`pygsti.evotypes.stabilizer_slow`

A pure python (and thus slower) stabilizer-state, evolution type.

Submodules

Package Contents

Classes

`EffectRep`	The base class for all POVM effect representation classes
`EffectRepComputational`	The base class for all POVM effect representation classes
`EffectRepComposed`	The base class for all POVM effect representation classes
`OpRep`	The base class for all operation representation classes
`OpRepClifford`	The base class for all operation representation classes
`OpRepStandard`	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
`OpRepRepeated`	The base class for all operation representation classes
`OpRepLindbladErrorgen`	The base class for all operation representation classes
`StateRep`	The base class for all state representation classes
`StateRepComputational`	The base class for all state representation classes
`StateRepComposed`	The base class for all state representation classes
`StateRepTensorProduct`	The base class for all state representation classes

Attributes

`minimal_space`
`SpaceT`

pygsti.evotypes.stabilizer_slow.minimal_space = "'Hilbert'"

pygsti.evotypes.stabilizer_slow.SpaceT

class pygsti.evotypes.stabilizer_slow.EffectRep(state_space)

Bases: pygsti.evotypes.basereps.EffectRep

The base class for all POVM effect representation classes

property nqubits

state_space

probability(state)

amplitude(state)

to_dense(on_space: pygsti.SpaceT)

class pygsti.evotypes.stabilizer_slow.EffectRepComputational(zvals, basis, state_space)

Bases: EffectRep

The base class for all POVM effect representation classes

zvals

basis

to_dense(on_space: pygsti.SpaceT, outvec=None)

class pygsti.evotypes.stabilizer_slow.EffectRepComposed(op_rep, effect_rep, op_id, state_space)

Bases: EffectRep

The base class for all POVM effect representation classes

op_rep

effect_rep

op_id

probability(state)

amplitude(state)

class pygsti.evotypes.stabilizer_slow.OpRep(state_space)

Bases: pygsti.evotypes.basereps.OpRep

The base class for all operation representation classes

property nqubits

state_space

abstractmethod acton(state)

abstractmethod adjoint_acton(state)

class pygsti.evotypes.stabilizer_slow.OpRepClifford(unitarymx, symplecticrep, basis, state_space)

Bases: OpRep

The base class for all operation representation classes

property unitary_dagger

unitary

basis

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.stabilizer_slow.OpRepStandard(name, basis, state_space)

Bases: OpRepClifford

The base class for all operation representation classes

name

class pygsti.evotypes.stabilizer_slow.OpRepComposed(factor_op_reps, state_space)

Bases: OpRep

The base class for all operation representation classes

factor_reps

reinit_factor_op_reps(factor_op_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.stabilizer_slow.OpRepSum(factor_reps, state_space)

Bases: OpRep

The base class for all operation representation classes

factor_reps

reinit_factor_reps(factor_reps)

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

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

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

Bases: OpRep

The base class for all operation representation classes

embedded_rep

qubits

acton(state)

adjoint_acton(state)

class pygsti.evotypes.stabilizer_slow.OpRepExpErrorgen(errorgen_rep)

Bases: OpRep

The base class for all operation representation classes

errorgen_rep

errgenrep_has_changed(onenorm_upperbound)

acton(state)

adjoint_acton(state)

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

Bases: OpRep

The base class for all operation representation classes

repeated_rep

num_repetitions

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.stabilizer_slow.OpRepLindbladErrorgen(lindblad_coefficient_blocks, state_space)

Bases: OpRep

The base class for all operation representation classes

Lterms = 'None'

Lterm_coeffs = 'None'

lindblad_coefficient_blocks

class pygsti.evotypes.stabilizer_slow.StateRep(smatrix, pvectors, amps, state_space)

Bases: pygsti.evotypes.basereps.StateRep

The base class for all state representation classes

property smatrix

property pvectors

property amps

property nqubits

state_space

sframe

actionable_staterep()

copy()

class pygsti.evotypes.stabilizer_slow.StateRepComputational(zvals, basis, state_space)

Bases: StateRep

The base class for all state representation classes

zvals

basis

class pygsti.evotypes.stabilizer_slow.StateRepComposed(state_rep, op_rep, state_space)

Bases: StateRep

The base class for all state representation classes

state_rep

op_rep

reps_have_changed()

actionable_staterep()

class pygsti.evotypes.stabilizer_slow.StateRepTensorProduct(factor_state_reps, state_space)

Bases: StateRep

The base class for all state representation classes

factor_reps

reps_have_changed()

pygsti.evotypes.stabilizer_slow

Submodules

Package Contents

Classes

Attributes

`pygsti.evotypes.stabilizer_slow`