This work considers a recent framework for realizing quantum-like gates using acoustic analogues to quantum bits, known as phase bits or phibits. Phibits, and gate operations upon them, are produced by utilizing an experimental metastructure of three aluminum waveguides bonded with epoxy and observing nonlinear vibrations when the system is driven at controllable frequencies. While this framework specifies the conditions for the system to produce gates, it leaves a gap in how to identify ideal driving frequencies that match the specification. We show how to use data-driven visualization methods to address the characterization and calibration of this system. Specifically, by characterization, we mean identifying and comparing conditions under which target operations are feasible. By calibration, we mean selecting concrete channel triplets and driver frequencies that realize those operations reproducibly. We develop a visualization platform that enhances the framework with reproducible characterization and calibration tools. Our method encodes target operations as explicit phase change tests between an initial and a final driver setting, presented in two, linked, parallel coordinate plots. We demonstrate the utility of this approach on multiple experimental runs, showing the potential to further streamline utilizing acoustic systems in computational settings.
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Hasan et al. (2026) studied this question.
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