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. 4, panel (e)

Classification error (%) at the signal strength marked in panel (d), for $M = 3$, 5 and 7 sensing qubits, for Ramsey interferometry and the temporally-, spatially- and spatiotemporally-coherent schemes, with error bars. The print draws horizontal bars and shades each scheme's gain over Ramsey; here the bars are vertical and unshaded.

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Data: data.csv

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. 4: (a) (d)

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