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.