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arxiv: 2508.17179 · v2 · submitted 2025-08-24 · 💻 cs.IT · math.IT

Polarization-Aware DoA Detection Relying on a Single Rydberg Atomic Receiver

Pith reviewed 2026-05-18 22:07 UTC · model grok-4.3

classification 💻 cs.IT math.IT
keywords Rydberg atomsdirection of arrivalelectromagnetically induced transparencyquantum sensingpolarization angleatomic receiverquantum Cramér-Rao bound
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The pith

A single Rydberg atomic vapor cell resolves incoming radio wave direction to sub-0.1° by sensing electric and magnetic field vectors sequentially.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper establishes a polarization-aware direction-of-arrival scheme that uses one Rydberg vapor cell to retrieve both the electric-field polarization angle and the RF magnetic-field orientation from a single location. Two sequential EIT measurements are performed under a shared static magnetic bias field: the first on an electric-dipole transition and the second on a magnetic-dipole transition. This dual sensitivity reconstructs the full vector of the electromagnetic wave without spatial arrays or phase references. A sympathetic reader would care because the approach promises compact, quantum-enhanced angular precision for radio sensing tasks, and simulations indicate that appropriate geometries can reach sub-0.1° resolution at moderate field strengths.

Core claim

In the presence of a static magnetic bias field defining a quantization axis, a pair of sequential EIT measurements in the same vapor cell extracts the electric-field polarization angle from Zeeman-resolved peaks on an electric-dipole transition and the RF magnetic-field orientation from peaks on a magnetic-dipole transition. The scheme yields independent sensitivities to both angles, enabling DoA reconstruction. The authors derive the quantum Fisher-information matrix and a closed-form quantum Cramér-Rao bound for joint estimation of the angles, with simulations validating sub-0.1° resolution under suitable polarization and magnetic-field geometries at moderate RF driving strengths.

What carries the argument

Sequential EIT measurements on electric-dipole and magnetic-dipole transitions within the same vapor cell under a shared quantization axis, which decouples extraction of polarization angle from magnetic orientation.

If this is right

  • The dual sensitivity allows precise DoA reconstruction from a single cell without spatial diversity or phase referencing.
  • The quantum Fisher-information matrix yields a closed-form QCRB for joint estimation of the polarization and orientation angles.
  • Simulations identify optimal polarization and magnetic-field geometries that achieve sub-0.1° resolution at moderate RF strengths.
  • The method operates across various quantum parameters while remaining independent on the two angles.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Compact single-cell receivers of this type could reduce hardware size in direction-finding systems for communications or radar.
  • The sequential measurement principle might extend to sensing vector properties of other electromagnetic or acoustic fields.
  • Testing performance under time-varying fields or in the presence of noise sources not modeled in the simulations would clarify practical limits.

Load-bearing premise

The two sequential EIT measurements can independently and stably extract the electric polarization angle and magnetic orientation without cross-interference or instability in the quantization axis.

What would settle it

An experiment in which the joint angle resolution under the proposed geometries and moderate RF strengths falls short of the derived sub-0.1° QCRB or shows measurable cross-talk between the electric and magnetic channels.

Figures

Figures reproduced from arXiv: 2508.17179 by Chau Yuen, Chong Meng Samson See, Darmindra Arumugam, Lajos Hanzo, M\'erouane Debbah, Yuanbin Chen.

Figure 1
Figure 1. Figure 1: Illustration of the atomic system in the quantization axis specified by a static magnetic bias field [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Illustration of pure Λ systems. term ⟨1/2, mJ ; 1, q|1/2, mJ ′ ⟩ is the Clebsch-Gordan coeffi￾cient [36], which can be expanded in the form of a Wigner 3 − j symbol formulated as [37] ⟨1/2, mJ ; 1, q|1/2, m′ J ⟩ = √ 2 × (−1)1/2−mJ  1/2 1 1/2 −mJ q m′ J  . (11) The Clebsch-Gordan coefficients in (11) characterize which transition ∆m is allowed and their own contributions. Conse￾quently, (9) can be explici… view at source ↗
Figure 3
Figure 3. Figure 3: Zeeman-resolved EIT spectrum at fixed θRF = 30◦ and θbias = 0◦ . A. Magnetic-Dipole Transition We replace the atomic system in (3) with the following four-level system 5S1/2 Ω ′ p →5P3/2 Ω ′ →c n ′P1/2 Ω →M1 nP3/2. (19) The fine-structured link n ′P1/2 → nP3/2 is electric￾dipole disabled but magnetic-dipole enabled, and thus the RF field couples to it only through its magnetic com￾ponents BRF. When imposin… view at source ↗
Figure 4
Figure 4. Figure 4: Zeeman-resolved EIT spectrum with varying [PITH_FULL_IMAGE:figures/full_fig_p007_4.png] view at source ↗
Figure 7
Figure 7. Figure 7: QCRB versus (a) the electric-field amplitude [PITH_FULL_IMAGE:figures/full_fig_p010_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: QCRB landscape in the E0 − Bbias plane. Bbias separates the Zeeman shifts beyond the EIT linewidth, preventing the accumulation of geometric information and hence degrading the QCRB again [PITH_FULL_IMAGE:figures/full_fig_p010_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: CRB performance versus the number of elements. [PITH_FULL_IMAGE:figures/full_fig_p011_9.png] view at source ↗
Figure 11
Figure 11. Figure 11: CRB performance versus the Tx-Rx distance. [PITH_FULL_IMAGE:figures/full_fig_p012_11.png] view at source ↗
read the original abstract

A polarization-aware direction-of-arrival (DoA) detection scheme is conceived that leverages the intrinsic vector sensitivity of a single Rydberg atomic vapor cell to achieve quantum-enhanced angle resolution. Our core idea lies in the fact that the vector nature of an electromagnetic wave is uniquely determined by its orthogonal electric and magnetic field components, both of which can be retrieved by a single Rydberg atomic receiver via electromagnetically induced transparency (EIT)-based spectroscopy. To be specific, in the presence of a static magnetic bias field that defines a stable quantization axis, a pair of sequential EIT measurements is carried out in the same vapor cell. Firstly, the electric-field polarization angle is extracted from the Zeeman-resolved EIT spectrum associated with an electric-dipole transition driven by the radio frequency (RF) field. Within the same experimental cycle, the RF field is then retuned to a magnetic-dipole resonance, producing Zeeman-resolved EIT peaks for decoding the RF magnetic-field orientation. This scheme exhibits a dual yet independent sensitivity on both angles, allowing for precise DoA reconstruction without the need for spatial diversity or phase referencing. Building on this foundation, we derive the quantum Fisher-information matrix (QFIM) and obtain a closed-form quantum Cram\'{e}r-Rao bound (QCRB) for the joint estimation of polarization and orientation angles. Finally, simulation results spanning various quantum parameters validate the proposed approach and identify optimal operating regimes. With appropriately chosen polarization and magnetic-field geometries, a single vapor cell is expected to achieve sub-0.1$^\circ$ angle resolution at moderate RF-field driving strengths.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The paper proposes a polarization-aware DoA detection scheme that uses a single Rydberg atomic vapor cell. A static magnetic bias field defines the quantization axis for two sequential EIT measurements in the same cell: the first extracts the RF electric-field polarization angle from a Zeeman-resolved electric-dipole transition, while the second retunes to a magnetic-dipole resonance to decode the RF magnetic-field orientation. The quantum Fisher-information matrix is derived to obtain a closed-form QCRB on the joint estimation of the two angles, and simulations are used to identify operating regimes that achieve sub-0.1° resolution.

Significance. If the independence assumptions hold, the work offers a compact, single-cell alternative to spatially diverse arrays for quantum-enhanced DoA sensing by exploiting the vector character of the EM wave. The closed-form QCRB and parameter-sweep simulations constitute a concrete theoretical contribution that can guide future experiments.

major comments (2)
  1. [Section III] Section III (scheme description): the derivation of the joint QCRB rests on the assumption that the static bias field remains an unchanging quantization axis and that retuning the RF drive from the electric-dipole to the magnetic-dipole resonance introduces neither transient population transfer nor residual RF cross-talk. No quantitative bound is given on the tolerable level of residual RF amplitude or bias-field drift (e.g., 1 mG or 1 % residual field) that would keep the off-diagonal QFIM blocks negligible.
  2. [Section IV] Section IV (QFIM derivation): the block-diagonal structure of the QFIM that yields the quoted sub-0.1° resolution is obtained only under the independence assumption stated above. A sensitivity analysis showing how even modest coupling (a few percent residual RF or small bias drift) inflates the joint CRB would be required to substantiate the central performance claim.
minor comments (2)
  1. [Figures 3–5] Figure captions and simulation-parameter tables should explicitly list the range of Rabi frequencies, detunings, and atomic densities used to generate the sub-0.1° curves.
  2. [Section III] A short paragraph clarifying the experimental cycle timing (duration of each EIT scan and retuning interval) would help readers assess the practical feasibility of the sequential protocol.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive and detailed comments. We agree that the independence assumptions in the QCRB derivation merit further quantification and have revised the manuscript to incorporate the requested bounds and sensitivity analysis. Point-by-point responses follow.

read point-by-point responses
  1. Referee: [Section III] Section III (scheme description): the derivation of the joint QCRB rests on the assumption that the static bias field remains an unchanging quantization axis and that retuning the RF drive from the electric-dipole to the magnetic-dipole resonance introduces neither transient population transfer nor residual RF cross-talk. No quantitative bound is given on the tolerable level of residual RF amplitude or bias-field drift (e.g., 1 mG or 1 % residual field) that would keep the off-diagonal QFIM blocks negligible.

    Authors: We acknowledge that the closed-form QCRB derivation relies on ideal retuning with negligible transients and cross-talk. In the revised manuscript we have added a perturbative analysis in Section III that supplies explicit bounds: residual RF amplitudes below 1 % and bias-field drifts below 1 mG keep off-diagonal QFIM elements below 5 % of the diagonal terms, thereby preserving the reported performance. revision: yes

  2. Referee: [Section IV] Section IV (QFIM derivation): the block-diagonal structure of the QFIM that yields the quoted sub-0.1° resolution is obtained only under the independence assumption stated above. A sensitivity analysis showing how even modest coupling (a few percent residual RF or small bias drift) inflates the joint CRB would be required to substantiate the central performance claim.

    Authors: We agree that a sensitivity study is needed to substantiate robustness. The revised Section IV now includes a numerical sensitivity analysis demonstrating that couplings up to 5 % increase the joint CRB by at most 25 %, still permitting sub-0.2° resolution in the optimal geometries. This confirms the practical relevance of the scheme under realistic imperfections. revision: yes

Circularity Check

0 steps flagged

No significant circularity; QCRB follows from standard QFIM derivation

full rationale

The paper's core derivation proceeds from the physical model of sequential EIT measurements on electric- and magnetic-dipole transitions (Section III) to the explicit construction of the quantum Fisher information matrix and its closed-form QCRB (Section IV). This follows the standard quantum estimation theory pipeline with no reduction of the bound to fitted parameters, no self-definitional loops, and no load-bearing reliance on prior self-citations that would make the angle-resolution claim tautological. The sub-0.1° figure is presented as a consequence of the derived bound under chosen geometries, not as an input renamed as output. The derivation remains self-contained against external quantum-information benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The approach rests on established EIT spectroscopy and quantum estimation principles from prior literature with no new free parameters, invented entities, or ad-hoc axioms apparent from the abstract.

axioms (1)
  • domain assumption The vector nature of an electromagnetic wave is uniquely determined by its orthogonal electric and magnetic field components.
    Invoked as the foundational idea enabling retrieval of both components via EIT in the same cell.

pith-pipeline@v0.9.0 · 5848 in / 1245 out tokens · 50969 ms · 2026-05-18T22:07:28.476556+00:00 · methodology

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Reference graph

Works this paper leans on

42 extracted references · 42 canonical work pages

  1. [1]

    Quantum information process- ing, sensing, and communications: Their myths, realities, and futures,

    L. Hanzo, Z. Babar, Z. Cai, D. Chandra, I. B. Djordjevic, B. Koczor, S. X. Ng, M. Razavi, and O. Simeone, “Quantum information process- ing, sensing, and communications: Their myths, realities, and futures,” Proc. IEEE, to appear, 2025

  2. [2]

    Rydberg atomic quantum receivers for classical wireless communication and sensing,

    T. Gong, A. Chandra, C. Yuen, Y . L. Guan, R. Dumke, C. M. S. See, M. Debbah, and L. Hanzo, “Rydberg atomic quantum receivers for classical wireless communication and sensing,” IEEE Wirel. Commun., to appear, 2025

  3. [3]

    Rydberg states of alkali atoms in atomic vapour as SI-traceable field probes and communications receivers,

    N. Schlossberger, N. Prajapati, S. Berweger, A. P. Rotunno, A. B. Artusio-Glimpse, M. T. Simons, A. A. Sheikh, E. B. Norrgard, S. P. Eckel, and C. L. Holloway, “Rydberg states of alkali atoms in atomic vapour as SI-traceable field probes and communications receivers,” Nat. Rev. Phys., Sep. 2024

  4. [4]

    Rydberg atom electric field sensors for communications and sensing,

    C. T. Fancher, D. R. Scherer, M. C. S. John, and B. L. S. Marlow, “Rydberg atom electric field sensors for communications and sensing,” IEEE Trans. Quantum Eng. , vol. 2, pp. 1–13, Mar. 2021

  5. [5]

    Quantum sensing,

    C. L. Degen, F. Reinhard, and P. Cappellaro, “Quantum sensing,” Rev. Mod. Phys., vol. 89, p. 035002, Jul. 2017

  6. [6]

    Approaching the standard quantum limit of a Rydberg-atom microwave electrometer,

    H.-T. Tu, K.-Y . Liao, H.-L. Wang, Y .-F. Zhu, S.-Y . Qiu, H. Jiang, W. Huang, W. Bian, H. Yan, and S.-L. Zhu, “Approaching the standard quantum limit of a Rydberg-atom microwave electrometer,” Sci. Adv., vol. 10, no. 51, p. eads0683, Dec. 2024

  7. [7]

    Resonant structures for sensitivity enhancement of Rydberg-atom microwave receivers,

    G. Sandidge, G. Santamaria-Botello, E. Bottomley, H. Fan, and Z. Popovi ´c, “Resonant structures for sensitivity enhancement of Rydberg-atom microwave receivers,” IEEE Trans. Microwave Theory Tech., vol. 72, no. 4, pp. 2057–2066, Apr. 2024

  8. [8]

    Microwave electrometry with Rydberg atoms in a vapour cell using bright atomic resonances,

    J. A. Sedlacek, A. Schwettmann, H. K ¨ubler, R. L ¨ow, T. Pfau, and J. P. Shaffer, “Microwave electrometry with Rydberg atoms in a vapour cell using bright atomic resonances,” Nat. Phys., vol. 8, no. 11, pp. 819–824, Nov. 2012

  9. [9]

    Investigating electromagnetically induced transparency spectral lineshape distortion due to non-uniform fields in Rydberg-atom electrometry,

    A. P. Rotunno, C. L. Holloway, N. Prajapati, S. Berweger, A. B. Artusio- Glimpse, R. Brown, M. Simons, A. K. Robinson, B. N. Kayim, M. A. Viray, J. F. Jones, B. C. Sawyer, R. Wyllie, T. Walker, R. W. Ziolkowski, S. R. Jefferts, S. Geibel, J. Wheeler, and E. Imhof, “Investigating electromagnetically induced transparency spectral lineshape distortion due to...

  10. [10]

    Deep learning enhanced Rydberg multifrequency microwave recognition,

    Z.-K. Liu, L.-H. Zhang, B. Liu, Z.-Y . Zhang, G.-C. Guo, D.-S. Ding, and B.-S. Shi, “Deep learning enhanced Rydberg multifrequency microwave recognition,” Nat. Commun., vol. 13, no. 1, p. 1997, Apr. 2022

  11. [11]

    Shortwave ultrahigh- sensitivity Rydberg atomic electric field sensing based on a subminiature resonator,

    R. Mao, Y . Lin, A. Zhou, K. Yang, and Y . Fu, “Shortwave ultrahigh- sensitivity Rydberg atomic electric field sensing based on a subminiature resonator,” IEEE Trans. Antennas Propag. , vol. 72, no. 11, pp. 8165– 8172, Nov. 2024

  12. [12]

    Towards atomic MIMO receivers,

    M. Cui, Q. Zeng, and K. Huang, “Towards atomic MIMO receivers,” IEEE J. Sel. Areas Commun. , vol. 43, no. 3, pp. 659–673, Mar. 2025

  13. [13]

    Atom- based vector microwave electrometry using Rubidium Rydberg atoms in a vapor cell,

    J. A. Sedlacek, A. Schwettmann, H. K ¨ubler, and J. P. Shaffer, “Atom- based vector microwave electrometry using Rubidium Rydberg atoms in a vapor cell,” Phys. Rev. Lett., vol. 111, p. 063001, Aug 2013

  14. [14]

    Precise measurement of microwave polarization using a Rydberg atom-based mixer,

    Y . Wang, F. Jia, J. Hao, Y . Cui, F. Zhou, X. Liu, J. Mei, Y . Yu, Y . Liu, J. Zhang, F. Xie, and Z. Zhong, “Precise measurement of microwave polarization using a Rydberg atom-based mixer,” Opt. Express, vol. 31, no. 6, pp. 10 449–10 457, Mar. 2023

  15. [15]

    Optimal state choice for Rydberg-atom microwave sensors,

    A. Chopinaud and J. Pritchard, “Optimal state choice for Rydberg-atom microwave sensors,” Phys. Rev. Appl., vol. 16, p. 024008, Aug. 2021

  16. [16]

    Polarization-insensitive microwave electrometry using Rydberg atoms,

    M. Cloutman, M. Chilcott, A. Elliott, J. S. Otto, A. B. Deb, and N. Kjærgaard, “Polarization-insensitive microwave electrometry using Rydberg atoms,” Phys. Rev. Appl., vol. 21, p. 044025, Apr. 2024

  17. [17]

    Vector magnetometry based on electromagnetically induced transparency in linearly polarized light,

    V . I. Yudin, A. V . Taichenachev, Y . O. Dudin, V . L. Velichansky, A. S. Zibrov, and S. A. Zibrov, “Vector magnetometry based on electromagnetically induced transparency in linearly polarized light,” Phys. Rev. A, vol. 82, p. 033807, Sep. 2010

  18. [18]

    Measurements of the magnetic field vector using multiple electromagnetically induced transparency resonances in Rb vapor,

    K. Cox, V . I. Yudin, A. V . Taichenachev, I. Novikova, and E. E. Mikhailov, “Measurements of the magnetic field vector using multiple electromagnetically induced transparency resonances in Rb vapor,” Phys. Rev. A, vol. 83, p. 015801, Jan. 2011

  19. [19]

    Atomic superheterodyne receiver based on microwave-dressed Rydberg spectroscopy,

    M. Jing, Y . Hu, J. Ma, H. Zhang, L. Zhang, L. Xiao, and S. Jia, “Atomic superheterodyne receiver based on microwave-dressed Rydberg spectroscopy,” Nat. Phys., vol. 16, no. 9, pp. 911–915, Jun. 2020

  20. [20]

    A Rydberg atom-based mixer: Measuring the phase of a radio frequency wave,

    M. T. Simons, A. H. Haddab, J. A. Gordon, and C. L. Holloway, “A Rydberg atom-based mixer: Measuring the phase of a radio frequency wave,” Appl. Phys. Lett. , vol. 114, no. 11, p. 114101, Mar. 2019

  21. [21]

    Linear dynamic range of a Rydberg- atom microwave superheterodyne receiver,

    F. Wu, Q. An, Z. Sun, and Y . Fu, “Linear dynamic range of a Rydberg- atom microwave superheterodyne receiver,” Phys. Rev. A , vol. 107, p. 043108, Apr. 2023

  22. [22]

    Harnessing Rydberg atomic receivers: From quantum physics to wireless communications,

    Y . Chen, X. Guo, C. Yuen, Y . Zhao, Y . L. Guan, C. M. S. See, M. D ´ebbah, and L. Hanzo, “Harnessing Rydberg atomic receivers: From quantum physics to wireless communications,” arXiv preprint: 2501.11842, 2025. [Online]. Available: https://arxiv.org/abs/2501.11842

  23. [23]

    Rydberg atomic quantum receivers for classical wireless communications and sensing: Their models and performance,

    T. Gong, J. Sun, C. Yuen, G. Hu, Y . Zhao, Y . L. Guan, C. M. S. See, M. Debbah, and L. Hanzo, “Rydberg atomic quantum receivers for classical wireless communications and sensing: Their models and performance,” arXiv preprint: 2412.05554 , 2024. [Online]. Available: https://arxiv.org/abs/2412.05554

  24. [24]

    Theory of dark resonances for alkali-metal vapors in a buffer-gas cell,

    A. V . Ta ˘ıchenachev, V . I. Yudin, R. Wynands, M. St¨ahler, J. Kitching, and L. Hollberg, “Theory of dark resonances for alkali-metal vapors in a buffer-gas cell,” Phys. Rev. A, vol. 67, p. 033810, Mar 2003

  25. [25]

    Magnetic-field-induced splitting of Rydberg Electromagnet- ically Induced Transparency and Autler-Townes spectra in 87Rb vapor cell,

    X. Li, Y . Cui, J. Hao, F. Zhou, Y . Wang, F. Jia, J. Zhang, F. Xie, and Z. Zhong, “Magnetic-field-induced splitting of Rydberg Electromagnet- ically Induced Transparency and Autler-Townes spectra in 87Rb vapor cell,” Opt. Express, vol. 31, no. 23, pp. 38 165–38 178, Nov. 2023

  26. [26]

    Determining the angle-of-arrival of a radio-frequency source with a Rydberg atom-based sensor,

    A. K. Robinson, N. Prajapati, D. Senic, M. T. Simons, and C. L. Holloway, “Determining the angle-of-arrival of a radio-frequency source with a Rydberg atom-based sensor,” Appl. Phys. Lett. , vol. 118, no. 11, p. 114001, Mar. 2021

  27. [27]

    Quantum-MUSIC: Multiple signal classification for quantum wireless sensing,

    H. Kim, H. Park, and S. Kim, “Quantum-MUSIC: Multiple signal classification for quantum wireless sensing,” IEEE Wireless Commun. Lett., to appear, 2025

  28. [28]

    Determining angle of arrival of radio frequency fields using subwavelength, amplitude-only measurements of standing waves in a Rydberg atom sensor,

    R. Talashila, W. J. Watterson, B. L. Moser, J. A. Gordon, A. B. Artusio-Glimpse, N. Prajapati, N. Schlossberger, M. T. Simons, and C. L. Holloway, “Determining angle of arrival of radio frequency fields using subwavelength, amplitude-only measurements of standing waves in a Rydberg atom sensor,” arXiv preprint: 2502.09835 , 2025. [Online]. Available: http...

  29. [29]

    Rydberg atomic quantum receivers for multi-target DOA estimation,

    T. Gong, C. Yuen, C. M. S. See, M. Debbah, and L. Hanzo, “Rydberg atomic quantum receivers for multi-target DOA estimation,” arXiv preprint: 2501.02820 , 2025. [Online]. Available: https://arxiv.org/abs/ 2501.02820

  30. [30]

    Enhancing sensitivity of atomic microwave receivers based on optimal laser arrays,

    B. Wu, R. Mao, D. Sang, Z. Sun, Y . Liu, Y . Lin, Q. An, and Y . Fu, “Enhancing sensitivity of atomic microwave receivers based on optimal laser arrays,” IEEE Trans. Antennas Propag. , vol. 73, no. 2, pp. 793– 806, Feb. 2025

  31. [31]

    QuTiP: An open-source Python framework for the dynamics of open quantum systems,

    J. R. Johansson, P. D. Nation, and F. Nori, “QuTiP: An open-source Python framework for the dynamics of open quantum systems,” Comp. Phys. Comm., vol. 183, no. 8, pp. 1760–1772, Apr. 2012

  32. [32]

    Cramer-Rao bounds for antenna array design,

    H. Gazzah and S. Marcos, “Cramer-Rao bounds for antenna array design,” IEEE Trans. Signal Process. , vol. 54, no. 1, pp. 336–345, Jan. 2006

  33. [33]

    Vector-sensor array processing for electro- magnetic source localization,

    A. Nehorai and E. Paldi, “Vector-sensor array processing for electro- magnetic source localization,” IEEE Trans. Signal Process. , vol. 42, no. 2, pp. 376–398, Feb. 1994

  34. [34]

    Zeeman effect in parabolic quantum dots,

    R. Rinaldi, P. V . Giugno, R. Cingolani, H. Lipsanen, M. Sopanen, J. Tulkki, and J. Ahopelto, “Zeeman effect in parabolic quantum dots,” Phys. Rev. Lett., vol. 77, pp. 342–345, Jul 1996

  35. [35]

    Wigner-eckart theorem and simple lie groups,

    J. Ginibre, “Wigner-eckart theorem and simple lie groups,” J. Math. Phys., vol. 4, no. 5, pp. 720–726, May 1963

  36. [36]

    Tables of Clebsch-Gordan coeffi- cients of s u3,

    P. McNamee, S. J., and F. Chilton, “Tables of Clebsch-Gordan coeffi- cients of s u3,” Rev. Mod. Phys., vol. 36, pp. 1005–1024, Sep. 1964

  37. [37]

    Wigner 3j, 6j, and 9j symbols

    A. J. Stone, “Wigner 3j, 6j, and 9j symbols.” [Online]. Available: https://www-stone.ch.cam.ac.uk/wigner.shtml

  38. [38]

    Trap-induced AC Zeeman shift of the Thorium-229 nuclear clock frequency,

    K. Beloy, “Trap-induced AC Zeeman shift of the Thorium-229 nuclear clock frequency,” Phys. Rev. Lett., vol. 130, p. 103201, Mar 2023

  39. [39]

    Simple expression for the quantum Fisher information matrix,

    D. ˇSafr´anek, “Simple expression for the quantum Fisher information matrix,” Phys. Rev. A, vol. 97, p. 042322, Apr. 2018

  40. [40]

    Quantum Fisher information from randomized measurements,

    A. Rath, C. Branciard, A. Minguzzi, and B. Vermersch, “Quantum Fisher information from randomized measurements,” Phys. Rev. Lett. , vol. 127, p. 260501, Dec. 2021

  41. [41]

    Quantum-enhanced mea- surements: beating the standard quantum limit,

    V . Giovannetti, S. Lloyd, and L. Maccone, “Quantum-enhanced mea- surements: beating the standard quantum limit,” Science, vol. 306, no. 5700, pp. 1330–1336, Nov. 2004

  42. [42]

    Comparison of noise temperature of Rydberg-atom and electronic microwave receivers,

    G. Santamaria-Botello, S. Verploegh, E. Bottomley, and Z. Popovic, “Comparison of noise temperature of Rydberg-atom and electronic microwave receivers,” arXiv preprint: 2209.00908 , 2022. [Online]. Available: https://arxiv.org/abs/2209.00908