pygsti.baseobjs.statespace
Defines OrderedDict-derived classes used to store specific pyGSTi objects
Module Contents
Classes
Base class for defining a state space (Hilbert or Hilbert-Schmidt space). |
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A state space consisting of N qudits. |
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A state space consisting of N qubits. |
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A customizable definition of a state space. |
Functions
Create a state space for a given superoperator dimension. |
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Create a state space for a given unitary operator dimension. |
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Create a state space for a given number of qubits. |
- class pygsti.baseobjs.statespace.StateSpace
Bases:
pygsti.baseobjs.nicelyserializable.NicelySerializableBase class for defining a state space (Hilbert or Hilbert-Schmidt space).
This base class just sets the API for a “state space” in pyGSTi, accessed as the direct sum of one or more tensor products of Hilbert spaces.
- abstract property udim
Integer Hilbert (unitary operator) space dimension of this quantum state space.
Raises an error if this space is not a quantum state space.
- abstract property dim
Integer Hilbert-Schmidt (super-operator) or classical dimension of this state space.
- abstract property num_qubits
The number of qubits in this quantum state space.
Raises a ValueError if this state space doesn’t consist entirely of qubits.
- abstract property num_qudits
The number of qudits in this quantum state space.
Raises a ValueError if this state space doesn’t consist entirely of qudits.
- abstract property num_tensor_product_blocks
The number of tensor-product blocks which are direct-summed to get the final state space.
Returns
int
- property sole_tensor_product_block_labels
The labels of the first and only tensor product block within this state space.
If there are multiple blocks, a ValueError is raised.
- abstract property tensor_product_blocks_labels
The labels for all the tensor-product blocks.
Returns
tuple of tuples
- abstract property tensor_product_blocks_dimensions
The superoperator dimensions for all the tensor-product blocks.
Returns
tuple of tuples
- abstract property tensor_product_blocks_udimensions
The unitary operator dimensions for all the tensor-product blocks.
Returns
tuple of tuples
- abstract property tensor_product_blocks_types
The type (quantum vs classical) of all the tensor-product blocks.
Returns
tuple of tuples
- property is_entirely_qubits
Whether this state space is just the tensor product of qubit subspaces.
Returns
bool
- property common_dimension
Returns the common super-op dimension of all the labels in this space.
If not all the labels in this space have the same dimension, then None is returned to indicate this.
This property is useful when working with stencils, where operations are created for a “stencil space” that is not exactly a subspace of a StateSpace space but will be mapped to one in the future.
Returns
int or None
- property common_udimension
Returns the common unitary-op dimension of all the labels in this space.
If not all the labels in this space have the same dimension, then None is returned to indicate this.
This property is useful when working with stencils, where operations are created for a “stencil space” that is not exactly a subspace of a StateSpace space but will be mapped to one in the future.
Returns
int or None
- property state_space_labels
Return a tuple corresponding to the concatenation of the constituent state space labels within each tensor product block of this StateSpace object.
Returns
- flattened_state_space_label_listtuple
A tuple containing a flattened list of all of the state space labels appearing within the tensor product blocks of this StateSpace objects label list.
- classmethod cast(obj)
Casts obj into a
StateSpaceobject if possible.If obj is already of this type, it is simply returned without modification.
Parameters
- objStateSpace or int or list
Either an already-built state space object or an integer specifying the number of qubits, or a list of labels as would be provided to the first argument of
ExplicitStateSpace.__init__().
Returns
StateSpace
- abstract label_dimension(label)
The superoperator dimension of the given label (from any tensor product block)
Parameters
- labelstr or int
The label whose dimension should be retrieved.
Returns
int
- abstract label_udimension(label)
The unitary operator dimension of the given label (from any tensor product block)
Parameters
- labelstr or int
The label whose dimension should be retrieved.
Returns
int
- abstract label_tensor_product_block_index(label)
The index of the tensor product block containing the given label.
Parameters
- labelstr or int
The label whose index should be retrieved.
Returns
int
- abstract label_type(label)
The type (quantum or classical) of the given label (from any tensor product block).
Parameters
- labelstr or int
The label whose type should be retrieved.
Returns
str
- tensor_product_block_labels(i_tpb)
The labels for the iTBP-th tensor-product block.
Parameters
- i_tpbint
Tensor-product block index.
Returns
tuple
- tensor_product_block_dimensions(i_tpb)
The superoperator dimensions for the factors in the iTBP-th tensor-product block.
Parameters
- i_tpbint
Tensor-product block index.
Returns
tuple
- tensor_product_block_udimensions(i_tpb)
The unitary-operator dimensions for the factors in the iTBP-th tensor-product block.
Parameters
- i_tpbint
Tensor-product block index.
Returns
tuple
- is_compatible_with(other_state_space)
Whether another state space is compatible with this one.
Two state spaces are considered “compatible” when their overall dimensions agree (even if their tensor product block structure and labels do not). (This checks whether the Hilbert spaces are isomorphic.)
Parameters
- other_state_spaceStateSpace
The state space to check compatibility with.
Returns
bool
- is_entire_space(labels)
True if this state space is a single tensor product block with (exactly, in order) the given set of labels.
Parameters
- labelsiterable
the labels to test.
Returns
bool
- contains_labels(labels)
True if this state space contains all of a given set of labels.
Parameters
- labelsiterable
the labels to test.
Returns
bool
- contains_label(label)
True if this state space contains a given label.
Parameters
- labelstr or int
the label to test for.
Returns
bool
- create_subspace(labels)
Create a sub-StateSpace object from a set of existing labels.
Parameters
- labelsiterable
The labels to include in the returned state space.
Returns
StateSpace
- intersection(other_state_space)
Create a state space whose labels are the intersection of the labels of this space and one other.
Dimensions associated with the labels are preserved, as is the ordering of tensor product blocks. If the two spaces have the same label, but their dimensions or indices do not agree, an error is raised.
Parameters
- other_state_spaceStateSpace
The other state space.
Returns
StateSpace
- union(other_state_space)
Create a state space whose labels are the union of the labels of this space and one other.
Dimensions associated with the labels are preserved, as is the tensor product block index. If the two spaces have the same label, but their dimensions or indices do not agree, an error is raised.
Parameters
- other_state_spaceStateSpace
The other state space.
Returns
StateSpace
- create_stencil_subspace(labels)
Create a template sub-StateSpace object from a set of potentially stencil-type labels.
That is, the elements of labels don’t need to actually exist within this state space – they may be stencil labels that will resolve to a label in this state space later on.
Parameters
- labelsiterable
The labels to include in the returned state space.
Returns
StateSpace
- class pygsti.baseobjs.statespace.QuditSpace(nqudits_or_labels, udim_or_udims)
Bases:
StateSpaceA state space consisting of N qudits.
- property udim
Integer Hilbert (unitary operator) space dimension of this quantum state space.
- property dim
Integer Hilbert-Schmidt (super-operator) or classical dimension of this state space.
- property num_qudits
The number of qubits in this quantum state space.
- property num_tensor_product_blocks
Get the number of tensor-product blocks which are direct-summed to get the final state space.
Returns
int
- property tensor_product_blocks_labels
Get the labels for all the tensor-product blocks.
Returns
tuple of tuples
- property tensor_product_blocks_dimensions
Get the superoperator dimensions for all the tensor-product blocks.
Returns
tuple of tuples
- property tensor_product_blocks_udimensions
Get the unitary operator dimensions for all the tensor-product blocks.
Returns
tuple of tuples
- property tensor_product_blocks_types
Get the type (quantum vs classical) of all the tensor-product blocks.
Returns
tuple of tuples
- label_dimension(label)
The superoperator dimension of the given label (from any tensor product block)
Parameters
- labelstr or int
The label whose dimension should be retrieved.
Returns
int
- label_udimension(label)
The unitary operator dimension of the given label (from any tensor product block)
Parameters
- labelstr or int
The label whose dimension should be retrieved.
Returns
int
- class pygsti.baseobjs.statespace.QubitSpace(nqubits_or_labels)
Bases:
QuditSpaceA state space consisting of N qubits.
- property udim
Integer Hilbert (unitary operator) space dimension of this quantum state space.
- property dim
Integer Hilbert-Schmidt (super-operator) or classical dimension of this state space.
- property qubit_labels
The labels of the qubits
- property num_qubits
The number of qubits in this quantum state space.
- property num_tensor_product_blocks
Get the number of tensor-product blocks which are direct-summed to get the final state space.
Returns
int
- property tensor_product_blocks_labels
Get the labels for all the tensor-product blocks.
Returns
tuple of tuples
- property tensor_product_blocks_dimensions
Get the superoperator dimensions for all the tensor-product blocks.
Returns
tuple of tuples
- property tensor_product_blocks_udimensions
Get the unitary operator dimensions for all the tensor-product blocks.
Returns
tuple of tuples
- property tensor_product_blocks_types
Get the type (quantum vs classical) of all the tensor-product blocks.
Returns
tuple of tuples
- label_dimension(label)
The superoperator dimension of the given label (from any tensor product block)
Parameters
- labelstr or int
The label whose dimension should be retrieved.
Returns
int
- label_udimension(label)
The unitary operator dimension of the given label (from any tensor product block)
Parameters
- labelstr or int
The label whose dimension should be retrieved.
Returns
int
- class pygsti.baseobjs.statespace.ExplicitStateSpace(label_list, udims=None, types=None)
Bases:
StateSpaceA customizable definition of a state space.
An ExplicitStateSpace object describes, using string/int labels, how an entire Hilbert state space is decomposed into the direct sum of terms which themselves are tensor products of smaller (typically qubit-sized) Hilbert spaces.
Parameters
- label_liststr or int or iterable
Most generally, this can be a list of tuples, where each tuple contains the state-space labels (which can be strings or integers) for a single “tensor product block” formed by taking the tensor product of the spaces asociated with the labels. The full state space is the direct sum of all the tensor product blocks. E.g. [(‘Q0’,’Q1’), (‘Q2’,)].
If just an iterable of labels is given, e.g. (‘Q0’,’Q1’), it is assumed to specify the first and only tensor product block.
If a single state space label is given, e.g. ‘Q2’, then it is assumed to completely specify the first and only tensor product block.
- udimsint or iterable, optional
The dimension of each state space label as an integer, tuple of integers, or list or tuples of integers to match the structure of label_list. e.g., if label_list=(‘Q0’,’Q1’) then udims should be a tuple of 2 integers, or if label_list=’Q0’ then udims should be an integer. Values specify unitary evolution state-space dimensions, i.e. 2 for a qubit, 3 for a qutrit, etc. If None, then the dimensions are inferred, if possible, from the following naming rules:
if the label starts with ‘L’, udim=1 (a single Level)
if the label starts with ‘Q’ OR is an int, udim=2 (a Qubit)
if the label starts with ‘T’, udim=3 (a quTrit)
- typesstr or iterable, optional
A list of label types, either ‘Q’ or ‘C’ for “quantum” and “classical” respectively, indicating the type of state-space associated with each label. Like dims, types must match the structure of label_list. A quantum state space of dimension d is a d-by-d density matrix, whereas a classical state space of dimension d is a vector of d probabilities. If None, then all labels are assumed to be quantum.
- property udim
Integer Hilbert (unitary operator) space dimension of this quantum state space.
Raises an error if this space is not a quantum state space.
- property dim
Integer Hilbert-Schmidt (super-operator) or classical dimension of this state space.
- property num_qubits
The number of qubits in this quantum state space.
Raises a ValueError if this state space doesn’t consist entirely of qubits.
- property num_qudits
The number of qudits in this quantum state space.
Raises a ValueError if this state space doesn’t consist entirely of qudits.
- property num_tensor_product_blocks
The number of tensor-product blocks which are direct-summed to get the final state space.
Returns
int
- property tensor_product_blocks_labels
The labels for all the tensor-product blocks.
Returns
tuple of tuples
- property tensor_product_blocks_dimensions
The superoperator dimensions for all the tensor-product blocks.
Returns
tuple of tuples
- property tensor_product_blocks_udimensions
The unitary operator dimensions for all the tensor-product blocks.
Returns
tuple of tuples
- property tensor_product_blocks_types
The type (quantum vs classical) of all the tensor-product blocks.
Returns
tuple of tuples
- labels
- label_types
- label_udims
- label_dims
- tpb_index
- tpb_dims = '[]'
- tpb_udims = '[]'
- label_dimension(label)
The superoperator dimension of the given label (from any tensor product block)
Parameters
- labelstr or int
The label whose dimension should be retrieved.
Returns
int
- label_udimension(label)
The unitary operator dimension of the given label (from any tensor product block)
Parameters
- labelstr or int
The label whose dimension should be retrieved.
Returns
int
- pygsti.baseobjs.statespace.default_space_for_dim(dim)
Create a state space for a given superoperator dimension.
Parameters
- dimint
The dimension.
Returns
StateSpace