unitaria.Simulator

class unitaria.Simulator(scheme: str = 'exact', default_precision: float | None = None, default_failure_probability: float | None = None, seed: SeedSequence | None = None, count_gates: bool = False)

Bases: Estimator

Estimator based on matrix-arithmetic simulation

Parameters:

• scheme – The measurement scheme, which is simulated. Should be one of "exact" or "monte-carlo".

• default_precision – Default for the precision parameter in estimate_norm.

• default_failure_probability – Default for the failure_probability parameter in estimate_norm.

• count_gates – Wether to count the number of gates. May be much slower.

estimate_norm(node: Node, precision: float | None = None, failure_probability: float | None = None) → float

Estimate the norm of the given block encoding.

The block encoding must represent a vector. The returned value is guaranteed to lie in the range [0, node.normalization].

The implementors of this method are free to interpret the precision``argument loosely, and ignore the ``failure_probability argument.

Parameters:

• node – The node representing the vector of which to compute the norm.

• precision – The absolute precision, with which the norm should be computed. If None, self.default_precision is used instead.

• failure_probability – The maximum allowed failure probability, with which the absolute error of the estimate may exceed the given precision. If None, self.default_failure_probability is used instead.