cirq.experiments.random_quantum_circuit_generation.random_rotations_between_two_qubit_circuit

Generate a random two-qubit quantum circuit.

cirq.experiments.random_quantum_circuit_generation.random_rotations_between_two_qubit_circuit(
    q0: "cirq.Qid",
    q1: "cirq.Qid",
    depth: int,
    two_qubit_op_factory: Callable[['cirq.Qid', 'cirq.Qid', 'np.random.RandomState'], 'cirq.OP_TREE'] = (lambda a, b, _: ops.CZPowGate()(a, b)),
    single_qubit_gates: Sequence['cirq.Gate'] = (ops.X ** 0.5, ops.Y ** 0.5, ops.PhasedXPowGate(phase_exponent=0.25,\n    exponent=0.5)),
    add_final_single_qubit_layer: bool = True,
    seed: "cirq.RANDOM_STATE_OR_SEED_LIKE" = None
) -> "cirq.Circuit"

This construction uses a similar structure to those in the paper https://www.nature.com/articles/s41586-019-1666-5

The generated circuit consists of a number of "cycles", this number being specified by depth. Each cycle is actually composed of two sub-layers: a layer of single-qubit gates followed by a layer of two-qubit gates, controlled by their respective arguments, see below.

Args
`q0`	The first qubit
`q1`	The second qubit
`depth`	The number of cycles.
`two_qubit_op_factory`	A callable that returns a two-qubit operation. These operations will be generated with calls of the form `two_qubit_op_factory(q0, q1, prng)`, where `prng` is the pseudorandom number generator.
`single_qubit_gates`	Single-qubit gates are selected randomly from this sequence. No qubit is acted upon by the same single-qubit gate in consecutive cycles. If only one choice of single-qubit gate is given, then this constraint is not enforced.
`add_final_single_qubit_layer`	Whether to include a final layer of single-qubit gates after the last cycle (subject to the same non-consecutivity constraint).
`seed`	A seed or random state to use for the pseudorandom number generator.

cirq.experiments.random_quantum_circuit_generation.random_rotations_between_two_qubit_circuit

Args