qiskit_noise_learning.sequences.LogPathSpace
class qiskit_noise_learning.sequences.LogPathSpace(fidelity_space: IndexedSpace[FidelityIndex])
Bases: IndexedSpace[Path]
The (infinite-dimensional) space of log path-fidelities.
For a Path, the “path-fidelity” is:
- If the path is unbound, the product of the fidelities in the repeatable fragment.
- If the path is bound, the product of all fidelities in the path (counting multiplicities).
This corresponds to the sign-corrected observable of an experiment traversing the path.
The log path space represents the vector space of such log path-fidelities, indexed by the paths themselves. It is defined relative to a space of log fidelities: a path is a member if all of the fidelity indices in its fragments are members of that fidelity space.
Parameters
fidelity_space – The space of log fidelities whose fidelity indices the paths are built from.
__init__
__init__(fidelity_space: IndexedSpace[FidelityIndex])
Methods
Column 1 | Column 2 |
|---|---|
__init__(fidelity_space) |
Attributes
Column 1 | Column 2 |
|---|---|
dim | The dimension (cardinality) of the space. |
fidelity_space | The space of log fidelities whose fidelity indices the paths are built from. |
fidelity_space
Type: IndexedSpace[FidelityIndex]
The space of log fidelities whose fidelity indices the paths are built from.