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PreprintCC BY 4.0arXiv

Multiparameter sensing of axion dark matter with superconducting-qubit networks

Abstract

We propose a quantum sensor network for direct detection of quantum chromodynamics (QCD) axion dark matter using entangled superconducting qubits. In the presence of a static magnetic field, the oscillating axion field induces a coherent qubit rotation described by an encoding angle proportional to the axion-photon coupling and an unknown dark-matter phase. Treating the phase as an additional unknown parameter turns axion detection into a two-parameter quantum estimation problem. We formulate these signals in Cartesian coordinates, thereby avoiding the singularity that arises in the weak-signal regime and establishing a regular framework for multiparameter quantum estimation. Using this framework, we optimize the quantum sensor network and combine it with Bayesian inference to reconstruct the axion-photon coupling. The optimized protocol accurately recovers the KSVZ and DFSZ benchmark couplings over the mass range ma∈[0.1,10] μeV, generalizes to previously unseen masses, and remains robust against realistic superconducting-qubit decoherence and gate errors.

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BibTeX
@misc{ho2026multiparameter,
  title = {{Multiparameter sensing of axion dark matter with superconducting-qubit networks}},
  author = {Le Bin Ho},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.20254},
  eprint = {2609.20254},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.20254},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Multiparameter sensing of axion dark matter with superconducting-qubit networks
AU  - Le Bin Ho
PY  - 2026
DA  - 2026/09/01
PB  - arXiv
DO  - 10.48550/arxiv.2609.20254
UR  - https://arxiv.org/abs/2609.20254
AB  - We propose a quantum sensor network for direct detection of quantum chromodynamics (QCD) axion dark matter using entangled superconducting qubits. In the presence of a static magnetic field, the oscillating axion field induces a coherent qubit rotation described by an encoding angle proportional to the axion-photon coupling and an unknown dark-matter phase. Treating the phase as an additional unknown parameter turns axion detection into a two-parameter quantum estimation problem. We formulate these signals in Cartesian coordinates, thereby avoiding the singularity that arises in the weak-signal regime and establishing a regular framework for multiparameter quantum estimation. Using this framework, we optimize the quantum sensor network and combine it with Bayesian inference to reconstruct the axion-photon coupling. The optimized protocol accurately recovers the KSVZ and DFSZ benchmark couplings over the mass range m_a∈[0.1,10] μeV, generalizes to previously unseen masses, and remains robust against realistic superconducting-qubit decoherence and gate errors.
ER  -