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arXiv · 2603.24052

Data-driven synthesis of high-fidelity triaxial magnetic waveforms for quantum control

Giuseppe Bevilacqua·Valerio Biancalana·Roberto Cecchi
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Abstract

We present a system for generating arbitrary, triaxial magnetic waveforms with a spectral content spanning from DC to tens of kHz, a critical capability for quantum control and spin manipulation. To compensate for amplifier-coil dynamics, we implement a data-driven approach to identify a numerical compensation model. The method parametrizes the system response using a Finite Impulse Response (FIR) filter calibrated on the specific waveform to be generated. The application of a driving signal designed via frequency-domain inversion of the identified model enables the synthesis of complex field sequences with sharp transitions between static and single- or multi-frequency temporal segments. The work is validated with experimental results demonstrating waveform fidelity and transient performance, thereby showcasing the precision and feasibility of the method.

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Giuseppe Bevilacqua, Valerio Biancalana, Roberto Cecchi. 2026-03-25. Data-driven synthesis of high-fidelity triaxial magnetic waveforms for quantum control. https://arxiv.org/abs/2603.24052

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