mthree.classes.ProbDistribution¶
- class ProbDistribution(data, shots=None, mitigation_overhead=None)[source]¶
A generic dict-like class for probability distributions.
- Parameters:
data (dict or Counts or ProbDistribution or QuasiDistribution) – Input data.
shots (int) – Number shots taken to form distribution.
- Raises:
M3Error – Input not derived from discrete samples.
Methods
expval([exp_ops])Compute expectation value from distribution.
expval_and_stddev([exp_ops])Compute expectation value and standard deviation from distribution.
stddev()Compute standard deviation from distribution.
- expval(exp_ops='')[source]¶
Compute expectation value from distribution.
- Parameters:
exp_ops (str or dict or list) – String representation of diagonal qubit operators used in computing the expectation value.
- Returns:
Expectation value.
- Return type:
float
- Raises:
M3Error – Invalid type passed to exp_ops
Notes
The dict operator format is a sparse diagonal format using bitstrings as the keys.
- expval_and_stddev(exp_ops='')[source]¶
Compute expectation value and standard deviation from distribution.
- Parameters:
exp_ops (str or dict) – String or dict representation of diagonal qubit operators used in computing the expectation value.
- Returns:
Expectation value. float: Standard deviation.
- Return type:
float
Notes
The dict operator format is a sparse diagonal format using bitstrings as the keys.