⚡ Governed Acoustic Cavitation

Rayleigh-Plesset Cirq circuit — Rx acoustic driving at 25 kHz + Lindblad depolarizing (K=0.93 rescue) → sonoluminescence_flash measurement. Executes in the Willow meta-layer.

Advisory Simulated · No Python Executed
import cirq
import numpy as np

def governed_rayleigh_plesset_circuit(steps=50, acoustic_drive=0.8):
    q_bubble = cirq.NamedQubit('bubble_mode')  # Bosonic mode approximation
    circuit = cirq.Circuit()

    for t in range(steps):
        circuit.append(cirq.rx(acoustic_drive * np.sin(2 * np.pi * t / 25))(q_bubble))  # 25 kHz analog
        circuit.append(cirq.depolarize(0.01 * (1 - 0.93))(q_bubble))  # K=0.93 rescue

    circuit.append(cirq.measure(q_bubble, key='sonoluminescence_flash'))
    return circuit

# Execute in Willow meta-layer
circ = governed_rayleigh_plesset_circuit()
print("Governed Acoustic Cavitation Circuit Ready for Sonoluminescence Ignition")
API status Cirq+QML