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Quantum Machine Learning

Variational Quantum Integrated Sensing and Communication

arXiv
Authors: Ivana Nikoloska, Osvaldo Simeone

Year

2025

Paper ID

16860

Status

Preprint

Abstract Read

~2 min

Abstract Words

101

Citations

N/A

Abstract

The integration of sensing and communication functionalities within a common system is one of the main innovation drivers for next-generation networks. In this paper, we introduce a quantum integrated sensing and communication (QISAC) protocol that leverages entanglement in quantum carriers of information to enable both superdense coding and quantum sensing. The proposed approach adaptively optimizes encoding and quantum measurement via variational circuit learning, while employing classical machine learning-based decoders and estimators to process the measurement outcomes. Numerical results for qudit systems demonstrate that the proposed QISAC protocol can achieve a flexible trade-off between classical communication rate and accuracy of parameter estimation.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2025 reference point for readers tracking recent quantum research.
  • The integration of sensing and communication functionalities within a common system is one of the main innovation drivers for next-generation networks.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2511.16597 [2] arXiv https://arxiv.org/abs/2511.16597 [3] Publisher https://arxiv.org/abs/2511.16597

Local Citation Graph (Related-Paper Links)

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External citation index: OpenAlex citation signal

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