51 lines
4.1 KiB
Plaintext
51 lines
4.1 KiB
Plaintext
---
|
||
title: result
|
||
description: API reference for qiskit.result
|
||
in_page_toc_min_heading_level: 2
|
||
python_api_type: module
|
||
python_api_name: qiskit.result
|
||
---
|
||
|
||
<span id="module-qiskit.result" />
|
||
|
||
<span id="qiskit-result" />
|
||
|
||
<span id="experiment-results-qiskit-result" />
|
||
|
||
# Experiment Results
|
||
|
||
<span id="module-qiskit.result" />
|
||
|
||
`qiskit.result`
|
||
|
||
| | |
|
||
| ----------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------- |
|
||
| [`Result`](qiskit.result.Result "qiskit.result.Result")(backend\_name, backend\_version, ...\[, ...]) | Model for Results. |
|
||
| [`ResultError`](qiskit.result.ResultError "qiskit.result.ResultError")(error) | Exceptions raised due to errors in result output. |
|
||
| [`Counts`](qiskit.result.Counts "qiskit.result.Counts")(data\[, time\_taken, creg\_sizes, ...]) | A class to store a counts result from a circuit execution. |
|
||
| [`marginal_counts`](qiskit.result.marginal_counts "qiskit.result.marginal_counts")(result\[, indices, inplace, ...]) | Marginalize counts from an experiment over some indices of interest. |
|
||
| [`marginal_distribution`](qiskit.result.marginal_distribution "qiskit.result.marginal_distribution")(counts\[, indices, ...]) | Marginalize counts from an experiment over some indices of interest. |
|
||
| [`marginal_memory`](qiskit.result.marginal_memory "qiskit.result.marginal_memory")(memory\[, indices, ...]) | Marginalize shot memory |
|
||
|
||
## Distributions
|
||
|
||
| | |
|
||
| ------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------- |
|
||
| [`ProbDistribution`](qiskit.result.ProbDistribution "qiskit.result.ProbDistribution")(data\[, shots]) | A generic dict-like class for probability distributions. |
|
||
| [`QuasiDistribution`](qiskit.result.QuasiDistribution "qiskit.result.QuasiDistribution")(data\[, shots, ...]) | A dict-like class for representing quasi-probabilities. |
|
||
|
||
## Expectation values
|
||
|
||
| | |
|
||
| ---------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------ |
|
||
| [`sampled_expectation_value`](qiskit.result.sampled_expectation_value "qiskit.result.sampled_expectation_value")(dist, oper) | Computes expectation value from a sampled distribution |
|
||
|
||
## Mitigation
|
||
|
||
| | |
|
||
| --------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------- |
|
||
| [`BaseReadoutMitigator`](qiskit.result.BaseReadoutMitigator "qiskit.result.BaseReadoutMitigator")() | Base readout error mitigator class. |
|
||
| [`CorrelatedReadoutMitigator`](qiskit.result.CorrelatedReadoutMitigator "qiskit.result.CorrelatedReadoutMitigator")(assignment\_matrix) | N-qubit readout error mitigator. |
|
||
| [`LocalReadoutMitigator`](qiskit.result.LocalReadoutMitigator "qiskit.result.LocalReadoutMitigator")(\[assignment\_matrices, ...]) | 1-qubit tensor product readout error mitigator. |
|
||
|