RAQ-MIMO: MIMO for Multi-Band Rydberg Atomic Quantum Receiver

Jieao Zhu; Linglong Dai

REVIEW 3 major objections 9 minor 1 cited by

RAQ-MIMO: MIMO for Multi-Band Rydberg Atomic Quantum Receiver

T0 review · 3 major / 9 minor · reviewed 2026-08-15 · deepseek-v4-flash

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Pith's one-line read Simulations show that a multi-band Rydberg atomic receiver array can eliminate intermediate-frequency interference by separating bands in space and tuning quantum local oscillators, and can outperform classical MIMO receivers that suffer…

desk verdict A coherent simulation study with a genuinely new joint optimization of quantum LO and MIMO precoders, but the central gains ride on an unvalidated self-cited physics model and the paper skips a direct comparison with prior atomic MIMO work. read the letter →

arxiv 2509.07832 v1 pith:O5DLUMN4 submitted 2025-09-09 cs.IT eess.SPmath.IT

Jieao Zhu , Linglong Dai This is my paper · ORCID

classification cs.ITeess.SPmath.IT MSC 94A0594A1594A40

keywords Rydbergatomicquantumreceivermulti-bandreceptiontransconductanceintermediatefrequencyinterferenceMU-MIMOweightedMMSEspectralefficiencyoptimizationlocaloscillator

verification ladder T0 review T1 audit T2 compute T3 formal

The pith

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

The reading

This paper argues that the one thing blocking multi-band Rydberg atomic receivers — signals from different radio bands colliding after down-conversion to the same optical intermediate frequency — can be removed by treating the atomic vapor cells as a MIMO receiver array and jointly tuning the quantum local oscillators that set each band's sensitivity. It introduces the quantum transconductance, a per-band gain controlled by the local-oscillator field strengths, and embeds it in a weighted-MMSE algorithm (qWMMSE) that optimizes local-oscillator settings together with classical precoders and combiners. In simulations the framework adds roughly 3 bps/Hz over fixed-local-oscillator receivers in both space-division and frequency-division multiple access, and the atomic array outperforms classical electronic MIMO because optically read-out vapor cells avoid the mutual coupling that limits conventional antennas. If the underlying physics model survives experimental test, this would turn the multi-band atomic receiver's main weakness into a solvable signal-processing problem.

What carries the argument

The quantum transconductance $g_{q,m}$ — a per-band gain, measured in Siemens, that maps an incident RF field in band $m$ into photocurrent, the atomic analogue of a transistor's transconductance — carries the whole argument. It is computed from the steady-state density matrix of the laser-driven Rydberg level system: after vectorizing the density matrix, the steady state solves the homogeneous equation $A_0\bar{x}=0$ built from the Hamiltonian and the decay rates, and $g_{q,m}$ is the partial derivative of the probe response $\mathrm{Im}\{[\bar{\rho}]_{21}\}$ with respect to the $m$-th LO field. Its Jacobian $[J_q]_{mn}=\partial g_{q,m}/\partial E_{LO,n}$, obtained from second derivatives of the steady state, is what lets the optimizer treat the LO operating point as a tunable resource. The qWMMSE algorithm wraps this quantum layer around the classical weighted-MMSE loop: combiners and precoders are updated with LMMSE formulas, and the LO fields by Armijo-Goldstein backtracking search.

What would settle it

Drive a Cs-133 vapor cell with the five-level system of Section IV, apply two LO tones at 6.938 GHz and 31.793 GHz, sweep the LO intensities over the range of Fig. 2 (about −50 to −10 dB(V/m)), inject small probe tones in both bands, and compare the measured quantum transconductance surfaces for $g_{q,1}$ and $g_{q,2}$ against the predictions of Eqs. (6)–(8). If the measured peak locations or shapes differ, or if a cross-band term appears — the band-1 signal changing the band-2 gain beyond the predicted trade-off — then the LO-optimization gains and the claimed advantage over classical MIMO would not transfer to real hardware.

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Extended reading notes

Core claim

The paper's central claim is that intermediate-frequency interference (IFI) is not a fundamental obstacle for multi-band Rydberg receivers. Because each atomic vapor cell responds to all $M$ bands at once, an array of $N_r$ vapor cells observes the same superimposed IF mixture from distinct spatial vantage points, so users in different bands can be separated by spatial filtering exactly as in classical MIMO. The per-band conversion gains are set by the quantum local oscillator fields through the quantum transconductance $g_{q,m}$, and the paper shows these gains trade off against one another: the LO operating point that maximizes one band can depress another. The qWMMSE algorithm therefore treats the LO field strengths as an extra optimization variable, alternating classical WMMSE updates of precoders and combiners with gradient descent on the LO configuration via the quantum Jacobian $\partial g_{q,m}/\partial E_{LO,n}$, all under the signal model $\Delta I_{ph}(t) = L\sum_m g_{q,m}E_{sig,m}(t)$ and a noise model combining blackbody radiation, electronic thermal noise, laser relative intensity noise, and image-frequency noise. Simulation results show convergence of the algorithm, a uniform spectral-efficiency gain of about 3 bps/Hz over receivers with fixed LO settings, and an atomic-array performance that can surpass classical MIMO receivers whose antennas suffer mutual coupling.

Load-bearing premise

Every simulated gain rests on the assumption, carried from the authors' own earlier preprint and not tested in hardware here, that the photocurrent is exactly $\Delta I_{ph}(t) = L\sum_m g_{q,m}E_{sig,m}(t)$ with $g_{q,m}$ computed from the zero-input steady-state density matrix and the noise covariance given by Eq. (13).

Editorial extensions

If this is right

The IFI bottleneck dissolves: users in different bands can share overlapping IF bandwidth because the spatial domain does the separation, so the limited IF bandwidth no longer caps the number of bands or users.
Quantum LO tuning becomes a practical resource: a base station could rebalance per-band atomic gains on the fly to match channel conditions, user weights, and power budgets, much as classical systems adapt transmit power.
Existing MIMO signal processing carries over almost unchanged: because the model writes each band's channel in the classical form $\mathbf{H}_{m,k}$, standard precoding, detection, and scheduling machinery applies to atomic receivers.
The absence of mutual coupling gives atomic arrays a concrete edge over classical arrays at equal IF bandwidth, with the SDMA variant attaining the highest sum rate.
Both multiple-access schemes benefit but in different senses: FDMA keeps higher spectral efficiency in bps/Hz via reduced RF bandwidth, while SDMA delivers higher total rate by using the full RF bandwidth.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

If the transconductance picture extends beyond $M$ discrete bands toward a continuum of LO-tuned responses, the same spatial-separation design would scale to ultra-wideband reception of many concurrent carriers — a direction the paper only flags as future work.
The optimization machinery could double as a calibration tool: since the computed $g_{q,m}$ surfaces depend on decay rates and detunings, fitting measured transconductance surfaces to Eqs. (6)–(8) would estimate the atomic parameters of a real vapor cell.
The band-balancing behavior points to a new resource-allocation dimension: the LO operating point could be re-optimized per scheduling interval, like transmit power, which the weighted-SE objective with user weights $\alpha_{m,k}$ already permits.

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Editorial analysis

A structured set of objections, weighed in public.

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

Desk Editor's Note

read the letter

Bottom line: this is a careful simulation paper that adds a real knob to MIMO design for Rydberg receivers—jointly optimizing the quantum LO operating points with classical precoders/combiners. The qWMMSE algorithm is a direct extension of standard WMMSE, but the problem formulation is new and the quantum Jacobian derivation is done rigorously. The complexity analysis is honest, and the paper explicitly says experimental validation is future work. If the physics model from the authors' preprint [28] holds, the claimed SE gains are plausible.

What is actually new: using spatial separation to mitigate IF interference in multi-band atomic receivers, and the joint LO-precoder-combiner optimization. Prior atomic MIMO work exists ([31] Cui et al., [38] Gong et al.), and this paper does not position itself against them beyond citing [38] for weakened mutual coupling. That is a real gap—the reader cannot tell how RAQ-MIMO differs from [38] in architecture or performance. Adding those as baselines, or at least a substantive discussion, would have strengthened the paper.

The load-bearing weakness is the physics model. Equations (1), (6), and (13) come from the authors' own unvalidated preprint, and all simulated gains are computed inside that model. Table I itself lists multi-atom interaction and thermal Doppler as inaccuracy sources for the quantum transconductance model. So the central performance claims are conditional on a model that may not transfer to hardware. This is a serious caveat, but not a disqualifying one: the paper is open about it, and the algorithm design stands apart from the final validity of the model. The BBR noise derivation in Appendix A is a solid concrete piece.

Proportionately, my concerns are: (1) missing comparison with prior atomic MIMO work—moderate; (2) unvalidated, load-bearing physics model—major but disclosed; (3) the claims about breaking Chu's limit and outperforming classical MIMO are stated a bit strongly given that the comparison uses simulated channels and a specific noise model—moderate. These are addressable in revision rather than fatal.

This paper is for researchers in atomic quantum receivers and MIMO signal processing. It deserves a serious referee; the referee should push on model validation and on the relationship to [38]. I would not desk-reject it, and I would engage with it in revision.

Referee Report

3 major / 9 minor

Summary. The paper proposes RAQ-MIMO, a multi-band Rydberg atomic quantum receiver array that uses spatial-domain MIMO processing to overcome intermediate-frequency interference (IFI). The authors adopt a quantum transconductance signal model and a BBR/electronic noise model from their earlier preprint [28], formulate a weighted spectral efficiency maximization problem over precoders, combiners, and LO field strengths, and propose the qWMMSE algorithm with explicit gradient and Jacobian formulas. Simulations for SDMA and FDMA show that the proposed optimization improves spectral efficiency relative to no-optimization baselines and that the quantum array can outperform a classical MIMO receiver with antenna mutual coupling.

Significance. If the underlying physics model is accepted, the paper makes a useful algorithmic contribution: it treats the LO amplitudes of a Rydberg receiver as tunable MIMO optimization variables, derives the associated Jacobians explicitly, provides a complexity analysis, and promises reproducible simulation code. The idea of suppressing multi-band IFI in the spatial domain is a plausible and interesting system-level direction. The main value is therefore conditional on the signal and noise model from [28], which is not experimentally validated in this manuscript. The optimization derivations are coherent and the paper is clearly written, but the headline claims currently go beyond what the simulations can support.

major comments (3)

[Section II.B-C, Eqs. (1), (6), (13), Table I, Section V] The central simulated SE gains and the headline comparison to classical MIMO are computed entirely inside the quantum transconductance signal model and the noise model taken from the authors' own preprint [28]. The manuscript itself lists multi-atom interaction and thermal Doppler effect as main sources of inaccuracy in Table I, and Section V states that experimental validation is future work. Because the physics model is unvalidated, the abstract's wording that "simulation results demonstrate" improved SE and outperformance over classical receivers overstates the evidence. The authors should either provide experimental or independent validation of Eqs. (1), (6), and (13), or explicitly reframe the results as conditional on the model of [28] and quantify sensitivity to the listed model inaccuracies and to the atomic parameters.
[Section IV.A and Fig. 10] The outperformance claim over classical MIMO is not supported by a well-defined comparison. The classical "cSDMA with MC" baseline is described only as considering mutual coupling, with no coupling matrix, coupling coefficients, or spatial correlation model, while the RAQ-MIMO array is modeled with no mutual coupling or cell-to-cell crosstalk. The observed advantage over classical MIMO may therefore be an artifact of asymmetric modeling assumptions. Please specify the classical MC model, add a coupling or crosstalk model for the atomic array (including possible common laser/probe effects), and include classical baselines that use standard decoupling or calibration before claiming that quantum receivers outperform classical MIMO by eliminating mutual coupling.
[Section II.E, Eq. (20), and Section IV] The SE normalization is not consistent with the stated bandwidth model. The prefactor 1/M is justified by the "total RF bandwidth of M·BW_IF", but Eq. (14) allows per-band bandwidths BW_m that are only bounded by BW_IF, and the FDMA scheme uses sub-bands of width BW_IF/M. If the BW_m are not all equal, the correct aggregate SE is a bandwidth-weighted sum rather than (1/M)Σ_mΣ_k SE_m,k. Since all numerical SE values and the qSDMA/qFDMA comparison depend on this normalization, the paper should either explicitly assume and state BW_m = BW_IF for all m, or use bandwidth weights throughout the objective.

minor comments (9)

[Abstract and Section I] The phrase "break Chu's limit" refers to a general property of atomic receivers cited from the literature, not to a result demonstrated in this paper; please rephrase to avoid implying this paper proves or demonstrates that property.
[Section II.B, Eq. (1)] The equation writes the photocurrent as a sum of analytic signal representations; please state explicitly the convention for recovering the real photocurrent (for example, ΔI_ph = L Re{Σ g_q,m E_sig,m}) and clarify whether any IF carrier remains in E_sig,m(t).
[Fig. 2 caption] The caption says "E_LO,1 and E_LO,1" and should read "E_LO,1 and E_LO,2"; the axis labels in Figs. 2-4 should also be unified with the notation E_LO,m and standard units such as dB(V/m).
[Section III.D] The statement that the quantum transconductance step requires "matrix inversion operations of size O(M^2)" is imprecise; the matrix C_0 has dimension (M+3)^2−1, and the complexity explanation should be stated in those terms.
[Section IV.A] Even if the full classical MIMO mutual-coupling comparison is deferred, the generation rule for the classical mutual coupling matrix should be specified so that the baseline is reproducible.
[Section IV.A] The symbols N_r and N_R are used interchangeably; please choose one notation for the number of receiver elements and use it consistently.
[Section II.B and Section V] The statement that experimental validation is future work appears only in Section V; it would be helpful to state near Eqs. (1), (6), and (13) that the adopted model is itself not yet experimentally validated, so that the provisional status is visible where the model is first used.
[Reference [28]] Reference [28] is a preprint; if it has been accepted or published, the citation should be updated, and if not, the manuscript should flag explicitly that the central model and noise formulas are based on an unreviewed source.
[Section IV.A] The i.i.d. Rayleigh fading assumption for all bands and users is optimistic for a compact atomic array; a brief discussion of spatial correlation and its possible effect on the SDMA results would strengthen the paper.

Circularity Check

1 steps flagged · score 4.0 of 10

Signal/noise model imported from authors' prior preprint is load-bearing, but the qWMMSE optimization and RAQ-MIMO architecture are independent algorithmic content.

self citation load bearing [Section II.A-II.B, Eq. (1) and Eq. (6); Section IV; Section V]
"In this paper, to ensure physical compliance, we adopt our quantum transconductance model [28] in the following design and optimization of RAQ-MIMO systems. ... Future works will be focused on the extremely wideband RF reception [39] enabled by the multi-band property of Rydberg atoms, and the experimental validation of the RAQ-MIMO signal model."

The simulated SE gains in Section IV are computed inside the quantum transconductance formula and the noise covariance models taken from the authors' own preprint [28] (Eqs. (1), (6), (10)-(13)). The manuscript explicitly defers experimental validation to future work, so the claimed 'demonstration' that RAQ-MIMO improves SE is a numerical consequence of the authors' own unvalidated model rather than an independent confirmation. The paper does re-derive the transconductance from a Lindblad master equation, and the qWMMSE algorithm is a genuine optimization of LO amplitudes, so the central claim is not a tautology; but the load-bearing physics rests on a self-citation.

full rationale

No algebraic circularity is present: the qWMMSE algorithm is a standard WMMSE extension with a gradient-based LO update, and the LO amplitudes a_LO are optimized rather than fitted to the SE outcomes; the SE curves are consequences of an assumed physical model, not of a parameter fitted to the predicted data. The main circularity-adjacent issue is that the signal and BBR-noise models (Eqs. (1), (6), (10)-(13)) are imported from the authors' own preprint [28], and Section V states that experimental validation is future work, so the simulated SE gains and the outperformance claim are not independently confirmed. The comparison against classical receivers with mutual coupling is also a conditional modeling statement, since MC is included only in the classical baseline, but this is an explicitly stated comparison choice rather than a hidden equation identity. Because the central algorithmic content is independent while the load-bearing physics is an unvalidated self-citation, a moderate score of 4 is warranted.

Assumptions & free parameters 2 free parameters · 5 assumptions · 1 invented entities

The central claim rests on the quantum transconductance model and the BBR noise model from the authors' prior work [28], plus the standard WMMSE equivalence. The model parameters are physical constants or hand-set simulation values; no independent experimental validation is provided, and Section V defers validation to future work.

free parameters (2)

LO field strength vector a_LO = optimized by qWMMSE, lower bound 3 mV/m
The performance gain is the result of optimizing these settings in simulation; they are not fitted to independent data, but the reported SE improvement is a simulation of this optimization rather than an independent prediction.
Hand-set laser/RF detunings Δ_p, Δ_c, Δ_l,1, Δ_l,2 = 20 Hz, -30 Hz, 10 Hz, 20 Hz
Chosen in Section IV.A to represent practical frequency drifts; they shift the quantum transconductance maps and hence the simulated spectral efficiency.

assumptions (5)

domain assumption The atomic ensemble is described by the Lindblad master equation with state decay rates and a steady-state approximation for slow-varying envelopes (Eqs. (3) and (4)).
The paper adopts this model from [28] without experimental validation in this work.
domain assumption The photocurrent response is a linear superposition of per-band quantum transconductance responses (Eq. (1)).
This linear small-signal assumption underlies the entire SDMA signal model and the SE optimization.
domain assumption The BBR noise model, including image-frequency 3 dB enhancement and the coherence factor ζ(ℓ), accurately describes the noise covariance (Eq. (13) and Appendix A).
The noise model is derived using Planck's law and equipartition but is not compared against measured receiver noise in this paper.
standard math The WMMSE equivalence theorem [33, Theorem 1] holds for the weighted sum-rate maximization with the added quantum transconductance constraint (Section III.A).
The transformation from P1 to P2 relies on a known equivalence result; this is a standard mathematical tool.
domain assumption Multi-atom interactions and thermal Doppler broadening are negligible in the simulated operating regime.
Table I identifies these as the main sources of inaccuracy of the quantum transconductance model, yet the simulations do not include their effect.

invented entities (1)

Quantum transconductance g_q,m
purpose: Maps LO field strengths to per-band receiver gain; central to the signal model and the optimization gradient.
Adopted from the authors' own preprint [28]; no independent measurement or external falsifiable handle is provided in this paper.

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Pith. "Pith review of RAQ-MIMO: MIMO for Multi-Band Rydberg Atomic Quantum Receiver." pith.science (2026). https://pith.science/paper/O5DLUMN4

@misc{pith2026250907832,
  author       = {Pith},
  title        = {Pith review of: RAQ-MIMO: MIMO for Multi-Band Rydberg Atomic Quantum Receiver},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/O5DLUMN4}},
  note         = {Machine review of arXiv:2509.07832}
}

read the original abstract

Rydberg atomic quantum receivers (RAQRs) are capable of receiving multi-band radio-frequency (RF) signals simultaneously, which are expected to break Chu's limit for classical electronic antennas. However, signals from different users will interfere with each other in the optical intermediate frequency (IF) domain of the multi-band quantum receiver, which is termed the IF interference (IFI) problem. To address this problem, in this paper, we propose a multi-input multi-output (MIMO) architecture for Rydberg atomic quantum receiver (RAQ-MIMO) by exploiting the additional spatial diversity of MIMO receivers. Specifically, by applying the dynamic signal model of RAQRs, we clarify the physical relationship between the quantum local oscillator (LO) configurations and the multi-band gains with the concept of quantum transconductance. Then, with the quantum transconductance-based signal model, we formulate the spectral efficiency (SE) maximization problem and further propose the quantum weighted minimum mean square error (qWMMSE) algorithm, which jointly optimizes the quantum LO configurations and the classical precoder/combiner matrices. Furthermore, we test the qWMMSE algorithm within the standard space division multiple access (SDMA) scheme and the frequency division multiple access (FDMA) scheme. Simulation results demonstrate that the qWMMSE optimization framework can significantly improve the SE of RAQ-MIMO systems for both multiple access schemes, and that RAQ-MIMO systems can outperform classical electronic receiver-based multi-user MIMO systems by eliminating the mutual coupling effect between classical antennas.

Figures

Figures reproduced from arXiv: 2509.07832 by the authors.

**Figure 2.** shows the dependence of the probe light transmission coefficient Tp on the LO E-field intensities ELO,m. It can be observed that the transmission Tp drops as external fields increases, showcasing the quantum EIT-AT effect [12] in the dual-LO regime. By taking the partial derivatives of [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗

**Figure 3.** Quantum transconductance gq,1 in band 1 as a function of LO E-field intensities in a dual-band (M = 2) Rydberg atomic receiver system. -0.5 0 -20 0.5 -g q 2 (mS) 1 -20 ELO2 dB(V/m) ELO1 dB(V/m) 1.5 -40 -40 -0.2 0 0.2 0.4 0.6 0.8 1 1.2 1.4 [PITH_FULL_IMAGE:figures/full_fig_p005_3.png] view at source ↗

Figures from the paper (5 more)

**Figure 4.** Figure 4: Quantum transconductance gq,2 in band 2 as a function of LO E-field intensities in a dual-band (M = 2) Rydberg atomic receiver system. in (2), which is jointly determined by the RF wave parameters {(ΩRF,m, ∆RF,m)}M m=1, the probe light parameters (Ωp, ∆p), and the cont…

**Figure 5.** Figure 5: RF to IF down-conversion process of multi-band Rydberg atomic [PITH_FULL_IMAGE:figures/full_fig_p006_5.png]

**Figure 6.** Figure 6: Weighted SE v.s. number of iterations, evaluated with different uplink [PITH_FULL_IMAGE:figures/full_fig_p011_6.png]

**Figure 7.** Figure 7: Quantum transconductance gq,m v.s. number of iterations, evaluated with different uplink transmission power. P max =5.0 dBm 10 15 20 25 0 0.05 0.1 Probability qSDMA-Opt qSDMA-NoOpt cSDMA-MC P max =10.0 dBm 10 15 20 25 Achievable spectral efficiency (bps/Hz) 0 0.05 0.1 …

**Figure 8.** Figure 8: Distribution of the weighted SE achieved by different MU-MIMO [PITH_FULL_IMAGE:figures/full_fig_p011_8.png]

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Reference graph

Works this paper leans on

38 extracted references · 30 canonical work pages · cited by 1 Pith paper

[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
[31]

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

2025
[38]

Rydberg atomic quantum MIMO receivers for the multi-user uplink,

T. Gong, C. Yuen, C. M. S. See, M. Debbah, and L. Hanzo, “Rydberg atomic quantum MIMO receivers for the multi-user uplink,” arXiv preprint arXiv:2506.01355, Jun. 2025

arXiv 2025
[1]

M. A. Nielsen and I. L. Chuang,Quantum computation and quantum information. Cambridge university press, 2010

2010
[2]

Quantum communication,

N. Gisin and R. Thew, “Quantum communication,”Nat. Photon., vol. 1, no. 3, pp. 165–171, Mar. 2007

work page 2007
[3]

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. Symp. Electro. Compat.IEEE, Jan. 2010, pp. 321–324

work page 2010
[4]

Navigation-compatible hybrid quantum accelerometer using a Kalman filter,

P. Cheiney, L. Fouch ´e, S. Templier, F. Napolitano, B. Battelier, P. Bouyer, and B. Barrett, “Navigation-compatible hybrid quantum accelerometer using a Kalman filter,”Physical Rev. Appl., vol. 10, no. 3, p. 034030, Mar. 2018

work page 2018
[5]

Compact differential gravimeter at the quantum projection-noise limit,

C. Janvier, V . M ´enoret, B. Desruelle, S. Merlet, A. Landragin, and F. Pereira dos Santos, “Compact differential gravimeter at the quantum projection-noise limit,”Physical Rev. A, vol. 105, no. 2, p. 022801, Feb. 2022

work page 2022

Show all 38 references

[6]

Approaching the standard 13 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 13 quantum limit of a Rydberg-atom microwave electrometer,”Sci. Adv., vol. 10, no. 51, p. eads0683, Dec. 2024

2024
[7]

PCB-based electrically tunable resonator for VHF band Rydberg atomic enhancement sensing,

K. Yang, X. Chen, R. Mao, J. Li, and Y . Fu, “PCB-based electrically tunable resonator for VHF band Rydberg atomic enhancement sensing,” IEEE Trans. Antennas Propagat., vol. 72, no. 7, pp. 6060–6068, Jul 2024

2024
[8]

Ultra-wide dual-band Rydberg atomic receiver based on space division multiplexing radio- frequency chip modules,

L.-H. Zhang, B. Liu, Z.-K. Liu, Z.-Y . Zhang, S.-Y . Shao, Q.-F. Wang, Y . Ma, T.-Y . Han, G.-C. Guo, D.-S. Dinget al., “Ultra-wide dual-band Rydberg atomic receiver based on space division multiplexing radio- frequency chip modules,”Chip, vol. 3, no. 2, p. 100089, Feb. 2024

2024
[9]

Terahertz receiver based on room-temperature Rydberg-atoms,

Y .-Y . Lin, Z.-Y . She, Z.-W. Chen, X.-Z. Li, C.-X. Zhang, K.-Y . Liao, X.-D. Zhang, J.-H. Chen, W. Huang, H. Yanet al., “Terahertz receiver based on room-temperature Rydberg-atoms,”Fundamental Research, Mar. 2023

2023
[10]

Theory of electromagnetic waves,

J. A. Kong, “Theory of electromagnetic waves,”New York, 1975

1975
[11]

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

S. S. Yuan, X. Y . Xu, J. Yuan, G. Xie, C. Huang, X. Chen, Z. Huang, and W. E. Sha, “Electromagnetic modeling and capacity analysis of Rydberg atom-based MIMO system,”IEEE Ant. Wirel. Propagat. Lett., Mar. 2025

2025
[12]

Stark effect in rapidly varying fields,

S. H. Autler and C. H. Townes, “Stark effect in rapidly varying fields,” Physical Review, vol. 100, no. 2, p. 703, Feb. 1955

1955
[13]

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, Aug. 2012

2012
[14]

Rydberg atom electric field sensing for metrology, communication and hybrid quantum systems,

H. Zhang, Y . Ma, K. Liao, W. Yang, Z. Liu, D. Ding, H. Yan, W. Li, and L. Zhang, “Rydberg atom electric field sensing for metrology, communication and hybrid quantum systems,”Sci. Bulletin, vol. 69, no. 10, pp. 1515–1535, Oct. 2024

2024
[15]

Quantum wireless sensing: Principle, design and implementa- tion,

F. Zhang, B. Jin, Z. Lan, Z. Chang, D. Zhang, Y . Jiao, M. Shi, and J. Xiong, “Quantum wireless sensing: Principle, design and implementa- tion,” inProc. 29th Annual Int. Conf. Mobile Comput. Netw.Association for Computing Machinery, Jan. 2023

2023
[16]

Rydberg-atom-based radio-frequency sensors: Amplitude-regime sensing,

M. Schmidt, S. Bohaichuk, V . Venu, F. Christaller, C. Liu, F. Ripka, H. K ¨ubler, and J. P. Shaffer, “Rydberg-atom-based radio-frequency sensors: Amplitude-regime sensing,”Opt. Express, vol. 32, no. 16, pp. 27 768–27 791, Jul 2024

2024
[17]

An atomic receiver for AM and FM radio communication,

D. A. Anderson, R. E. Sapiro, and G. Raithel, “An atomic receiver for AM and FM radio communication,”IEEE Trans. Antenna Propagat., vol. 69, no. 5, pp. 2455–2462, May 2020

2020
[18]

Communications: The crystal detector: By 1920, GW Pickard had tested 31 250 possible combinations of materials in search of a practical detector,

A. Douglas, “Communications: The crystal detector: By 1920, GW Pickard had tested 31 250 possible combinations of materials in search of a practical detector,”IEEE Spectrum, vol. 18, no. 4, pp. 64–69, Apr. 1981

1920
[19]

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

2025
[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. 3, Mar. 2019

2019
[21]

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

2020
[22]

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 arXiv:2412.05554, Dec. 2024

2024
[23]

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 arXiv:2501.11842, Jan. 2025

2025 arXiv
[24]

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, Jan. 2022

1997
[25]

Modeling, analysis and design for carrier aggregation in heterogeneous cellular networks,

X. Lin, J. G. Andrews, and A. Ghosh, “Modeling, analysis and design for carrier aggregation in heterogeneous cellular networks,”IEEE Trans. Commun., vol. 61, no. 9, pp. 4002–4015, Sep. 2013

2013
[26]

A multiple-band Rydberg atom- based receiver: AM/FM stereo reception,

C. L. Holloway, M. T. Simons, A. H. Haddab, J. A. Gordon, D. A. Anderson, G. Raithel, and S. V oran, “A multiple-band Rydberg atom- based receiver: AM/FM stereo reception,”IEEE Antennas Propagat. Mag., vol. 63, no. 3, pp. 63–76, Mar. 2020

2020
[27]

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 Advances, vol. 12, no. 6, p. 065118, Jun. 2022

2022
[29]

Linear response theory and Green-Kubo relations for active matter,

S. Dal Cengio, D. Levis, and I. Pagonabarraga, “Linear response theory and Green-Kubo relations for active matter,”Phys. Rev. Lett., vol. 123, no. 23, p. 238003, Dec. 2019

2019
[30]

An equivalent baseband signal model for Rydberg atomic quantum receiver aided wireless communications and sensing,

T. Gong, J. Sun, C. Yuen, G. Hu, Y . Zhao, Y . L. Guan, C. M. S. See, M. Debbah, and L. Hanzo, “An equivalent baseband signal model for Rydberg atomic quantum receiver aided wireless communications and sensing,” inProc. Int. Conf. Quantum Commun. Netw. Comput. (QCNC). IEEE, Ma...

2025
[32]

Exclusive effect in Ryd- berg atom-based multi-band microwave communication,

S. You, M. Cai, H. Zhang, Z. Xu, and H. Liu, “Exclusive effect in Ryd- berg atom-based multi-band microwave communication,” inPhotonics, vol. 10, no. 3. MDPI, Mar. 2023, p. 328

2023
[33]

An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,

Q. Shi, M. Razaviyayn, Z.-Q. Luo, and C. He, “An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,”IEEE Trans. Signal Process., vol. 59, no. 9, pp. 4331–4340, Sep. 2011

2011
[34]

J. E. Dennis Jr and R. B. Schnabel,Numerical methods for unconstrained optimization and nonlinear equations. SIAM, 1996

1996
[35]

Simultaneous multiband radio-frequency detection using high-orbital-angular-momentum states in a Rydberg- atom receiver,

G. Allinson, M. J. Jamieson, A. R. Mackellar, L. Downes, C. S. Adams, and K. J. Weatherill, “Simultaneous multiband radio-frequency detection using high-orbital-angular-momentum states in a Rydberg- atom receiver,”Phys. Rev. Research, vol. 6, no. 2, p. 023317, Feb. 2024. [36]V...

2024
[37]

A Rydberg atom-based receiver with amplitude modulation technique for the fifth-generation millimeter-wave wireless communication,

J. Yuan, T. Jin, L. Xiao, S. Jia, and L. Wang, “A Rydberg atom-based receiver with amplitude modulation technique for the fifth-generation millimeter-wave wireless communication,”IEEE Ant. Wirel. Propagat. Lett., vol. 22, no. 10, pp. 2580–2584, Oct. 2023

2023
[39]

Frequency-agile dual-band direct conversion receiver for cognitive radio systems,

E. E. Djoumessi, S. O. Tatu, and K. Wu, “Frequency-agile dual-band direct conversion receiver for cognitive radio systems,”IEEE Trans. Microwave Theory Technol., vol. 58, no. 1, pp. 87–94, Jan. 2009

2009

Pith tools

Reviewed August 15, 2026 · model on record in the stance chip above.

[1] [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

[2] [31]

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

2025

[3] [38]

Rydberg atomic quantum MIMO receivers for the multi-user uplink,

T. Gong, C. Yuen, C. M. S. See, M. Debbah, and L. Hanzo, “Rydberg atomic quantum MIMO receivers for the multi-user uplink,” arXiv preprint arXiv:2506.01355, Jun. 2025

arXiv 2025

[4] [1]

M. A. Nielsen and I. L. Chuang,Quantum computation and quantum information. Cambridge university press, 2010

2010

[5] [2]

Quantum communication,

N. Gisin and R. Thew, “Quantum communication,”Nat. Photon., vol. 1, no. 3, pp. 165–171, Mar. 2007

work page 2007

[6] [3]

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. Symp. Electro. Compat.IEEE, Jan. 2010, pp. 321–324

work page 2010

[7] [4]

Navigation-compatible hybrid quantum accelerometer using a Kalman filter,

P. Cheiney, L. Fouch ´e, S. Templier, F. Napolitano, B. Battelier, P. Bouyer, and B. Barrett, “Navigation-compatible hybrid quantum accelerometer using a Kalman filter,”Physical Rev. Appl., vol. 10, no. 3, p. 034030, Mar. 2018

work page 2018

[8] [5]

Compact differential gravimeter at the quantum projection-noise limit,

C. Janvier, V . M ´enoret, B. Desruelle, S. Merlet, A. Landragin, and F. Pereira dos Santos, “Compact differential gravimeter at the quantum projection-noise limit,”Physical Rev. A, vol. 105, no. 2, p. 022801, Feb. 2022

work page 2022