Quantum computational sensing using quantum signal processing, quantum neural networks, and Hamiltonian engineering
Fig. 3, panel (m-3)
Expected probability $x_{11}$ of measuring bitstring 11 over the phases $(\theta_1, \theta_2)$ for the QCS scheme with $N = L \times S = 2^6$, $L = 2^6$, $S = 1$, four-class task.
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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. 3: (a) (d-1) (d-2) (d-3) (d-4) (e-1) (e-2) (e-3) (e-4) (f) (f-inset) (g) (g-inset) (h) (h-inset) (i) (l-1) (l-2) (l-3) (l-4) (m-1) (m-2) (m-4) (n) (n-inset) (o) (o-inset) (p) (p-inset)
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