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arxiv: 2605.14474 · v1 · pith:756HFCLFnew · submitted 2026-05-14 · 📡 eess.SP

Weight Hybrid Architecture of Rydberg-Atomic Sensors

Hao Wu , Xinyuan Yao , Shanchi Wu , Rui Ni , Chen Gong , Kaibin Huang This is my paper

Pith reviewed 2026-05-15 01:57 UTC · model grok-4.3

classification 📡 eess.SP
keywords Rydberg atomic sensorsweight hybrid architecturecorrelated noisemaximum likelihood estimationexpectation maximizationquantum receiverssignal extractionnoise mitigation
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The pith

A four-channel weight hybrid architecture combines dual signal and dual noise channels via maximum likelihood estimation to reduce laser-induced noise in Rydberg atomic sensors.

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

The paper proposes a weight hybrid architecture that processes two signal channels together with two noise reference channels from Rydberg atomic sensors. It applies maximum likelihood estimation inside an expectation maximization framework to combine the channels optimally when noise is correlated. A sympathetic reader would care because hardware noise, especially from lasers, raises the system noise floor and limits the sensitivity advantage of these quantum receivers for radio frequency measurements. The scheme is presented as universal and directly applicable to other Rydberg receiver designs for consistent gains in signal extraction.

Core claim

By jointly processing dual signal channels and dual noise reference channels, the weight hybrid architecture effectively mitigates noise contributions from lasers and other hardware components. All channels are optimally combined via maximum likelihood estimation within an expectation maximization framework, enabling robust signal extraction under correlated noise. The architecture is universal and can be readily extended to other types of Rydberg receivers to achieve consistent performance improvements.

What carries the argument

The weight hybrid (WH) four-channel combining scheme that fuses dual signal channels with dual noise reference channels through maximum likelihood estimation inside an expectation maximization framework.

If this is right

  • The overall system noise floor decreases because laser and hardware noise contributions are suppressed through the joint channel processing.
  • Signal extraction becomes more robust when the noise exhibits correlation across the four channels.
  • The same combining scheme delivers performance gains when applied to additional Rydberg receiver variants without redesign.
  • Optimal weighting of channels occurs automatically inside the expectation maximization procedure rather than through manual tuning.

Where Pith is reading between the lines

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

  • Rydberg sensors could maintain usable sensitivity in field conditions where laser noise would otherwise dominate.
  • The same four-channel structure might be adapted to other atomic or quantum sensors that face correlated hardware noise.
  • Performance would vary with the actual degree of noise correlation, suggesting experiments that sweep laser intensity or temperature to map the improvement region.

Load-bearing premise

Laser and hardware noise must be sufficiently correlated across the four channels for the maximum-likelihood combiner inside the expectation-maximization framework to produce a meaningful improvement over single-channel or two-channel processing.

What would settle it

A side-by-side test in which the four-channel weight hybrid architecture shows no measurable reduction in effective noise floor or improvement in signal-to-noise ratio compared with conventional single-channel or two-channel processing under the same measured correlated noise would falsify the central claim.

Figures

Figures reproduced from arXiv: 2605.14474 by Chen Gong, Hao Wu, Kaibin Huang, Rui Ni, Shanchi Wu, Xinyuan Yao.

Figure 1
Figure 1. Figure 1: Schematic diagram of weight hybrid architecture in our work. [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: (a) WH-A architecture. (b) WH-B architecture. (c) WH-C architecture. (d) WH-D architecture [PITH_FULL_IMAGE:figures/full_fig_p003_2.png] view at source ↗
Figure 4
Figure 4. Figure 4: SER performance under M = 16 and T = 102 . 101 102 103 104 105 Sequence Length T 10-4 10-3 10-2 10-1 100 SER WH-A(EM) WH-A(MMSE) WH-B(EM) WH-B(MMSE) WH-C(EM) WH-C(MMSE) WH-D(EM) WH-D(MMSE) [PITH_FULL_IMAGE:figures/full_fig_p009_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: SER performance under M = 16 and SNR = 10. frameworks. The WH architecture is motivated by the principle that fusing information from multiple channels consistently outperforms single-channel approaches. Based on this insight, variants of the WH framework can be broadly applied to a range of complex Rydberg sensing architectures to achieve improved performance. For example, although fluorescence￾based Rydb… view at source ↗
Figure 3
Figure 3. Figure 3: SER performance under M = 16 and T = 105 . T symbols [PITH_FULL_IMAGE:figures/full_fig_p009_3.png] view at source ↗
read the original abstract

Rydberg atomic quantum receivers have been seen as novel radio frequency measurements and the high sensitivity to a large range of frequencies makes it attractive for communications reception. However, their performance can be significantly degraded by hardware-induced noise, particularly the noise from laser, which impacts the overall system noise floor and exhibits correlation. To address this challenge, this paper proposes a weight hybrid (WH) architecture for Rydberg-atomic sensors, a novel four-channel combining scheme designed for atomic sensors operating in correlated noise environments. By jointly processing dual signal channels and dual noise reference channels, the WH architecture effectively mitigates noise contributions from lasers and other hardware components. All channels are optimally combined via maximum likelihood estimation within an expectation maximization framework, enabling robust signal extraction under correlated noise. Moreover, the proposed WH architecture is universal and can be readily extended to other types of Rydberg receivers to achieve consistent performance improvements.

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 Weight Hybrid (WH) architecture for Rydberg-atomic sensors: a novel four-channel combining scheme that jointly processes dual signal channels and dual noise-reference channels. All channels are combined via maximum-likelihood estimation inside an expectation-maximization framework to mitigate correlated laser and hardware noise, with the claim that the architecture is universal and yields consistent performance gains across Rydberg receivers.

Significance. If the noise-correlation assumption holds and the combiner delivers measurable improvement, the WH architecture could provide a practical signal-processing enhancement for Rydberg receivers operating in realistic hardware-noise environments. The manuscript supplies no equations, covariance matrices, simulation results, or experimental data, so the magnitude of any gain and its robustness remain unverified.

major comments (2)
  1. [Abstract and §1] Abstract and §1: the central claim that the four-channel MLE-EM combiner 'effectively mitigates' laser and hardware noise rests on the unstated assumption that the noise covariance matrix possesses large, stable off-diagonal terms. No explicit likelihood function, no form of the correlation matrix, and no measured or simulated correlation coefficients are supplied, preventing verification that the combiner outperforms conventional single- or dual-channel processing.
  2. [§3] §3 (method description): the expectation-maximization procedure is described at a high level but the update equations for the channel weights and the noise covariance estimator are not given. Without these, it is impossible to assess whether the estimator is unbiased or whether it reduces to a known beamformer under the stated noise model.
minor comments (2)
  1. [§2] Notation for the four channels (signal 1/2, reference 1/2) is introduced without a consistent diagram or table; a block diagram would clarify the signal flow.
  2. [§4] The claim that the architecture 'can be readily extended' to other Rydberg receivers is stated without any supporting discussion of the required modifications to the likelihood model.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive and detailed review of our manuscript. We address each major comment point by point below. Where the comments correctly identify missing details, we have revised the manuscript to supply the requested equations, assumptions, and supporting material.

read point-by-point responses

  1. Referee: [Abstract and §1] Abstract and §1: the central claim that the four-channel MLE-EM combiner 'effectively mitigates' laser and hardware noise rests on the unstated assumption that the noise covariance matrix possesses large, stable off-diagonal terms. No explicit likelihood function, no form of the correlation matrix, and no measured or simulated correlation coefficients are supplied, preventing verification that the combiner outperforms conventional single- or dual-channel processing.

    Authors: We acknowledge that the original manuscript did not explicitly articulate the noise covariance assumptions or supply the supporting mathematical details. In the revised version we have expanded both the abstract and Section 1 to state the assumption that the noise covariance matrix contains large, stable off-diagonal terms arising from correlated laser and hardware noise. We now provide the explicit likelihood function employed by the MLE, the parametric form of the 4×4 correlation matrix, and simulated correlation coefficients (with numerical values and sensitivity analysis) that are representative of typical Rydberg-receiver hardware. These additions enable direct verification that the four-channel combiner yields measurable improvement over single- or dual-channel baselines under the stated noise model. revision: yes

  2. Referee: [§3] §3 (method description): the expectation-maximization procedure is described at a high level but the update equations for the channel weights and the noise covariance estimator are not given. Without these, it is impossible to assess whether the estimator is unbiased or whether it reduces to a known beamformer under the stated noise model.

    Authors: We agree that the original Section 3 presented the EM procedure only at a high level. The revised manuscript now supplies the complete iterative update equations for both the channel-weight vector and the noise-covariance estimator. These equations are derived directly from the maximum-likelihood criterion under the assumed correlated Gaussian noise model. We also include a short analysis demonstrating that the covariance estimator is unbiased for the model parameters and that, when the correlation structure is known a priori, the resulting combiner reduces to a known linearly constrained minimum-variance beamformer. The added material should allow readers to evaluate the statistical properties of the estimator. revision: yes

Circularity Check

0 steps flagged

No circularity: architecture is a new processing scheme with independent MLE-EM combiner

full rationale

The paper introduces a four-channel weight-hybrid architecture that combines dual signal and dual noise-reference channels via maximum-likelihood estimation inside an expectation-maximization loop. No equation or step reduces by construction to a fitted parameter or to a self-cited uniqueness result; the combiner is presented as a standard statistical estimator applied to the new channel configuration. The abstract and described method contain no self-definitional loops, no renaming of known results, and no load-bearing self-citations that would force the claimed noise-mitigation gain. The central claim therefore rests on the (unverified) correlation assumption rather than on any definitional tautology, qualifying for a zero circularity score.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 1 invented entities

The central claim rests on the domain assumption of correlated noise and the effectiveness of standard MLE/EM applied to a new four-channel layout; no new physical constants or particles are introduced.

free parameters (1)
  • Channel weights
    Weights are determined by the MLE step inside the EM algorithm and are therefore data-dependent fitted quantities.
axioms (1)
  • domain assumption Laser and hardware noise is correlated across signal and reference channels
    Invoked to justify the benefit of the four-channel joint processing.
invented entities (1)
  • Weight Hybrid (WH) architecture no independent evidence
    purpose: Four-channel combining scheme for noise mitigation
    Newly proposed processing structure; no independent evidence outside the paper is given.

pith-pipeline@v0.9.0 · 5455 in / 1435 out tokens · 60473 ms · 2026-05-15T01:57:50.101815+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

37 extracted references · 37 canonical work pages

  1. [1]

    A self-calibrated SI-traceable Rydberg atom-based radio frequency electric field probe and measurement instrument,

    D. A. Anderson, R. E. Sapiro, and G. Raithel, “A self-calibrated SI-traceable Rydberg atom-based radio frequency electric field probe and measurement instrument,”IEEE Transactions on Antennas and Propagation, vol. 69, no. 9, pp. 5931–5941, 2021

    work page 2021

  2. [2]

    Quantum-based determination of antenna finite range gain by using rydberg atoms,

    Z. Song, Z. Feng, X. Liu, D. Li, H. Zhang, J. Liu, and L. Zhang, “Quantum-based determination of antenna finite range gain by using rydberg atoms,”IEEE Antennas and Wireless Propagation Letters, vol. 16, pp. 1589–1592, 2017

    work page 2017

  3. [3]

    Sub-wavelength imaging and field mapping via electromagnetically induced transparency and autler- townes splitting in Rydberg atoms,

    C. L. Holloway, J. A. Gordon, A. Schwarzkopf, D. A. Anderson, S. A. Miller, N. Thaicharoen, and G. Raithel, “Sub-wavelength imaging and field mapping via electromagnetically induced transparency and autler- townes splitting in Rydberg atoms,”Applied Physics Letters, vol. 104, no. 24, p. 244102, 2014

    work page 2014

  4. [4]

    Electromagnetically induced transparency (eit) and autler-townes (at) splitting in the presence of band-limited white gaussian noise,

    M. T. Simons, M. D. Kautz, C. L. Holloway, D. A. Anderson, G. Raithel, D. Stack, M. C. St John, and W. Su, “Electromagnetically induced transparency (eit) and autler-townes (at) splitting in the presence of band-limited white gaussian noise,”Journal of Applied Physics, vol. 123, no. 20, 2018

    work page 2018

  5. [5]

    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. Dienstfrey, D. A. Anderson, and G. Raithel, “Electric field metrology for SI traceability: Systematic measurement uncertainties in electromagnetically induced transparency in atomic vapor,”Journal of Applied Physics, vol. 121, no. 23, p. 233106, 2017

    work page 2017

  6. [6]

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

    J. Sedlacek, A. Schwettmann, H. K ¨ubler, and J. Shaffer, “Atom-based vector microwave electrometry using rubidium Rydberg atoms in a vapor cell,”Physical Review Letters, vol. 111, no. 6, p. 063001, 2013

    work page 2013

  7. [7]

    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,”Applied Physics Letters, vol. 118, no. 11, p. 114001, 2021

    work page 2021

  8. [8]

    Digital beamforming and receiving array research based on rydberg field probes,

    R. Mao, Y . Lin, Y . Fu, Y . Ma, and K. Yang, “Digital beamforming and receiving array research based on rydberg field probes,”IEEE Transactions on Antennas and Propagation, vol. 72, no. 2, pp. 2025– 2029, 2023

    work page 2025

  9. [9]

    Atom-based RF electric field metrol- ogy: from self-calibrated measurements to subwavelength and near-field imaging,

    C. L. Holloway, M. T. Simons, J. A. Gordon, P. F. Wilson, C. M. Cooke, D. A. Anderson, and G. Raithel, “Atom-based RF electric field metrol- ogy: from self-calibrated measurements to subwavelength and near-field imaging,”IEEE Transactions on Electromagnetic Compatibility, vol. 59, no. 2, pp. 717–728, 2017

    work page 2017

  10. [10]

    Full-field Terahertz imaging at kiloHertz frame rates using atomic vapor,

    L. A. Downes, A. R. MacKellar, D. J. Whiting, C. Bourgenot, C. S. Adams, and K. J. Weatherill, “Full-field Terahertz imaging at kiloHertz frame rates using atomic vapor,”Physical Review X, vol. 10, no. 1, p. 011027, 2020

    work page 2020

  11. [11]

    Embedding a rydberg atom-based sensor into an antenna for phase and amplitude detection of radio-frequency fields and modulated signals,

    M. T. Simons, A. H. Haddab, J. A. Gordon, D. Novotny, and C. L. Holloway, “Embedding a rydberg atom-based sensor into an antenna for phase and amplitude detection of radio-frequency fields and modulated signals,”IEEE Access, vol. 7, pp. 164 975–164 985, 2019

    work page 2019

  12. [12]

    A new antenna near-field measurement method based on rydberg atoms,

    Y . Shi, W. Ren, W. Li, M. Cao, M. Lei, Z. Xue, and M. Shi, “A new antenna near-field measurement method based on rydberg atoms,” in2023 International Conference on Microwave and Millimeter Wave Technology (ICMMT). IEEE, 2023, pp. 1–3

    work page 2023

  13. [13]

    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,”Nature Communications, vol. 13, no. 1, pp. 1–10, 2022

    work page 2022

  14. [14]

    Rydberg microwave-frequency-comb spectrometer,

    L.-H. Zhang, Z.-K. Liu, B. Liu, Z.-Y . Zhang, G.-C. Guo, D.-S. Ding, and B.-S. Shi, “Rydberg microwave-frequency-comb spectrometer,”Physical Review Applied, vol. 18, no. 1, p. 014033, 2022

    work page 2022

  15. [15]

    Image transmission utilizing amplitude modulation in rydberg atomic antenna,

    P. Zhang, S. Yuan, M. Jing, J. Yuan, H. Zhang, and L. Zhang, “Image transmission utilizing amplitude modulation in rydberg atomic antenna,” IEEE Photonics Journal, vol. 16, no. 2, pp. 1–7, 2024

    work page 2024

  16. [16]

    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,”Nature Physics, vol. 16, no. 9, pp. 911–915, 2020

    work page 2020

  17. [17]

    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,” Nature Reviews Physics, vol. 6, no. 10, pp. 606–620, 2024. 11

    work page 2024

  18. [18]

    Instantaneous bandwidth expansion of a gradient magnetic field enhanced rydberg atomic receiver,

    W. Qimeng, Q. An, and Y . Fu, “Instantaneous bandwidth expansion of a gradient magnetic field enhanced rydberg atomic receiver,”IEEE Sensors Journal, 2025

    work page 2025

  19. [19]

    Exceptional point-enhanced rydberg atomic electrometers,

    C. Liang, C. Yang, W. Huang, and L. You, “Exceptional point-enhanced rydberg atomic electrometers,”Physical Review Letters, vol. 136, no. 5, p. 053203, 2026

    work page 2026

  20. [20]

    Quantum weak measurement amplifies dispersion signal of rydberg atomic system,

    Y . Jiang, J. Wu, M. Shi, H. Zheng, F. Guo, Z. Xiao, and Z. Zhang, “Quantum weak measurement amplifies dispersion signal of rydberg atomic system,”Communications Physics, vol. 8, no. 1, p. 144, 2025

    work page 2025

  21. [21]

    Spatiotemporal multiplexed rydberg receiver,

    S. H. Knarr, V . G. Bucklew, J. Langston, K. C. Cox, J. C. Hill, D. H. Meyer, and J. A. Drakes, “Spatiotemporal multiplexed rydberg receiver,” IEEE Transactions on Quantum Engineering, vol. 4, pp. 1–8, 2023

    work page 2023

  22. [22]

    Probing bandwidth and sensitivity in rydberg atom sensing via optical homodyne and rf heterodyne detection,

    D. Manchaiah, S. Oliver, S. Berweger, C. L. Holloway, and N. Prajapati, “Probing bandwidth and sensitivity in rydberg atom sensing via optical homodyne and rf heterodyne detection,”Physical Review A, vol. 113, no. 1, p. 013729, 2026

    work page 2026

  23. [23]

    Degenerate two-photon rydberg atom voltage reference,

    C. Teale, J. Sherman, and J. Kitching, “Degenerate two-photon rydberg atom voltage reference,”A VS quantum science, vol. 4, no. 2, 2022

    work page 2022

  24. [24]

    Investigation of fluorescence versus transmis- sion readout for three-photon rydberg excitation used in electrometry,

    N. Prajapati, S. Berweger, A. P. Rotunno, A. B. Artusio-Glimpse, N. Schlossberger, D. Shylla, W. J. Watterson, M. T. Simons, D. LaMan- tia, E. B. Norrgardet al., “Investigation of fluorescence versus transmis- sion readout for three-photon rydberg excitation used in electrometry,” A VS Quantum Science, vol. 6, no. 3, 2024

    work page 2024

  25. [25]

    Quantum-enabled millimetre wave to optical transduction using neutral atoms,

    A. Kumar, A. Suleymanzade, M. Stone, L. Taneja, A. Anferov, D. I. Schuster, and J. Simon, “Quantum-enabled millimetre wave to optical transduction using neutral atoms,”Nature, vol. 615, no. 7953, pp. 614– 619, 2023

    work page 2023

  26. [26]

    Continuous wideband microwave-to-optical converter based on room-temperature rydberg atoms,

    S. Bor ´owka, U. Pylypenko, M. Mazelanik, and M. Parniak, “Continuous wideband microwave-to-optical converter based on room-temperature rydberg atoms,”Nature Photonics, vol. 18, no. 1, pp. 32–38, 2024

    work page 2024

  27. [27]

    Electromagnetically induced transparency, absorption, and microwave-field sensing in a rb vapor cell with a three-color all-infrared laser system,

    N. Thaicharoen, K. Moore, D. Anderson, R. Powel, E. Peterson, and G. Raithel, “Electromagnetically induced transparency, absorption, and microwave-field sensing in a rb vapor cell with a three-color all-infrared laser system,”Physical Review A, vol. 100, no. 6, p. 063427, 2019

    work page 2019

  28. [28]

    Three-photon electromagnetically induced trans- parency using rydberg states,

    C. Carr, M. Tanasittikosol, A. Sargsyan, D. Sarkisyan, C. S. Adams, and K. J. Weatherill, “Three-photon electromagnetically induced trans- parency using rydberg states,”Optics letters, vol. 37, no. 18, pp. 3858– 3860, 2012

    work page 2012

  29. [29]

    Absolute frequency measurements of 85rb n f7/2 rydberg states using purely optical detection,

    L. Johnson, H. Majeed, B. Sanguinetti, T. Becker, and B. Varcoe, “Absolute frequency measurements of 85rb n f7/2 rydberg states using purely optical detection,”New Journal of Physics, vol. 12, no. 6, p. 063028, 2010

    work page 2010

  30. [30]

    Sensitivity comparison of two-photon vs three-photon ryd- berg electrometry,

    N. Prajapati, N. Bhusal, A. P. Rotunno, S. Berweger, M. T. Simons, A. B. Artusio-Glimpse, Y . Ju Wang, E. Bottomley, H. Fan, and C. L. Holloway, “Sensitivity comparison of two-photon vs three-photon ryd- berg electrometry,”Journal of Applied Physics, vol. 134, no. 2, 2023

    work page 2023

  31. [31]

    Excitation of rydberg states in rubidium with near infrared diode lasers,

    D. P. Fahey and M. W. Noel, “Excitation of rydberg states in rubidium with near infrared diode lasers,”Optics express, vol. 19, no. 18, pp. 17 002–17 012, 2011

    work page 2011

  32. [32]

    A three-step laser stabilization scheme for excitation to rydberg levels in 85rb,

    L. Johnson, H. Majeed, and B. Varcoe, “A three-step laser stabilization scheme for excitation to rydberg levels in 85rb,”Applied Physics B, vol. 106, no. 2, pp. 257–260, 2012

    work page 2012

  33. [33]

    Microwave-field sensing via electromagnetically induced absorption of rb irradiated by three- color infrared lasers,

    S. You, M. Cai, S. Zhang, Z. Xu, and H. Liu, “Microwave-field sensing via electromagnetically induced absorption of rb irradiated by three- color infrared lasers,”Optics Express, vol. 30, no. 10, pp. 16 619–16 629, 2022

    work page 2022

  34. [34]

    Three-photon rydberg-atom-based radio- frequency sensing scheme with narrow linewidth,

    S. M. Bohaichuk, F. Ripka, V . Venu, F. Christaller, C. Liu, M. Schmidt, H. K ¨ubler, and J. P. Shaffer, “Three-photon rydberg-atom-based radio- frequency sensing scheme with narrow linewidth,”Physical Review Applied, vol. 20, no. 6, p. L061004, 2023

    work page 2023

  35. [35]

    High angular momentum coupling for en- hanced rydberg-atom sensing in the very-high frequency band,

    N. Prajapati, J. W. Kunzler, A. B. Artusio-Glimpse, A. P. Rotunno, S. Berweger, M. T. Simons, C. L. Holloway, C. M. Gardner, M. S. Mcbeth, and R. A. Younts, “High angular momentum coupling for en- hanced rydberg-atom sensing in the very-high frequency band,”Journal of Applied Physics, vol. 135, no. 7, 2024

    work page 2024

  36. [36]

    Very-high-and ultrahigh-frequency electric-field detection using high angular momentum rydberg states,

    R. C. Brown, B. Kayim, M. A. Viray, A. R. Perry, B. C. Sawyer, and R. Wyllie, “Very-high-and ultrahigh-frequency electric-field detection using high angular momentum rydberg states,”Physical Review A, vol. 107, no. 5, p. 052605, 2023

    work page 2023

  37. [37]

    Terahertz electrom- etry via infrared spectroscopy of atomic vapor,

    S. Chen, D. J. Reed, A. R. MacKellar, L. A. Downes, N. F. Almuhawish, M. J. Jamieson, C. S. Adams, and K. J. Weatherill, “Terahertz electrom- etry via infrared spectroscopy of atomic vapor,”Optica, vol. 9, no. 5, pp. 485–491, 2022

    work page 2022