pygsti.evotypes.statevec_slow

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

Submodules

Package Contents

Classes

EffectRep

EffectRepConjugatedState

EffectRepComputational

EffectRepTensorProduct

EffectRepComposed

OpRep

The base class for all operation representation classes

OpRepDenseUnitary

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

OpRepRandomUnitary

The base class for all operation representation classes

OpRepStochastic

The base class for all operation representation classes

StateRep

The base class for all state representation classes

StateRepDensePure

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

pygsti.evotypes.statevec_slow.minimal_space = 'Hilbert'
class pygsti.evotypes.statevec_slow.EffectRep(state_space)

Bases: object

property dim
probability(state)
abstract amplitude(state)
class pygsti.evotypes.statevec_slow.EffectRepConjugatedState(state_rep)

Bases: EffectRep

to_dense(on_space)
amplitude(state)
class pygsti.evotypes.statevec_slow.EffectRepComputational(zvals, basis, state_space)

Bases: EffectRep

to_dense(on_space, outvec, trust_outvec_sparsity=False)
amplitude(state)
class pygsti.evotypes.statevec_slow.EffectRepTensorProduct(povm_factors, effect_labels, state_space)

Bases: EffectRep

factor_effects_have_changed()
to_dense(on_space, scratch=None)
amplitude(state)
class pygsti.evotypes.statevec_slow.EffectRepComposed(op_rep, effect_rep, op_id, state_space)

Bases: EffectRep

probability(state)
amplitude(state)
class pygsti.evotypes.statevec_slow.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)
acton_random(state, rand_state)
adjoint_acton_random(state, rand_state)
aslinearoperator()
copy()
class pygsti.evotypes.statevec_slow.OpRepDenseUnitary(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)
class pygsti.evotypes.statevec_slow.OpRepStandard(name, basis, state_space)

Bases: OpRepDenseUnitary

The base class for all operation representation classes

class pygsti.evotypes.statevec_slow.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

acton_random(state, rand_state)

Act this gate map on an input state

adjoint_acton_random(state, rand_state)

Act the adjoint of this operation matrix on an input state

reinit_factor_op_reps(new_factor_op_reps)
class pygsti.evotypes.statevec_slow.OpRepSum(factor_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

acton_random(state, rand_state)

Act this gate map on an input state

adjoint_acton_random(state, rand_state)

Act the adjoint of this operation matrix on an input state

class pygsti.evotypes.statevec_slow.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

acton_random(state, rand_state)
adjoint_acton_random(state, rand_state)

Act the adjoint of this gate map on an input state

class pygsti.evotypes.statevec_slow.OpRepExpErrorgen(errorgen_rep)

Bases: OpRep

The base class for all operation representation classes

errgenrep_has_changed(onenorm_upperbound)
acton(state)
adjoint_acton(state)
class pygsti.evotypes.statevec_slow.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

acton_random(state, rand_state)

Act this gate map on an input state

adjoint_acton_random(state, rand_state)

Act the adjoint of this operation matrix on an input state

class pygsti.evotypes.statevec_slow.OpRepLindbladErrorgen(lindblad_coefficient_blocks, state_space)

Bases: OpRep

The base class for all operation representation classes

class pygsti.evotypes.statevec_slow.OpRepRandomUnitary(basis, unitary_rates, unitary_reps, seed_or_state, state_space)

Bases: OpRep

The base class for all operation representation classes

acton_random(state, rand_state)
adjoint_acton_random(state, rand_state)
copy()
update_unitary_rates(rates)
to_dense(on_space)
class pygsti.evotypes.statevec_slow.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.statevec_slow.StateRep(data, state_space, basis)

Bases: pygsti.evotypes.basereps.StateRep

The base class for all state representation classes

property dim
copy_from(other)
actionable_staterep()
to_dense(on_space)
class pygsti.evotypes.statevec_slow.StateRepDensePure(purevec, state_space, basis)

Bases: StateRep

The base class for all state representation classes

property base
base_has_changed()
class pygsti.evotypes.statevec_slow.StateRepComputational(zvals, basis, state_space)

Bases: StateRep

The base class for all state representation classes

class pygsti.evotypes.statevec_slow.StateRepComposed(state_rep, op_rep, state_space)

Bases: StateRep

The base class for all state representation classes

reps_have_changed()
actionable_staterep()
class pygsti.evotypes.statevec_slow.StateRepTensorProduct(factor_state_reps, state_space)

Bases: StateRep

The base class for all state representation classes

reps_have_changed()