Quantum computational sensing using quantum signal processing, quantum neural networks, and Hamiltonian engineering
Fig. 2, panel (e-3)
Expected measurement outcome $x_{\mathrm{QCS}}$ of the trained quantum computational sensor with $L = 2^6$ layers ($S = 1$) against $\theta$, with the target $\mathcal{F}^{\star}(\theta)$ in grey. The print colours the curve by its value; here it is one colour.
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- Data: data.csv
Provenance
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. 2: (a) (c) (e-1) (e-2) (f) (f-inset)
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