pygsti.evotypes.densitymx_slow
A pure python (and thus slower) density-matrix, evolution type.
Submodules
Package Contents
Classes
The base class for all POVM effect representation classes |
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The base class for all POVM effect representation classes |
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The base class for all POVM effect representation classes |
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The base class for all POVM effect representation classes |
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The base class for all POVM effect representation classes |
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The base class for all operation representation classes |
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The base class for all operation representation classes |
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The base class for all operation representation classes |
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The base class for all operation representation classes |
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The base class for all operation representation classes |
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The base class for all operation representation classes |
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The base class for all operation representation classes |
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The base class for all operation representation classes |
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The base class for all operation representation classes |
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The base class for all operation representation classes |
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The base class for all operation representation classes |
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The base class for all operation representation classes |
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The base class for all operation representation classes |
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The base class for all operation representation classes |
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The base class for all state representation classes |
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The base class for all state representation classes |
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The base class for all state representation classes |
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The base class for all state representation classes |
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The base class for all state representation classes |
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The base class for all state representation classes |
Attributes
- pygsti.evotypes.densitymx_slow.minimal_space = 'HilbertSchmidt'
- class pygsti.evotypes.densitymx_slow.EffectRep(state_space)
Bases:
pygsti.evotypes.basereps.EffectRep
The base class for all POVM effect representation classes
- abstract probability(state)
- class pygsti.evotypes.densitymx_slow.EffectRepConjugatedState(state_rep)
Bases:
EffectRep
The base class for all POVM effect representation classes
- probability(state)
- to_dense(on_space)
- class pygsti.evotypes.densitymx_slow.EffectRepComputational(zvals, basis, state_space)
Bases:
EffectRep
The base class for all POVM effect representation classes
- probability(state)
- to_dense(on_space, outvec=None)
- class pygsti.evotypes.densitymx_slow.EffectRepTensorProduct(povm_factors, effect_labels, state_space)
Bases:
EffectRep
The base class for all POVM effect representation classes
- to_dense(on_space, outvec=None)
- probability(state)
- factor_effects_have_changed()
- class pygsti.evotypes.densitymx_slow.EffectRepComposed(op_rep, effect_rep, op_id, state_space)
Bases:
EffectRep
The base class for all POVM effect representation classes
- probability(state)
- class pygsti.evotypes.densitymx_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)
- aslinearoperator()
- class pygsti.evotypes.densitymx_slow.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.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.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.OpRepStandard(name, basis, state_space)
Bases:
OpRepDenseSuperop
The base class for all operation representation classes
- class pygsti.evotypes.densitymx_slow.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.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.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.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.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.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.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.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.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
- class pygsti.evotypes.densitymx_slow.StateRep(data, state_space)
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.densitymx_slow.StateRepDense(data, state_space, basis)
Bases:
StateRep
The base class for all state representation classes
- property base
- base_has_changed()
- class pygsti.evotypes.densitymx_slow.StateRepDensePure(purevec, basis, state_space)
Bases:
StateRep
The base class for all state representation classes
- base_has_changed()
- class pygsti.evotypes.densitymx_slow.StateRepComputational(zvals, basis, state_space)
Bases:
StateRep
The base class for all state representation classes