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

Saeed A. Khan; Sridhar Prabhu; Logan G. Wright; Peter L. McMahon

doi:10.1038/s41534-026-01235-w

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

Saeed A. Khan, Sridhar Prabhu, Logan G. Wright, Peter L. McMahon

2026npj Quantum Information 12, 119CC BY 4.0LCP000070

Fig. 6, panel (d-2)

Class predicted by the hybrid quantum computational sensor ($D = 16$) with a classical neural network over $(\alpha_x, \alpha_y)$ (shaded), with test points in their class colour where classified correctly and black where not. One sampled realization, not the printed one.

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Data: data.csv
Overlay (Class 1): overlay.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. 6: (a) (b-1) (b-2) (c) (d-1)

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