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A sufficiently long vapor cell turns a Rydberg atomic receiver into a directional, LO-steered beamformer, with half-power beamwidth inversely proportional to cell length.

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2026-08-03 07:58 UTC pith:NIDRB2WZ

load-bearing objection The continuous-cell beamforming result is solid and worth knowing; the segmental O(M) gain is not proven because the uncorrelated-BBR assumption fails for the simulated parameters. the 2 major comments →

arxiv 2601.18426 v2 pith:NIDRB2WZ submitted 2026-01-26 quant-ph cs.ITmath.IT

A Theory of Atomic Beamforming

Mingyao Cui , Qunsong Zeng , Kaibin Huang This is my paper
classification quant-ph cs.ITmath.IT
keywords Rydberg atomic receiveratomic beamformingvapor celllocal oscillatorblackbody radiationphoton shot noisesegmental vapor cellreceive beam pattern
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

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

This paper argues that the standard local-oscillator-dressed Rydberg atomic receiver, when its vapor cell is long compared to the radio wavelength, does not behave as an isotropic point sensor. Instead, the spatial variation of the atomic quantum state along the cell makes the receiver directional: it forms a receive beam pointing along the LO direction, with beamwidth 0.886λ_l/L. This means a single vapor cell can perform beamforming without a phased array of antennas, improving signal-to-noise ratio and rejecting off-axis interference. To avoid laser attenuation that limits long continuous cells, the paper proposes a segmented vapor cell that keeps total cell length fixed while expanding the effective aperture, yielding a narrower beam and, in the blackbody-limited regime, a gain that grows linearly with the number of segments.

Core claim

The key discovery is that the signal current in an LO-dressed Rydberg receiver is proportional to the integral of the phase-shifted signal field along the vapor cell, with the LO's spatial phase profile acting as the phase shifter. This integral produces a sinc factor, so the received signal power follows a sinc²(L(θ_s−θ_l)/λ_l) pattern. Consequently, a long vapor cell behaves as a continuous phased array whose beam is centered on the LO direction, and the half-power beamwidth is 0.886λ_l/L. A segmented cell, composed of short segments separated by clear-air gaps, multiplies the segment pattern with an array factor, giving a beamwidth of roughly 0.886λ_l/(M d_e) and an O(M) beamforming gain

What carries the argument

The central object is the line integral in Eq. (22): ΔI_s(t) ∝ ∫₀ᴸ Re{E_s(t,z)e^{−j∠E_l(t,z)}} dz, where ∠E_l(t,z) is the LO's spatial phase. This integral turns the vapor cell into a continuous phased array and is what generates the sinc factor in the gain pattern. For the segmented cell, the pattern is the product of a segment pattern sinc²(d_sθδ/λ_l) and an array factor Ξ²_M(d_eθδ/λ_l), illustrating the principle of pattern multiplication.

Load-bearing premise

The derivation assumes the incident RF fields—signal, LO, and blackbody radiation—remain unperturbed plane waves at every point in the cell, and that the atomic absorption coefficient χ_l is constant along the cell, so the quantum state response factorizes into a position-dependent phase multiplied by a global e^{−χ_lL} attenuation; if the atomic medium back-acts on the RF fields or the probe laser absorption makes χ_l vary with z, the sinc² pattern and the predicted beamform

What would settle it

Measure the received signal power from a fixed LO direction as a function of signal arrival angle θ_s for a vapor cell of known length L and wavelength λ_l; the theory predicts a sinc²(L(θ_s−θ_l)/λ_l) pattern with a half-power beamwidth of 0.886λ_l/L. If the measured beamwidth does not track 1/L or the pattern shape deviates significantly, the core claim is wrong. For the segmental cell, compare the noise power for different gap sizes: the O(M) gain relies on blackbody fields in separate segments being uncorrelated, so if the noise power as a function of M does not drop as roughly 1/M when seg

Watch this falsifier. Get emailed when new claim-graph text bears on it.

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If this is right

  • A single vapor cell of length L acts as a directional receive antenna with half-power beamwidth 0.886λ_l/L, so beam steering can be achieved by mechanically rotating the LO source.
  • In the blackbody-radiation-limited regime, the beamforming gain of a continuous cell grows linearly with L; in the photon-shot-noise-limited regime it decays exponentially because of laser attenuation, so an optimal cell length exists.
  • A segmented vapor cell with fixed total length L and M segments narrows the beam to about 0.886λ_l/(M d_e) and, when segments are short, raises the blackbody-limited SNR by a factor of M without increasing laser attenuation.
  • The directional pattern suppresses signals arriving away from the LO direction, so interference mitigation and spatial multiple access become possible with a single quantum receiver.
  • The continuous-cell and segmental-cell SNR expressions (Eqs. 27 and 47) provide closed-form scaling laws that can be used to choose cell length and segment count in practical receiver design.

Where Pith is reading between the lines

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

  • The same spatial-phase-integration mechanism may apply to other quantum sensors that use a strong reference field and a distributed readout, suggesting that magnetometers or electrometer arrays could also be turned into beamformers.
  • The segmental architecture could be extended to two-dimensional layouts—segments placed in a plane rather than a line—to synthesize a larger two-dimensional aperture while keeping laser path length and attenuation fixed.
  • The paper's segmental analysis assumes blackbody radiation fields in different segments are uncorrelated (stated in Section IV-A.2 and used in Appendix B). That assumption is only accurate when segment separations sit near correlation nulls of the noise field, so the O(M) gain is tied to choosing gaps such as near multiples of the correlation null.
  • A direct experimental falsifier would be to scan a point RF source around a single vapor cell and check whether the received signal power follows the predicted sinc² pattern; if the HPBW does not scale as 0.886λ_l/L, the central mechanism is not correct.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

2 major / 5 minor

Summary. This paper develops a spatially resolved signal and noise model for an LO-dressed Rydberg atomic receiver. Starting from the standard Lindblad/Beer-Lambert framework and a first-order expansion in the weak signal and BBR fields, it shows that a continuous vapor cell of length L behaves as a continuous phased aperture: the signal photocurrent is proportional to L sinc(L(θ_s-θ_l)/λ_l), producing a sinc^2 reception pattern with HPBW 0.886 λ_l/L and hence ``single-antenna atomic beamforming'' steered by the LO direction. The paper analyzes BBR-limited and photon-shot-noise-limited regimes and identifies an optimal cell length that balances coherent signal integration against laser attenuation. To overcome attenuation-limited gain, it then proposes a segmented vapor cell with clear-air gaps; the pattern factor becomes sinc^2(d_s θ_δ/λ_l) Ξ_M^2(d_e θ_δ/λ_l), with HPBW 0.886 λ_l/(M d_e), and the paper claims an O(M) BBR-regime SNR gain. Numerical results illustrate beam patterns, SNR scaling, and interference mitigation.

Significance. The continuous-cell derivation is a genuine step beyond the isotropic point-receiver approximation used in earlier RARE literature: it is transparent, has no fitted parameters, and yields a falsifiable prediction (sinc^2 pattern and inverse-length beamwidth scaling). The BBR/PSN tradeoff and the segmental pattern-multiplication formula are useful design insights. The paper also gives concrete numerical settings, which makes the claims checkable. However, the most striking segmental claim—the O(M) BBR-regime gain—rests on an uncorrelated-BBR assumption that is not consistent with the paper's own spatial correlation model for the simulated parameters. This is a load-bearing issue for the segmental architecture and for several of the conclusions. The framework is best viewed as a first-order theory; back-action of the atoms on the RF fields and z-dependent laser attenuation are not modeled, so quantitative validity in dense or highly absorbing cells remains open.

major comments (2)
  1. [Appendix B, Eq. (54)(a); Section IV-B, Eq. (49)] The O(M) BBR-regime gain is derived by assuming that BBR fields at different cell segments are uncorrelated, but this is not a consequence of the paper's own model Eq. (4), which gives E[E_n(t,z) E_n^*(t,z')] = Λ(f_l) sinc(2(z-z')/λ_l) δ(t-t'). For the parameters used in Fig. 7(a) (L=20 cm, M=10, d_g=1 cm, λ_l=4.32 cm), the minimum separation between adjacent segments is d_g=1 cm≈0.23λ_l, for which sinc(2d_g/λ_l)≈0.68; the cross-segment integrals over r∈[d_g, d_g+2d_s] are clearly not negligible. The d_e=λ_l/2 choices of Fig. 6 and Fig. 7(b) are only special cases and still leave nonzero cross terms for moderate M. Thus Eq. (45) and the SNR_bbr≃M E_s^2 T_s/Λ(f_l) result in Eq. (49) are not established for general gap/length choices. The authors should either derive the exact BBR covariance from Eq. (4), restrict the O(M) claim to parameter regimes where the cross terms are provably negli
  2. [Section IV-B, Eq. (47); Figure 7(a)] The numerical validation of the O(M) scaling is circular for the uncorrelated-segment assumption. The ``true SNR'' in Eq. (47) already embeds the same assumption through Eq. (45)/(54)(a), so Fig. 7(a) cannot independently confirm Eq. (49). A non-circular validation would require simulating or computing the BBR noise from the full spatial correlation of Eq. (4), including cross-segment terms, or comparing Eq. (47) with an exact expression. Without this, the agreement between the asymptotic and ``true'' curves in Fig. 7(a) only checks algebraic consistency of the simplified model.
minor comments (5)
  1. [Section II-C, Eqs. (16)-(19)] The terminology ``power density'' for N_bbr and N_psn is imprecise: P_s is a signal energy (A^2·s) and N_bbr is obtained by integrating a correlation function, so it is better described as a noise energy in the matched-filter window or as the zero-frequency PSD with units A^2/Hz. Please clarify the matched-filter convention so that Eq. (16) is dimensionally transparent.
  2. [Section IV-B, Remark 4] Remark 4 states that the total SNR ``improves monotonically'' with M, but Section IV-C and Fig. 7(a) show that in the long-segment regime the SNR is approximately constant until d_s becomes comparable to λ_l, after which it grows linearly. The statement should be qualified to the short-segment regime, or reworded to describe the piecewise behavior.
  3. [Section III-B and Figure 4] For L=1 cm the pattern is said to have HPBW nearly 2π. An isotropic pattern has no well-defined half-power beamwidth; the text should say the pattern is approximately isotropic rather than assigning a HPBW.
  4. [Section III-A, Eq. (22)] The term κ(θ_δ) is called an intrinsic gain but has units of length and includes L; the paper later refers to beamforming gain without defining a baseline. It would help to define the gain relative to a reference point receiver or to a short-cell RARE.
  5. [Section II and III] The model assumes a constant attenuation coefficient χ_l and unperturbed plane-wave RF fields throughout the cell. For long cells with strong absorption (e.g., L=20 cm with χ_l=42.4 m^-1 gives e^{-χ_l L}≈2×10^-4), a z-dependent χ_l or partial back-action could be non-negligible. A brief limitations paragraph acknowledging this would strengthen the paper.

Circularity Check

0 steps flagged

No significant circularity: the sinc^2 beam pattern and HPBW follow by direct integration of the LO-relative phase with only a first-order susceptibility expansion; the O(M) segmental gain is an explicitly stated assumption rather than a fitted or self-cited prediction.

full rationale

The central beamforming claim is derived in place rather than imported. Starting from the standard superheterodyne/Lindblad model [8], Eq. (20) linearly expands the susceptibility around the LO, and Eq. (22) evaluates the cell integral as L sinc(Lθδ/λl), giving the receive pattern G(θδ)=sinc^2(Lθδ/λl) in Eq. (35) and the HPBW θ_HPBW=0.886λl/L in Eq. (36). No parameter is fitted to beam-pattern data, and the result is a mathematical consequence of the assumed plane-wave phase profiles and the first-order expansion; the cited quantum-state and noise models ([8], [28], [31], [34]) are independent external inputs. The BBR noise derivations in Appendix A are explicit integrals of the stated autocorrelation model in Eq. (4), so they are also transparent consequences of the model. The one assumption-loaded step is the segmental O(M) claim: Sec. IV-A2 says 'we assume that BBR fields at different cell segments are uncorrelated for ease of discussion', and Appendix B Eq. (54)(a) invokes the same assumption ('because the BBR fields among different cells are uncorrelated'). Eq. (49)'s SNR_bbr = O(M) follows from that assumption together with the coherent signal summation, and the 'true SNR' formula (47) embeds the same assumption, so Fig. 7 does not independently validate the O(M) scaling. This is a modeling limitation and a correctness/validation concern, not a circular derivation: the paper does not disguise the assumption as a prediction, fit a parameter, or obtain the gain from the same data used to test it. Self-citations [4], [11], [14], [17] are contextual; the photocurrent decomposition (15) cites [14] but is re-derived from the Taylor expansion in Eqs. (20)-(21), so the self-citation is not load-bearing. Overall, the core beamforming result is self-contained and non-circular, and the main caveat is confined to a clearly labeled assumption in the segmental sub-claim.

Axiom & Free-Parameter Ledger

0 free parameters · 7 axioms · 0 invented entities

The central derivation uses the standard Lindblad master equation and a first-order expansion in the weak signal; no numerical constants are fit to data. The only ad hoc modeling choice with direct impact on the claimed gain is the uncorrelated-segment BBR assumption. No new physical entities are postulated.

axioms (7)
  • domain assumption Plane-wave far-field RF fields with k_s ≈ k_l (Eq. 3a)
    The spatial phase profile of signal and LO is assumed linear and unperturbed along the cell; valid for weakly interacting vapor and small frequency offset.
  • domain assumption Strong LO approximation and first-order linearization of susceptibility (Eq. 20)
    Assumes Ω_l ≫ |Ω_s,n| so χ(Ω) ≈ χ_l + χ̇_l Re{Ω_s+Ω_n}; central to deriving the beam pattern.
  • domain assumption BBR noise field correlation sinc(2Δz/λ_l) (Eq. 4)
    Adopted from [31], [32]; this spatial correlation model determines the L vs L² noise scaling that underlies the beamforming gain.
  • domain assumption Probe-laser transmission integrates local susceptibility exponentially (Beer-Lambert, Eq. 12)
    Assumes the measured photocurrent is determined by an exponential integral of position-dependent absorption, with no local field feedback.
  • ad hoc to paper BBR fields at different vapor-cell segments are uncorrelated (Eq. 54a)
    Explicitly assumed 'for ease of discussion' in Appendix B; not justified for arbitrary gap sizes and affects the O(M) gain.
  • standard math First-order Taylor expansion of e^{-x} (Eq. 21a)
    Used to decompose the exponential into zero- and first-order photocurrent terms.
  • standard math Lindblad master equation with the four-level Hamiltonian (Eqs. 6-7)
    Standard quantum-optics evolution model for the Rydberg receiver, consistent with prior literature [8].

pith-pipeline@v1.3.0-alltime-deepseek · 20978 in / 23043 out tokens · 237288 ms · 2026-08-03T07:58:58.727863+00:00 · methodology

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Cite this review

Pith. "Pith review of A Theory of Atomic Beamforming." pith.science (2026). https://pith.science/paper/NIDRB2WZ

@misc{pith2026260118426,
  author       = {Pith},
  title        = {Pith review of: A Theory of Atomic Beamforming},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/NIDRB2WZ}},
  note         = {Machine review of arXiv:2601.18426}
}
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read the original abstract

Leveraging the quantum advantages of highly excited atoms, Rydberg atomic receivers (RAREs) represent a paradigm shift in microwave detection with extremely high sensitivity and broadband tunability. However, existing studies often model RAREs as isotropic point receivers and neglect the spatial variation of Rydberg atomic states within vapor cells, which can lead to inaccurate characterization of their reception patterns. To address this issue, we theoretically analyze the spatial response of a local-oscillator (LO) field-dressed RARE. Our results reveal that as the vapor-cell length increases, a receiving beam aligned with the LO field is formed, and its beamwidth is inversely proportional to the cell length. This finding enables atomic beamforming with only a single atomic vapor cell to enhance signal-to-noise ratio. Furthermore, we analyze the maximum beamforming gain of a single vapor cell by balancing the fundamental tradeoff between improved spatial selectivity and increased laser attenuation in the atomic medium as the vapor cell length becomes longer. To mitigate the beamforming-gain loss caused by laser attenuation, we further propose a segmental-vapor-cell architecture. In this architecture, multiple short vapor cells are arranged along the optical propagation path and separated by clear-air gaps. This design effectively expands the reception aperture while keeping the total vapor-cell length, and hence attenuation loss, fixed. As a result, it achieves a narrower beamwidth and higher beamforming gain than a conventional single-vapor-cell receiver, as demonstrated by extensive numerical results.

Figures

Figures reproduced from arXiv: 2601.18426 by Kaibin Huang, Mingyao Cui, Qunsong Zeng.

Figure 1
Figure 1. Figure 1: (a) Atomic energy levels and (b) architecture of a Rydberg atomic receiver . [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Long vapor cell as an atomic beamformer. [PITH_FULL_IMAGE:figures/full_fig_p006_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Architecture of a segmental vapor cell. dg, without increasing the attenuation distance of light, L. It can thereby provide a narrower beamwidth and higher beamforming gain than the continuous-cell architecture. A. Mathematical Characterization of Signal, Noise, and SNR We provide a mathematical characterization of the received signals and noises with a segmental vapor cell. A single pair of laser beams si… view at source ↗
Figure 4
Figure 4. Figure 4: Antenna patterns of continuous vapor cells. The LO’s incident directions are set as [PITH_FULL_IMAGE:figures/full_fig_p010_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Influence of length, L, of a continuous vapor cell on SNR. (a) Evaluations of asymptotic SNRs for short and long cells. (b) Evaluations of SNRs in BBR and PSN regimes [PITH_FULL_IMAGE:figures/full_fig_p010_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Antenna patterns of segmental vapor cells. The LO’s incident directions are set as [PITH_FULL_IMAGE:figures/full_fig_p011_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Influence of the numbers of segments, M, on SNRs. (a) Evaluations of asymptotic SNRs for short and long cells. (b) Evaluations of SNRs in BBR and PSN regimes [PITH_FULL_IMAGE:figures/full_fig_p011_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Channel capacities as functions of the number of segments and the [PITH_FULL_IMAGE:figures/full_fig_p012_8.png] view at source ↗

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Reference graph

Works this paper leans on

39 extracted references · 2 linked inside Pith · cited by 3 Pith papers

  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, pp. 1–51, 2025

    2025

  2. [2]

    Quantum sensing,

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

    2017

  3. [3]

    Distributed quantum sensing,

    Z. Zhang and Q. Zhuang, “Distributed quantum sensing,”Quantum Sci.d Technol., vol. 6, no. 4, p. 043001, jul 2021

    2021

  4. [4]

    Rydberg atomic receiver: Next frontier of wireless communications,

    M. Cui, Q. Zeng, and K. Huang, “Rydberg atomic receiver: Next frontier of wireless communications,”IEEE Commun. Mag., 2025

    2025

  5. [5]

    Atom based RF electric field sensing,

    H. Fan, S. Kumar, J. Sedlacek, H. K ¨ubler, S. Karimkashi, and J. P. Shaffer, “Atom based RF electric field sensing,”J. Phys. B: At. Mol. Opt. Phys., vol. 48, no. 20, p. 202001, Sep. 2015

    2015

  6. [6]

    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

    2012

  7. [7]

    Thermal agitation of electric charge in conductors,

    H. Nyquist, “Thermal agitation of electric charge in conductors,”Phys. Rev., vol. 32, no. 1, pp. 110–113, Jul. 1928

    1928

  8. [8]

    Atomic superheterodyne receiver based on microwave-dressed Rydberg spectroscopy,

    M. Jing, Y . H. Hu, J. Ma, H. Zhang, L. Zhang, L. Xiao, and S. Jia, “Atomic superheterodyne receiver based on microwave-dressed Rydberg spectroscopy,”Nat. Phys., vol. 1, pp. 911–915, Jun. 2020

    2020

  9. [9]

    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. Microw. Theory Techn., vol. 72, no. 4, pp. 2057–2066, Apr. 2024

    2057

  10. [10]

    Super low- frequency electric field measurement based on rydberg atoms,

    L. Li, Y . Jiao, J. Hu, H. Li, M. Shi, J. Zhao, and S. Jia, “Super low- frequency electric field measurement based on rydberg atoms,”Opt. Express, vol. 31, no. 18, pp. 29 228–29 234, Aug. 2023

    2023

  11. [11]

    Rydberg atomic re- ceivers for multi-band communications and sensing,

    M. Cui, Q. Zeng, Z. Wang, and K. Huang, “Rydberg atomic re- ceivers for multi-band communications and sensing,”arXiv preprint arXiv:2505.24168, May 2025

    arXiv 2025

  12. [12]

    Quantum- based si traceable electric-field probe,

    J. A. Gordon, C. L. Holloway, S. Jefferts, and T. Heavner, “Quantum- based si traceable electric-field probe,” inProc. 2010 IEEE Int.l Symp. Electro. Compat., 2010, pp. 321–324

    2010

  13. [13]

    Sensitivity extension of atom-based amplitude-modulation microwave electrometry via high Rydberg states,

    M. Cai, S. You, S. Zhang, Z. Xu, and H. Liu, “Sensitivity extension of atom-based amplitude-modulation microwave electrometry via high Rydberg states,”Appl. Phys. Lett, vol. 122, no. 16, p. 161103, Apr. 2023

    2023

  14. [14]

    Realizing quantum wireless sensing without extra reference sources: Architecture, algorithm, and sensitivity maximization,

    M. Cui, Q. Zeng, Z. Wang, and K. Huang, “Realizing quantum wireless sensing without extra reference sources: Architecture, algorithm, and sensitivity maximization,”arXiv preprint arXiv:2504.21234, Apr. 2025

    arXiv 2025

  15. [15]

    Digital com- munication with Rydberg atoms and amplitude-modulated microwave fields,

    D. H. Meyer, K. C. Cox, F. K. Fatemi, and P. D. Kunz, “Digital com- munication with Rydberg atoms and amplitude-modulated microwave fields,”Appl. Phys. Lett., vol. 112, no. 21, p. 211108, May 2018

    2018

  16. [16]

    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

    2019

  17. [17]

    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, Jan. 2025

    2025

  18. [18]

    Electromagnetic modeling and capacity analysis of Rydberg atom-based MIMO system,

    S. S. A. Yuan, X. Y . I. Xu, J. Yuan, G. Xie, C. Huang, X. Chen, Z. Huang, and W. E. I. Sha, “Electromagnetic modeling and capacity analysis of Rydberg atom-based MIMO system,”IEEE Antennas Wire- less Propag. Lett., vol. 24, no. 7, pp. 1839–1843, Jul. 2025

    2025

  19. [19]

    Continuous- frequency microwave heterodyne detection in an atomic vapor cell,

    X.-H. Liu, K.-Y . Liao, Z.-X. Zhang, H.-T. Tu, W. Bian, Z.-Q. Li, S.- Y . Zheng, H.-H. Li, W. Huang, H. Yan, and S.-L. Zhu, “Continuous- frequency microwave heterodyne detection in an atomic vapor cell,” Phys. Rev. Appl., vol. 18, no. 5, p. 054003, Nov. 2022

    2022

  20. [20]

    Realization of multiband communications using different Rydberg final states,

    Y . Du, N. Cong, X. Wei, X. Zhang, W. Luo, J. He, and R. Yang, “Realization of multiband communications using different Rydberg final states,”AIP Adv., vol. 12, no. 6, p. 065118, Jun. 2022

    2022

  21. [21]

    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

    2021

  22. [22]

    Aoa detection using a single Rydberg atomic receiver: Leveraging inner-vapor inter- ference,

    Y . Guo, X. Guo, Y . Wang, M. Di Renzo, and P. Zhang, “Aoa detection using a single Rydberg atomic receiver: Leveraging inner-vapor inter- ference,”IEEE Trans. Commun., vol. 73, no. 12, pp. 14 828–14 844, 2025

    2025

  23. [23]

    Quantum wireless sensing: Principle, design and imple- mentation,

    F. Zhang, B. Jin, Z. Lan, Z. Chang, D. Zhang, Y . Jiao, M. Shi, and J. Xiong, “Quantum wireless sensing: Principle, design and imple- mentation,” inProc. Annu. Int. Conf. Mobile Comput. Netw. (ACM MobiCom’23), Oct. 2023, pp. 1–15

    2023

  24. [24]

    High-resolution quantum sensing with Rydberg atomic receiver: Principles, experiments and future prospects,

    M. Chen, T. Mao, Z. Zhu, H. Feng, G. Gao, Z. Wu, W. Xiao, Z. Li, and D. Zheng, “High-resolution quantum sensing with Rydberg atomic receiver: Principles, experiments and future prospects,”arXiv preprint arXiv:2506.11833, Jun. 2025

    Pith/arXiv arXiv 2025

  25. [25]

    Remote sensing of soil moisture using rydberg atoms and satellite signals of opportunity,

    D. Arumugam, J.-H. Park, B. Feyissa, J. Bush, and S. P. M. Nagaraja, “Remote sensing of soil moisture using rydberg atoms and satellite signals of opportunity,”Phys. Rev. Appl., vol. 21, p. 044025, Apr 2024

    2024

  26. [26]

    New paradigm for integrated sensing and communication with Rydberg atomic receiver,

    M. Chen, T. Mao, Y . Zhao, W. Xiao, D. Zheng, Z. Wang, J. Zhang, and S. Chen, “New paradigm for integrated sensing and communication with Rydberg atomic receiver,”arXiv preprint arXiv:2506.13304, Jun. 2025

    arXiv 2025

  27. [27]

    On-off keying signal detection based on hidden markov model for Rydberg atomic sensor,

    H. Wu, X. Yao, C. Xie, K.-D. Wu, S. Wu, R. Ni, G.-Y . Xiang, and C. Gong, “On-off keying signal detection based on hidden markov model for Rydberg atomic sensor,”IEEE Trans. Commun., 2025

    2025

  28. [28]

    General signal model and capacity limit for Rydberg quantum information system,

    J. Zhu and L. Dai, “General signal model and capacity limit for Rydberg quantum information system,”arXiv preprint arXiv:2506.23455, Jun. 2025

    arXiv 2025

  29. [29]

    Isotropic antenna based on Rydberg atoms,

    S. Yuan, M. Jing, H. Zhang, L. Zhang, L. Xiao, and S. Jia, “Isotropic antenna based on Rydberg atoms,”Opt. Express, vol. 32, no. 5, pp. 8379–8388, Feb 2024

    2024

  30. [30]

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

    Y . Chen, X. Guo, C. Yuen, Y . Zhao, Y . Guan, C. M. S. See, M. Debbah, and L. Hanzo, “Harnessing Rydberg atomic receivers: From quantum physics to wireless communications,”arXiv preprint arXiv:2501.11842, Jan. 2025

    Pith/arXiv arXiv 2025

  31. [31]

    Wavenumber-division multiplexing in line-of-sight holographic MIMO communications,

    L. Sanguinetti, A. A. D’Amico, and M. Debbah, “Wavenumber-division multiplexing in line-of-sight holographic MIMO communications,” IEEE Trans. Wireless Commun., vol. 22, no. 4, pp. 2186–2201, Apr. 2023

    2023

  32. [32]

    Mutual information for electromagnetic information theory based on random fields,

    Z. Wan, J. Zhu, Z. Zhang, L. Dai, and C.-B. Chae, “Mutual information for electromagnetic information theory based on random fields,”IEEE Trans. Commun., vol. 71, no. 4, pp. 1982–1996, Apr. 2023

    1982

  33. [33]

    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, 2024

    2024

  34. [34]

    Electric field metrology for SI traceability: Systematic measurement uncertainties in electromagnetically induced transparency in atomic vapor,

    C. L. Holloway, M. T. Simons, J. A. Gordon, A. M. Dienstfrey, D. A. Anderson, and G. Raithel, “Electric field metrology for SI traceability: Systematic measurement uncertainties in electromagnetically induced transparency in atomic vapor,”J. Appl. Phys., vol. 121, pp. 233 106– 233 106, Jun. 2017

    2017

  35. [35]

    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 Wireless Commun., pp. 1–11, 2025. 14

    2025

  36. [36]

    Hybrid MIMO architectures for millimeter wave communica- tions: Phase shifters or switches?

    R. M ´endez-Rial, C. Rusu, N. Gonz ´alez-Prelcic, A. Alkhateeb, and R. W. Heath, “Hybrid MIMO architectures for millimeter wave communica- tions: Phase shifters or switches?”IEEE Access, vol. 4, pp. 247–267, Jan. 2016

    2016

  37. [37]

    Anti-reflection (AR) coatings,

    Edmund Optics, “Anti-reflection (AR) coatings,” 2025. [On- line]. Available: https://www.edmundoptics.com/knowledge-center/ application-notes/lasers/anti-reflection-coatings

    2025

  38. [38]

    An overview of outdoor visible light communications,

    A. Ndjiongue and H. Ferreira, “An overview of outdoor visible light communications,”Trans. Emerging Telecommun. Technol., vol. 29, no. 7, p. e3448, Jul. 2018

    2018

  39. [39]

    Zhong,Antenna theory and techniques

    S. Zhong,Antenna theory and techniques. Publishing House of Electronics Industry, 2011

    2011