36 lines
1.5 KiB
Plaintext
36 lines
1.5 KiB
Plaintext
---
|
||
title: lookuptable_decoding (v0.29)
|
||
description: API reference for qiskit.ignis.verification.lookuptable_decoding in qiskit v0.29
|
||
in_page_toc_min_heading_level: 1
|
||
python_api_type: function
|
||
python_api_name: qiskit.ignis.verification.lookuptable_decoding
|
||
---
|
||
|
||
<span id="qiskit-ignis-verification-lookuptable-decoding" />
|
||
|
||
# qiskit.ignis.verification.lookuptable\_decoding
|
||
|
||
<Function id="qiskit.ignis.verification.lookuptable_decoding" isDedicatedPage={true} github="https://github.com/qiskit-community/qiskit-ignis/tree/stable/0.6/qiskit/ignis/verification/topological_codes/fitters.py" signature="lookuptable_decoding(training_results, real_results)">
|
||
Calculates the logical error probability using postselection decoding. This postselects all results with trivial syndrome.
|
||
|
||
**Parameters**
|
||
|
||
* **training\_results** (*dict*) – A results dictionary, as produced by the `process_results` method of a code.
|
||
* **real\_results** (*dict*) – A results dictionary, as produced by the `process_results` method of a code.
|
||
|
||
**Returns**
|
||
|
||
**Dictionary of logical error probabilities for**
|
||
|
||
each of the encoded logical states whose results were given in the input.
|
||
|
||
**Return type**
|
||
|
||
dict
|
||
|
||
## Additional information:
|
||
|
||
Given a two dictionaries of results, as produced by a code object, thelogical error probability is calculated for lookup table decoding. This is done using training\_results as a guide to which syndrome is most probable for each logical value, and the probability is calculated for the results in real\_results.
|
||
</Function>
|
||
|