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Important

IBM Quantum Platform is moving and this version will be sunset on July 1. To get started on the new platform, read the migration guide.

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.

Distributions

ProbDistribution(data[, shots])A generic dict-like class for probability distributions.
QuasiDistribution(data[, shots])A dict-like class for representing qasi-probabilities.
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