`pygsti.evotypes.densitymx_slow`

A pure python (and thus slower) density-matrix, evolution type.

Submodules

Package Contents

Classes

`EffectRep`	Any representation of an "effect" in the sense of a POVM.
`EffectRepConjugatedState`	A real superket representation of an "effect" in the sense of a POVM.
`EffectRepComputational`	Any representation of an "effect" in the sense of a POVM.
`EffectRepTensorProduct`	Any representation of an "effect" in the sense of a POVM.
`EffectRepComposed`	Any representation of an "effect" in the sense of a POVM.
`OpRep`	A real superoperator on Hilbert-Schmidt space.
`OpRepDenseSuperop`	A real superoperator on Hilbert-Schmidt space.
`OpRepDenseUnitary`	A real superoperator on Hilbert-Schmidt space.
`OpRepSparse`	A real superoperator on Hilbert-Schmidt space.
`OpRepStandard`	A real superoperator on Hilbert-Schmidt space.
`OpRepKraus`	A real superoperator on Hilbert-Schmidt space.
`OpRepRandomUnitary`	A real superoperator on Hilbert-Schmidt space.
`OpRepStochastic`	A real superoperator on Hilbert-Schmidt space.
`OpRepComposed`	A real superoperator on Hilbert-Schmidt space.
`OpRepSum`	A real superoperator on Hilbert-Schmidt space.
`OpRepEmbedded`	A real superoperator on Hilbert-Schmidt space.
`OpRepExpErrorgen`	A real superoperator on Hilbert-Schmidt space.
`OpRepIdentityPlusErrorgen`	A real superoperator on Hilbert-Schmidt space.
`OpRepRepeated`	A real superoperator on Hilbert-Schmidt space.
`StateRep`	A real superket representation of an element in Hilbert-Schmidt space.
`StateRepDense`	An almost-trivial wrapper around StateRep.
`StateRepDensePure`	A real superket representation of an element in Hilbert-Schmidt space.
`StateRepComputational`	A real superket representation of an element in Hilbert-Schmidt space.
`StateRepComposed`	A real superket representation of an element in Hilbert-Schmidt space.
`StateRepTensorProduct`	A real superket representation of an element in Hilbert-Schmidt space.

Attributes

`minimal_space`
`SpaceT`
`SpaceT`
`SpaceT`

pygsti.evotypes.densitymx_slow.minimal_space = "'HilbertSchmidt'"

pygsti.evotypes.densitymx_slow.SpaceT

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

Any representation of an “effect” in the sense of a POVM.

state_space

abstractmethod probability(state)

class pygsti.evotypes.densitymx_slow.EffectRepConjugatedState(state_rep)

Bases: EffectRep

A real superket representation of an “effect” in the sense of a POVM. Internally uses a StateRepDense object to hold the real superket.

state_rep

probability(state)

to_dense(on_space: pygsti.SpaceT)

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

Bases: EffectRep

Any representation of an “effect” in the sense of a POVM.

zvals_int = '0'

zvals

nfactors

abs_elval

basis

probability(state)

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

class pygsti.evotypes.densitymx_slow.EffectRepTensorProduct(povm_factors, effect_labels, state_space)

Bases: EffectRep

Any representation of an “effect” in the sense of a POVM.

povm_factors

effect_labels

kron_array

factor_dims

max_factor_dim

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

probability(state)

factor_effects_have_changed()

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

Bases: EffectRep

Any representation of an “effect” in the sense of a POVM.

op_rep

effect_rep

op_id

state_space

probability(state)

pygsti.evotypes.densitymx_slow.SpaceT

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

A real superoperator on Hilbert-Schmidt space.

property dim

state_space

abstractmethod acton(state)

abstractmethod adjoint_acton(state)

aslinearoperator(): Return a SciPy LinearOperator that accepts superket representations of vectors in Hilbert-Schmidt space and returns a vector of that same representation.

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

Bases: OpRep

A real superoperator on Hilbert-Schmidt space. The operator’s action (and adjoint action) work with Hermitian matrices stored as vectors in their real superket representations.

basis

base

base_has_changed()

to_dense(on_space: pygsti.SpaceT)

acton(state)

adjoint_acton(state)

copy()

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

Bases: OpRep

A real superoperator on Hilbert-Schmidt space.

basis

base

superop_base

state_space

base_has_changed()

to_dense(on_space: pygsti.SpaceT)

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

A real superoperator on Hilbert-Schmidt space.

property data

property indices

property indptr

A

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: pygsti.SpaceT)

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

Bases: OpRepDenseSuperop

A real superoperator on Hilbert-Schmidt space. The operator’s action (and adjoint action) work with Hermitian matrices stored as vectors in their real superket representations.

name

basis

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

Bases: OpRep

A real superoperator on Hilbert-Schmidt space.

basis

kraus_reps

acton(state)

adjoint_acton(state)

copy()

to_dense(on_space: pygsti.SpaceT)

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

Bases: OpRep

A real superoperator on Hilbert-Schmidt space.

basis

unitary_reps

unitary_rates

state_space

acton(state)

adjoint_acton(state)

copy()

update_unitary_rates(rates)

to_dense(on_space: pygsti.SpaceT)

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

Bases: OpRepRandomUnitary

A real superoperator on Hilbert-Schmidt space.

rates

stochastic_basis

basis

update_rates(rates)

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

Bases: OpRep

A real superoperator on Hilbert-Schmidt space.

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

reinit_factor_op_reps(factor_reps)

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

Bases: OpRep

A real superoperator on Hilbert-Schmidt space.

factor_reps

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

A real superoperator on Hilbert-Schmidt space.

embedded_rep

num_basis_els

action_inds

blocksizes

basisInds_noop_blankaction

multipliers

basisInds_action

ncomponents

active_block_index

nblocks

offset

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

A real superoperator on Hilbert-Schmidt space.

errorgen_rep

mu = '1.0'

eta = '1.0'

m_star = '0'

s = '0'

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

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

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

Bases: OpRep

A real superoperator on Hilbert-Schmidt space.

errorgen_rep

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.densitymx_slow.OpRepRepeated(rep_to_repeat, num_repetitions, state_space)

Bases: OpRep

A real superoperator on Hilbert-Schmidt space.

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

pygsti.evotypes.densitymx_slow.SpaceT

class pygsti.evotypes.densitymx_slow.StateRep(data, state_space)

A real superket representation of an element in Hilbert-Schmidt space.

property dim

data

state_space

copy_from(other)

actionable_staterep()

to_dense(on_space: pygsti.SpaceT)

class pygsti.evotypes.densitymx_slow.StateRepDense(data, state_space, basis)

Bases: StateRep

An almost-trivial wrapper around StateRep. Implements the “base” property and defines a trivial “base_has_changed” function.

property base

base_has_changed()

class pygsti.evotypes.densitymx_slow.StateRepDensePure(purevec, basis, state_space)

Bases: StateRep

A real superket representation of an element in Hilbert-Schmidt space.

base

basis

base_has_changed()

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

Bases: StateRep

A real superket representation of an element in Hilbert-Schmidt space.

basis

zvals

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

Bases: StateRep

A real superket representation of an element in Hilbert-Schmidt space.

state_rep

op_rep

reps_have_changed()

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

Bases: StateRep

A real superket representation of an element in Hilbert-Schmidt space.

factor_reps

reps_have_changed()

pygsti.evotypes.densitymx_slow

Submodules

Package Contents

Classes

Attributes

`pygsti.evotypes.densitymx_slow`