We present an experimental demonstration of a software-defined noise suppression protocolon a commercial superconducting quantum processor (Rigetti Ankaa-3 via AWS Braket).The protocol combines three layers: (1) Figure-8 control pulses whose 2:1 quadrature frequencyratio gives each loop a vanishing first Fourier moment, (2) node-synchronized readoutthat gates measurements at loop-closure times, and (3) adaptive phase tracking that compensatesfor environmental drift. Key experimental results include: a break-even thresholdexceeded with a +10 percentage-point improvement over baseline idle; phase-dependent suppressionyielding +82 percentage-point variation through optimal phase selection; and theexperimental observation of amplitude–phase coupling (APC), in which the optimal controlphase shifts by ≈ 0.9 rad per unit amplitude change. We report APC here as an operationalfeature of the measured control landscape; its microscopic interpretation in termsof average-Hamiltonian cancellation in a three-level Duffing model has been developed insubsequent work [2, 3]. The adaptive layer recovers fidelity from 13% to 85% autonomouslyafter environmental drift. These results demonstrate that the proposed protocol providesrobust, hardware-agnostic noise suppression without device modification.