Quantum computational sensing using quantum signal processing, quantum neural networks, and Hamiltonian engineering
Fig. 6, panel (b-1)
Left map of panel (b): mean output quadrature $\langle \hat{X}_a \rangle$ of the conventional QS sensor over the sensed displacement $(\alpha_x, \alpha_y)$, divided by $\max|\alpha_{x,y}|$ so the colour scale runs from $-1$ to $1$. The print labels the scale only as $-\max|\alpha_{x,y}|$ to $\max|\alpha_{x,y}|$ and prints no axis numbers.
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Provenance
This panel was computed from the authors' public data deposit (Zenodo: https://doi.org/10.5281/zenodo.15692099, CC BY 4.0). The plot shown here is re-rendered for interactive viewing and analysis. See the paper for the original figure and full scientific context.
License: CC BY 4.0.
npj Quantum Inf. 12, 119 (2026) · DOI: 10.1038/s41534-026-01235-w · arXiv: 2507.15845
Other panels of Fig. 6: (a) (b-2) (c) (d-1) (d-2)
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