Experiment Results
qiskit.result
Result(backend_name, backend_version, ...[, ...]) | Model for Results. |
ResultError(error) | Exceptions raised due to errors in result output. |
Counts(data[, time_taken, creg_sizes, ...]) | A class to store a counts result from a circuit execution. |
marginal_counts(result[, indices, inplace, ...]) | Marginalize counts from an experiment over some indices of interest. |
marginal_distribution(counts[, indices, ...]) | Marginalize counts from an experiment over some indices of interest. |
marginal_memory(memory[, indices, ...]) | Marginalize shot memory |
Distributions
ProbDistribution(data[, shots]) | A generic dict-like class for probability distributions. |
QuasiDistribution(data[, shots, ...]) | A dict-like class for representing quasi-probabilities. |
Expectation values
sampled_expectation_value(dist, oper) | Computes expectation value from a sampled distribution |
Mitigation
BaseReadoutMitigator() | Base readout error mitigator class. |
CorrelatedReadoutMitigator(assignment_matrix) | N-qubit readout error mitigator. |
LocalReadoutMitigator([assignment_matrices, ...]) | 1-qubit tensor product readout error mitigator. |
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