NormalDistribution¶

class NormalDistribution(num_target_qubits, mu=0, sigma=1, low=- 1, high=1)[source]¶

Bases: qiskit.aqua.components.uncertainty_models.univariate_distribution.UnivariateDistribution

The Univariate Normal Distribution.

Normal distribution, truncated to lower and upper bound and discretized on a grid defined by the number of qubits.

Parameters

num_target_qubits (int) – Number of qubits it acts on, has a minimum value of 1.
mu (float) – Expected value of considered normal distribution
sigma (float) – standard deviation of considered normal distribution
low (float) – Lower bound, i.e., the value corresponding to |0…0> (assuming an equidistant grid)
high (float) – Upper bound, i.e., the value corresponding to |1…1> (assuming an equidistant grid)

Methods

`build`
`build_controlled`	Adds corresponding controlled sub-circuit to given circuit
`build_controlled_inverse`	Adds controlled inverse of corresponding sub-circuit to given circuit
`build_controlled_inverse_power`	Adds controlled, inverse, power of corresponding circuit.
`build_controlled_power`	Adds controlled power of corresponding circuit.
`build_inverse`	Adds inverse of corresponding sub-circuit to given circuit
`build_inverse_power`	Adds inverse power of corresponding circuit.
`build_power`	Adds power of corresponding circuit.
`get_num_qubits`	returns number of qubits
`get_num_qubits_controlled`	returns number of qubits controlled
`pdf_to_probabilities`	Takes a probability density function (pdf), and returns a truncated and discretized array of probabilities corresponding to it
`required_ancillas`	returns required ancillas
`required_ancillas_controlled`	returns required ancillas controlled

Attributes