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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.