Quantum computational sensing using quantum signal processing, quantum neural networks, and Hamiltonian engineering

Fig. 6, panel (c)

Qubit excitation probability $x_{\mathrm{QCS}}$ of the trained hybrid quantum computational sensor ($D = 16$) over the sensed displacement $(\alpha_x, \alpha_y)$.

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This panel was regenerated by running the authors' plotting code and data from their 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-1) (b-2) (d-1) (d-2)

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