cirq.google.optimizers.gate_product_tabulation

Generate a GateTabulation for a base two qubit unitary.

cirq.google.optimizers.gate_product_tabulation(
    base_gate: np.ndarray,
    max_infidelity: float,
    *,
    sample_scaling: int = 50,
    allow_missed_points: bool = True,
    random_state: "cirq.RANDOM_STATE_OR_SEED_LIKE" = None
) -> cirq.google.GateTabulation

base_gate The base gate of the tabulation.
max_infidelity Sets the desired density of tabulated product unitaries. The typical nearest neighbor Euclidean spacing (of the KAK vectors) will be on the order of $\sqrt{max_infidelity}$. Thus the number of tabulated points will scale as $max_infidelity^{-3/2}$.
sample_scaling Relative number of random gate products to use in the tabulation. The total number of random local unitaries scales as ~ $max_infidelity^{-3/2} * sample_scaling$. Must be positive.
random_state Random state or random state seed.
allow_missed_points If True, the tabulation is allowed to conclude even if not all points in the Weyl chamber are expected to be compilable using 2 or 3 base gates. Otherwise an error is raised in this case.

A GateTabulation object used to compile new two-qubit gates from products of the base gate with 1-local unitaries.