameters

wrt_filterlist or numpy.ndarray, optional: Indices of the gauge group parameters to differentiate with respect to. If None, differentiation is performed with respect to all the group’s parameters.

Returns

numpy.ndarray

to_vector(): Get the parameter vector corresponding to this transform.

Returns

numpy.ndarray

from_vector(v)

Reinitialize this GaugeGroupElement using the the parameter vector v.

Parameters

vnumpy.ndarray: A 1D array of length num_params()

Returns

None

inverse(): Creates a gauge group element that performs the inverse of this element.

Returns

InverseGaugeGroupElement

pygsti.models.gaugegroup

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Parameters

Returns

Returns

Returns

Parameters

Returns

Returns

`pygsti.models.gaugegroup`