`pygsti.evotypes.densitymx_slow.opreps`

Operation representation classes for the densitymx_slow evolution type.

Module Contents

Classes

`OpRep`	The base class for all operation representation classes
`OpRepDenseSuperop`	The base class for all operation representation classes
`OpRepDenseUnitary`	The base class for all operation representation classes
`OpRepSparse`	The base class for all operation representation classes
`OpRepStandard`	The base class for all operation representation classes
`OpRepKraus`	The base class for all operation representation classes
`OpRepRandomUnitary`	The base class for all operation representation classes
`OpRepStochastic`	The base class for all operation representation classes
`OpRepComposed`	The base class for all operation representation classes
`OpRepSum`	The base class for all operation representation classes
`OpRepEmbedded`	The base class for all operation representation classes
`OpRepExpErrorgen`	The base class for all operation representation classes
`OpRepIdentityPlusErrorgen`	The base class for all operation representation classes
`OpRepRepeated`	The base class for all operation representation classes

class pygsti.evotypes.densitymx_slow.opreps.OpRep(state_space)

Bases: pygsti.evotypes.basereps.OpRep

The base class for all operation representation classes

property dim

abstract acton(state)

abstract adjoint_acton(state)

aslinearoperator()

class pygsti.evotypes.densitymx_slow.opreps.OpRepDenseSuperop(mx, basis, state_space)

Bases: OpRep

The base class for all operation representation classes

base_has_changed()

to_dense(on_space)

acton(state)

adjoint_acton(state)

copy()

class pygsti.evotypes.densitymx_slow.opreps.OpRepDenseUnitary(mx, basis, state_space)

Bases: OpRep

The base class for all operation representation classes

base_has_changed()

to_dense(on_space)

to_dense_superop()

acton(state)

adjoint_acton(state)

copy()

class pygsti.evotypes.densitymx_slow.opreps.OpRepSparse(a_data, a_indices, a_indptr, state_space)

Bases: OpRep

The base class for all operation representation classes

property data

property indices

property indptr

acton(state): Act this gate map on an input state

adjoint_acton(state): Act the adjoint of this operation matrix on an input state

to_dense(on_space)

class pygsti.evotypes.densitymx_slow.opreps.OpRepStandard(name, basis, state_space)

Bases: OpRepDenseSuperop

The base class for all operation representation classes

class pygsti.evotypes.densitymx_slow.opreps.OpRepKraus(basis, kraus_reps, state_space)

Bases: OpRep

The base class for all operation representation classes

acton(state)

adjoint_acton(state)

copy()

to_dense(on_space)

class pygsti.evotypes.densitymx_slow.opreps.OpRepRandomUnitary(basis, unitary_rates, unitary_reps, seed_or_state, state_space)

Bases: OpRep

The base class for all operation representation classes

acton(state)

adjoint_acton(state)

copy()

update_unitary_rates(rates)

to_dense(on_space)

class pygsti.evotypes.densitymx_slow.opreps.OpRepStochastic(stochastic_basis, basis, initial_rates, seed_or_state, state_space)

Bases: OpRepRandomUnitary

The base class for all operation representation classes

update_rates(rates)

class pygsti.evotypes.densitymx_slow.opreps.OpRepComposed(factor_op_reps, state_space)

Bases: OpRep

The base class for all operation representation classes

acton(state): Act this gate map on an input state

adjoint_acton(state): Act the adjoint of this operation matrix on an input state

reinit_factor_op_reps(factor_reps)

class pygsti.evotypes.densitymx_slow.opreps.OpRepSum(factor_reps, state_space)

Bases: OpRep

The base class for all operation representation classes

reinit_factor_reps(factor_reps)

acton(state): Act this gate map on an input state

adjoint_acton(state): Act the adjoint of this operation matrix on an input state

class pygsti.evotypes.densitymx_slow.opreps.OpRepEmbedded(state_space, target_labels, embedded_rep)

Bases: OpRep

The base class for all operation representation classes

acton(state)

adjoint_acton(state): Act the adjoint of this gate map on an input state

class pygsti.evotypes.densitymx_slow.opreps.OpRepExpErrorgen(errorgen_rep)

Bases: OpRep

The base class for all operation representation classes

errgenrep_has_changed(onenorm_upperbound)

set_exp_params(mu, eta, m_star, s)

exp_params()

acton(state): Act this gate map on an input state

abstract adjoint_acton(state): Act the adjoint of this operation matrix on an input state

class pygsti.evotypes.densitymx_slow.opreps.OpRepIdentityPlusErrorgen(errorgen_rep)

Bases: OpRep

The base class for all operation representation classes

acton(state): Act this gate map on an input state

abstract adjoint_acton(state): Act the adjoint of this operation matrix on an input state

class pygsti.evotypes.densitymx_slow.opreps.OpRepRepeated(rep_to_repeat, num_repetitions, state_space)

Bases: OpRep

The base class for all operation representation classes

acton(state): Act this gate map on an input state

adjoint_acton(state): Act the adjoint of this operation matrix on an input state

pygsti.evotypes.densitymx_slow.opreps

Module Contents

Classes

`pygsti.evotypes.densitymx_slow.opreps`