BernoulliDistribution

class BernoulliDistribution(p, low=0, high=1)

The Univariate Bernoulli Distribution.

Distribution with only two values (low, high) and the corresponding probabilities represented by a single qubit.

Parameters

• p (float) – Probability

• low (float) – Low value

• high (float) – High value

Attributes

BernoulliDistribution.high	returns high
BernoulliDistribution.low	returns low
BernoulliDistribution.num_target_qubits	Returns the number of target qubits
BernoulliDistribution.num_values	returns number of values
BernoulliDistribution.p
BernoulliDistribution.probabilities	returns probabilities
BernoulliDistribution.values	returns values

Methods

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