Data-driven synthesis of high-fidelity triaxial magnetic waveforms for quantum control
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.
Keywords
Cite
@article{arxiv.2603.24052,
title = {Data-driven synthesis of high-fidelity triaxial magnetic waveforms for quantum control},
author = {Giuseppe Bevilacqua and Valerio Biancalana and Roberto Cecchi},
journal= {arXiv preprint arXiv:2603.24052},
year = {2026}
}
Comments
8 Pages, 7 Figs, 18 Refs