pith. sign in

arxiv: 2503.04985 · v2 · pith:XJCC64RSnew · submitted 2025-03-06 · 🪐 quant-ph

Secure Quantum Token Processing with Color Centers in Diamond

Pith reviewed 2026-05-23 00:30 UTC · model grok-4.3

classification 🪐 quant-ph
keywords quantum moneyquantum tokenscolor centersdiamondnanophotonic cavitysecure authenticationcloning attacksquantum networks
0
0 comments X

The pith

Quantum tokens encoded in diamond color centers achieve near-MHz acceptance rates while resisting optimal cloning.

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

The paper proposes a quantum token scheme rooted in Wiesner's concept, where a multi-qubit state generated by a single-photon source from color centers serves as an unforgeable token for authentication or payment. The design uses state-dependent reflection in a sawfish nanophotonic cavity together with fractional quantum gates implemented by trains of optical pi/8 pulses, reaching gate fidelities above 99 percent under realistic conditions. A comprehensive model incorporating photon bandwidth, cavity parameters, spectral diffusion, and control errors shows that near-term gains in device efficiency and conversion rates enable acceptance rates approaching the MHz regime over short-distance links. The scheme stays secure against optimal cloning attacks and can incorporate microwave control for extended storage at lower speeds. The work positions these tokens for integration into quantum networks.

Core claim

We present a quantum token scheme in which the token is a quantum state that ensures secure authentication or payment. In our approach, rooted in Wiesner's quantum money concept, a token is encoded in a multi-qubit state generated by a single-photon source and transmitted to a user who holds a quantum memory register. By leveraging state-dependent reflection from a highly efficient sawfish nanophotonic crystal cavity and implementing high-fidelity fractional quantum gates through a pulse train of optical pi/8 pulses, our design achieves gate fidelities exceeding 99% under realistic operating conditions. Our comprehensive model indicates that, with near-term improvements in device efficiency,

What carries the argument

State-dependent reflection from a sawfish nanophotonic crystal cavity combined with high-fidelity fractional quantum gates realized by trains of optical pi/8 pulses, applied to multi-qubit tokens from diamond color centers.

If this is right

  • Token acceptance rates approach the MHz regime for short-distance communication links.
  • The scheme remains robust against optimal cloning attacks.
  • Microwave control extends viability to longer storage times at reduced operational rates.
  • Tokens become integrable into larger-scale quantum networks for enhanced security.

Where Pith is reading between the lines

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

  • The cavity-based processing could be adapted for other quantum memory or gate tasks using similar color-center platforms.
  • Such tokens might support unforgeable authentication protocols in hybrid classical-quantum networks.
  • Direct measurement of acceptance rates under the paper's listed imperfections would test the model's MHz projection.

Load-bearing premise

Near-term improvements in device efficiency and conversion rates will be achieved.

What would settle it

An experimental demonstration that the token acceptance rate remains below 100 kHz even after the modeled improvements in efficiency and conversion, or that an optimal cloning attack succeeds at a higher rate than the model predicts.

Figures

Figures reproduced from arXiv: 2503.04985 by Gregor Pieplow, Mohamed Belhassen, Tim Schr\"oder, Yannick Strocka.

Figure 1
Figure 1. Figure 1: FIG. 1. In our proposed quantum token scheme enabled by G4V, the process encompasses creation, storage, retrieval, and [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2. a) Spin-photon entanglement is mediated via the [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3. Sensitivity of parameters optimized using standard [PITH_FULL_IMAGE:figures/full_fig_p006_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. Token acceptance rates under various scenarios. Unless stated otherwise, graphs a)–d) assume a fiber length of [PITH_FULL_IMAGE:figures/full_fig_p008_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5. Spectral diffusion’s standard deviation [PITH_FULL_IMAGE:figures/full_fig_p008_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6. Illustration of the behavior of the infidelity 1 [PITH_FULL_IMAGE:figures/full_fig_p014_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7. Optimized cooperativity [PITH_FULL_IMAGE:figures/full_fig_p018_7.png] view at source ↗
read the original abstract

We present a quantum token scheme in which the token is a quantum state that ensures secure authentication or payment. In our approach, rooted in Wiesner's quantum money concept, a token is encoded in a multi-qubit state generated by a single-photon source and transmitted to a user who holds a quantum memory register. By leveraging state-dependent reflection from a highly efficient sawfish nanophotonic crystal cavity and implementing high-fidelity fractional quantum gates through a pulse train of optical pi/8 pulses, our design achieves gate fidelities exceeding 99% under realistic operating conditions. We also analyze microwave control, which extends the viability to longer storage times, albeit at reduced operational rates. We rigorously examine the impact of finite photon bandwidth, cavity design parameters, spectral diffusion, and control imperfections on overall performance. Our comprehensive model indicates that, with near-term improvements in device efficiency and conversion rates, the token acceptance rate can approach the MHz regime for short-distance communication links while remaining robust against optimal cloning attacks. These findings pave the way for integrating unforgeable quantum tokens into larger-scale quantum networks, thereby significantly enhancing the security of future quantum network applications.

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

1 major / 2 minor

Summary. The manuscript proposes a quantum token scheme rooted in Wiesner's quantum money, in which a multi-qubit token state is generated by a single-photon source, stored in a color-center quantum memory, and authenticated via state-dependent reflection from a sawfish nanophotonic cavity combined with pi/8 optical pulse trains. The work develops a forward model that incorporates cavity reflection, finite photon bandwidth, spectral diffusion, microwave control, and gate imperfections, reports gate fidelities above 99% under realistic conditions, and projects that near-term improvements in device efficiency and conversion rates would enable MHz-scale token acceptance rates for short-distance links while remaining secure against optimal cloning attacks.

Significance. If the modeled performance projections are realized, the scheme could provide a concrete route toward unforgeable quantum tokens integrated with diamond-based quantum networks. The comprehensive inclusion of multiple realistic imperfections in a single forward model is a strength, though the headline MHz-rate claim is conditional on device improvements whose achievability is not quantified within the manuscript.

major comments (1)
  1. [Abstract] Abstract (final paragraph) and concluding section: the central claim that acceptance rates can approach the MHz regime is stated only under the assumption of unspecified 'near-term improvements in device efficiency and conversion rates.' No current measured efficiencies, required threshold values, or sensitivity analysis quantifying the gap between present devices and the modeled target are supplied, rendering the viability result dependent on an external, unverified assumption.
minor comments (2)
  1. Notation for the pulse-train gate sequence and the definition of the effective reflection coefficient should be introduced with an explicit equation in the main text rather than only in supplementary material.
  2. The manuscript would benefit from a table summarizing the numerical values adopted for cavity Q, spectral diffusion linewidth, and control-error standard deviation so that readers can directly compare the modeled regime to existing experiments.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their careful review and constructive feedback on our manuscript. We address the single major comment below and agree that additional quantitative details will strengthen the presentation of our performance projections.

read point-by-point responses
  1. Referee: [Abstract] Abstract (final paragraph) and concluding section: the central claim that acceptance rates can approach the MHz regime is stated only under the assumption of unspecified 'near-term improvements in device efficiency and conversion rates.' No current measured efficiencies, required threshold values, or sensitivity analysis quantifying the gap between present devices and the modeled target are supplied, rendering the viability result dependent on an external, unverified assumption.

    Authors: We agree that the manuscript would benefit from explicit quantification of current versus required device parameters. In the revised version we will add a dedicated paragraph (and supporting table) in the results/discussion section that (i) cites measured efficiencies and conversion rates from recent diamond color-center and nanophotonic-cavity experiments, (ii) states the specific threshold values needed to reach the projected MHz acceptance rate, and (iii) includes a brief sensitivity analysis showing how acceptance rate scales with efficiency and conversion. These additions will make the near-term-improvement claim self-contained and directly address the referee’s concern. revision: yes

Circularity Check

0 steps flagged

No significant circularity; model-based projections remain independent of target claims

full rationale

The manuscript constructs a forward physical model of token acceptance rates from explicit device parameters (cavity reflection, pi/8 pulse trains, spectral diffusion, control errors, photon bandwidth) and states the MHz projection only under the external precondition of unspecified near-term efficiency gains. No equation or section reduces the reported rate to a fitted parameter, self-defined quantity, or self-citation chain; the derivation chain is therefore self-contained against the listed performance target and does not exhibit any of the enumerated circularity patterns.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

Abstract-only review prevents exhaustive enumeration; the scheme rests on standard quantum optics and cavity QED assumptions plus the modeling of listed imperfections.

axioms (1)
  • standard math Standard quantum mechanics and linear optics govern the photon-cavity interaction and gate operations.
    Invoked throughout the description of state-dependent reflection and pulse-train gates.

pith-pipeline@v0.9.0 · 5732 in / 1204 out tokens · 46488 ms · 2026-05-23T00:30:33.835811+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Quantum Vault: Secure Token Authentication Without Classical State Information Benchmarked on IBMQ

    quant-ph 2026-05 unverdicted novelty 6.0

    Quantum vault stores token copies at the bank to enable secure authentication without classical side information, achieving false-negative errors below 10^{-4} and attack success below 10^{-18} for 200-token bills on ...

  2. Digital Twin Simulations Toolbox of the Nitrogen-Vacancy Center in Diamond

    quant-ph 2025-07 unverdicted novelty 5.0

    A Python library simulates NV center spin dynamics in diamond with a non-perturbative time-dependent Hamiltonian model that includes realistic pulse constraints and optical initialization/readout to predict fluorescen...

Reference graph

Works this paper leans on

99 extracted references · 99 canonical work pages · cited by 2 Pith papers

  1. [1]

    The corresponding phase settings are recorded and linked to a unique serial number s

    The rapid phase modulation required to en- able such swift changes is an active area of research [19]. The corresponding phase settings are recorded and linked to a unique serial number s. We account for photon-to-photon fluctuations (spec- tral diffusion) but neglect multiphoton contributions, as weak coherent pulses and quantum dot double excitations ha...

  2. [2]

    4 Bdc≠0 Bdc θdc Init.Spin Photon Fractional Raman Microwave Ф1 Ф2 a) b) c) FIG

    This pho- ton is reflected off the spin with another π/2 rotation between time bins before being sent back to the issuer. 4 Bdc≠0 Bdc θdc Init.Spin Photon Fractional Raman Microwave Ф1 Ф2 a) b) c) FIG. 2. a) Spin-photon entanglement is mediated via the sawfish cavity-to-fiber interface [20, 21], with the SnV center serving as a representative G4V system (...

  3. [3]

    A high emission rate ensures that even if photon losses occur during transmission from the source to the quantum memory, sufficient photons still reach the mem- ory

    and use the SnV as the representative G4V spin sys- tem. A high emission rate ensures that even if photon losses occur during transmission from the source to the quantum memory, sufficient photons still reach the mem- ory. We choose a magnetic field strength ofBdc = 3.0 T and an azimuthal angle of θdc = 43 .11◦ with respect to the defect’s symmetry axis (...

  4. [4]

    Spin dephasing due to phonons is given in App

    we assume Bdc = 1.0 T, Bac = 10 −3 T, θdc = π/2, θac = 0, and T = 0.1 K. Spin dephasing due to phonons is given in App. I 1, and the electronic spin decay and excitation rates in App. B 1. For the nuclear spin, we assume a swap fidelity of 0 .9993(5) with a gate duration Tg = 0 .1 ms [61] and a nuclear spin dephasing time of T2 = 1 s [62] (see App. I 2). ...

  5. [5]

    For evaluating γa in Fig

    and previous theoretical studies [65]. For evaluating γa in Fig. 5 we explicitly calculate the density matrix of the stored state in the presence of spectral diffusion (see App. H). The results indicate that γa varies only minimally across the studied parameter range, demonstrating that the acceptance rate is remarkably robust to spectral dif- fusion—a fi...

  6. [6]

    H. U. Khan, M. Sohail, S. Nazir, T. Hussain, B. Shah, and F. Ali, J. Big Data 10 (2023)

  7. [7]

    A systematic review of user authentication security in electronic payment sys- 10 tem,

    M. A. Hassan and Z. Shukur, “A systematic review of user authentication security in electronic payment sys- 10 tem,” in Proceedings of International Conference on Data Science and Applications (Springer Nature Singapore,

  8. [8]

    Pinchis-Paulsen, J

    M. Pinchis-Paulsen, J. Int. Econ. Law 25, 527–547 (2022)

  9. [9]

    Shikata, Cryptology ePrint Archive (2015)

    J. Shikata, Cryptology ePrint Archive (2015)

  10. [10]

    Gassend, D

    B. Gassend, D. Clarke, M. van Dijk, and S. Devadas, in Proceedings of the 37th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-37) (2004) pp. 148–160

  11. [11]

    Wiesner, ACM SIGACT News 15, 78 (1983)

    S. Wiesner, ACM SIGACT News 15, 78 (1983)

  12. [12]

    Basu and S

    A. Basu and S. Muylle, Commun. of the ACM 46, 159–166 (2003)

  13. [13]

    Ben-David and O

    S. Ben-David and O. Sattath, Quantum 7, 901 (2023)

  14. [14]

    Karzand and L

    M. Karzand and L. R. Varshney, IEEE Xplore (2015)

  15. [15]

    Broadbent, S

    A. Broadbent, S. Gharibian, and H.-S. Zhou, Quantum 5, 429 (2021)

  16. [16]

    Pastawski, N

    F. Pastawski, N. Y. Yao, L. Jiang, M. D. Lukin, and J. I. Cirac, Proc. Natl. Acad. Sci. U.S.A. 109, 16079 (2012)

  17. [17]

    Georgiou and I

    M. Georgiou and I. Kerenidis, LIPIcs, Volume 44, TQC 2015 44, 92 (2015)

  18. [18]

    Bartkiewicz, A

    K. Bartkiewicz, A. ˇCernoch, G. Chimczak, K. Lemr, A. Miranowicz, and F. Nori, npj Quantum Inf. 3, 1 (2017)

  19. [19]

    Jir´ akov´ a, K

    K. Jir´ akov´ a, K. Bartkiewicz, A.ˇCernoch, and K. Lemr, Sci. Rep. 9, 16318 (2019)

  20. [20]

    Bilyk, J

    A. Bilyk, J. Doliskani, and Z. Gong, Quantum Inf. Pro- cess. 22 (2023)

  21. [21]

    Kent, Proc

    A. Kent, Proc. R. Soc. A 475, 20190170 (2019)

  22. [22]

    J. P. Lee, L. M. Wells, B. Villa, S. Kalliakos, R. M. Stevenson, D. J. P. Ellis, I. Farrer, D. A. Ritchie, A. J. Bennett, and A. J. Shields, Phys. Rev. X 8 (2018)

  23. [23]

    Bouchard, D

    F. Bouchard, D. England, P. J. Bustard, K. Heshami, and B. Sussman, Phys. Rev. X Quantum 3 (2022)

  24. [24]

    H. Yu, S. Sciara, M. Chemnitz, N. Montaut, B. Crock- ett, B. Fischer, R. Helsten, B. Wetzel, T. A. Goebel, R. G. Kr¨ amer, B. E. Little, S. T. Chu, S. Nolte, Z. Wang, J. Aza˜ na, W. J. Munro, D. J. Moss, and R. Morandotti, Nat. Commun. 16 (2025)

  25. [25]

    J. M. Bopp, M. Plock, T. Turan, G. Pieplow, S. Burger, and T. Schr¨ oder, Adv. Opt. Mater.12, 2301286 (2024)

  26. [26]

    Pregnolato, M

    T. Pregnolato, M. E. Stucki, J. M. Bopp, M. H. V. D. Ho- even, A. Gokhale, O. Kr¨ uger, and T. Schr¨ oder, APL Photonics 9, 036105 (2024)

  27. [27]

    Thiering and A

    G. Thiering and A. Gali, Phys. Rev. X 8, 021063 (2018)

  28. [28]

    M. K. Bhaskar, R. Riedinger, B. Machielse, D. S. Levo- nian, C. T. Nguyen, E. N. Knall, H. Park, D. Englund, M. Lonˇ car, D. D. Sukachev, and M. D. Lukin, Nature 580, 60–64 (2020)

  29. [29]

    C. M. Knaut, A. Suleymanzade, Y.-C. Wei, D. R. As- sumpcao, P.-J. Stas, Y. Q. Huan, B. Machielse, et al. , Nature 629, 573 (2024)

  30. [30]

    K. C. Chen, I. Christen, H. Raniwala, M. Colangelo, L. D. Santis, K. Shtyrkova, D. Starling, R. Murphy, L. Li, K. Berggren, P. B. Dixon, M. Trusheim, and D. Englund, Opt. Quantum 2, 124 (2024)

  31. [31]

    R. A. Parker, J. Arjona Mart´inez, K. C. Chen, A. M. Stramma, I. B. Harris, C. P. Michaels, M. E. Trusheim, M. Hayhurst Appel, C. M. Purser, W. G. Roth, D. En- glund, and M. Atat¨ ure, Nat. Photonics18, 156 (2024)

  32. [32]

    Bradac, W

    C. Bradac, W. Gao, J. Forneris, M. E. Trusheim, and I. Aharonovich, Nat. Commun. 10 (2019)

  33. [33]

    W. P. Ambrose and W. E. Moerner, Nature 349, 225 (1991)

  34. [34]

    V. M. Acosta, C. Santori, A. Faraon, Z. Huang, K.- M. C. Fu, A. Stacey, D. A. Simpson, K. Ganesan, S. Tomljenovic-Hanic, A. D. Greentree, S. Prawer, and R. G. Beausoleil, Phys. Rev. Lett. 108, 206401 (2012)

  35. [35]

    Orphal-Kobin, K

    L. Orphal-Kobin, K. Unterguggenberger, T. Pregno- lato, N. Kemf, M. Matalla, R.-S. Unger, I. Ostermay, G. Pieplow, and T. Schr¨ oder, Phys. Rev. X 13, 011042 (2023)

  36. [36]

    M. E. Trusheim, B. Pingault, N. H. Wan, M. G¨ undo˘ gan, L. D. Santis, R. Debroux, D. Gangloff, C. Purser, K. C. Chen, M. Walsh, J. J. Rose, J. N. Becker, B. Lienhard, E. Bersin, I. Paradeisanos, G. Wang, D. Lyzwa, A. R.-P. Montblanch, G. Malladi, H. Bakhru, A. C. Ferrari, I. A. Walmsley, M. Atat¨ ure, and D. Englund, Phys. Rev. Lett. 124 (2020)

  37. [37]

    I. B. W. Harris and D. Englund, Phys. Rev. B 109, 085414 (2024)

  38. [38]

    C. Hepp, T. M¨ uller, V. Waselowski, J. N. Becker, B. Pin- gault, H. Sternschulte, D. Steinm¨ uller-Nethl, A. Gali, J. R. Maze, M. Atat¨ ure, and C. Becher, Phys. Rev. Lett. 112, 036405 (2014)

  39. [39]

    Wiesner, ACM SIGACT News 15, 78–88 (1983)

    S. Wiesner, ACM SIGACT News 15, 78–88 (1983)

  40. [40]

    Optimal counter- feiting attacks and generalizations for wiesner’s quantum money,

    A. Molina, T. Vidick, and J. Watrous, “Optimal counter- feiting attacks and generalizations for wiesner’s quantum money,” in Theory of Quantum Computation, Commu- nication, and Cryptography (Springer Berlin Heidelberg,

  41. [41]

    M. E. Reimer and C. Cher, Nat. Photonics 13, 734–736 (2019)

  42. [42]

    Y. Shao, L. Chen, and S. Wen, Microw. Opt. Technol. Lett. 49, 755–759 (2007)

  43. [43]

    I. B. Harris, C. P. Michaels, K. C. Chen, R. A. Parker, M. Titze, J. Arjona Mart´inez, M. Sutula, I. R. Christen, A. M. Stramma, W. Roth, C. M. Purser, M. H. Appel, C. Li, M. E. Trusheim, N. L. Palmer, M. L. Markham, E. S. Bielejec, M. Atat¨ ure, and D. Englund, Phys. Rev. X Quantum 4 (2023)

  44. [44]

    Borregaard, H

    J. Borregaard, H. Pichler, T. Schr¨ oder, M. D. Lukin, P. Lodahl, and A. S. Sørensen, Phys. Rev. X 10, 021071 (2020)

  45. [45]

    Bozzio, A

    M. Bozzio, A. Orieux, L. Trigo Vidarte, I. Zaquine, I. Kerenidis, and E. Diamanti, npj Quantum Inf. 4 (2018)

  46. [46]

    Senellart, G

    P. Senellart, G. Solomon, and A. White, Nat. Nanotech- nol. 12, 1026–1039 (2017)

  47. [47]

    Color centers based on heavy group-iv el- ements,

    T. Iwasaki, “Color centers based on heavy group-iv el- ements,” in Diamond for Quantum Applications Part 1 (Elsevier, 2020) p. 237–256

  48. [48]

    A. M. Basharov, J. Exp. Theor. Phys. 110, 951–965 (2010)

  49. [49]

    Reiserer and G

    A. Reiserer and G. Rempe, Rev. Mod. Phys. 87, 1379 (2015)

  50. [50]

    H. K. C. Beukers, C. Waas, M. Pasini, H. B. van Ommen, Z. Ademi, M. Iuliano, N. Codreanu, J. M. Brevoord, T. Turan, T. H. Taminiau, and R. Hanson, arXiv:2409.08977 (2024)

  51. [51]

    F. Wang, M. Ren, W. Sun, M. Guo, M. J. Sellars, R. L. Ahlefeldt, J. G. Bartholomew, J. Yao, S. Liu, and M. Zhong, Phys. Rev. X Quantum 6 (2025)

  52. [52]

    Omlor, B

    F. Omlor, B. Tissot, and G. Burkard, Phys. Rev. A 111 (2025)

  53. [53]

    E. I. Rosenthal, C. P. Anderson, H. C. Kleidermacher, A. J. Stein, H. Lee, J. Grzesik, G. Scuri, A. E. Rugar, D. Riedel, S. Aghaeimeibodi, G. H. Ahn, K. Van Gasse, 11 and J. Vuˇ ckovi´ c, Phys. Rev. X13, 031022 (2023)

  54. [54]

    Karapatzakis, J

    I. Karapatzakis, J. Resch, M. Schrodin, P. Fuchs, M. Ki- eschnick, J. Heupel, L. Kussi, C. S¨ urgers, C. Popov, J. Meijer, C. Becher, W. Wernsdorfer, and D. Hunger, Phys. Rev. X 14 (2024)

  55. [55]

    Pieplow, M

    G. Pieplow, M. Belhassen, and T. Schr¨ oder, Phys. Rev. B 109, 115409 (2024)

  56. [56]

    J. N. Becker, B. Pingault, D. Groß, M. G¨ undo˘ gan, N. Kukharchyk, M. Markham, A. Edmonds, M. Atat¨ ure, P. Bushev, and C. Becher, Phys. Rev. Lett. 120 (2018)

  57. [57]

    Debroux, C

    R. Debroux, C. P. Michaels, C. M. Purser, N. Wan, M. E. Trusheim, J. Arjona Mart´inez, R. A. Parker, A. M. Stramma, K. C. Chen, L. de Santis, E. M. Alexeev, A. C. Ferrari, D. Englund, D. A. Gangloff, and M. Atat¨ ure, Phys. Rev. X 11, 041041 (2021)

  58. [58]

    Takou and S

    E. Takou and S. E. Economou, Phys. Rev. B 104 (2021)

  59. [59]

    Pieplow, Y

    G. Pieplow, Y. Strocka, M. Isaza-Monsalve, J. H. D. Munns, and T. Schr¨ oder, arXiv:2312.03952 (2023)

  60. [60]

    Lodahl, A

    P. Lodahl, A. Ludwig, and R. J. Warburton, Phys. To- day 75, 44–50 (2022)

  61. [61]

    Zaske, A

    S. Zaske, A. Lenhard, C. A. Kessler, C. Hepp, W. H. R. Koslowski, and M. Becher, Opt. Express 19, 12825 (2011)

  62. [62]

    Gilchrist, N

    A. Gilchrist, N. K. Langford, and M. A. Nielsen, Phys. Rev. A 71, 062310 (2005)

  63. [63]

    Cherednichenko, N

    S. Cherednichenko, N. Acharya, E. Novoselov, and V. Drakinskiy, Supercond. Sci. Technol. 34, 044001 (2021)

  64. [64]

    Grotowski, L

    S. Grotowski, L. Zugliani, B. Jonas, R. Flaschmann, C. Schmid, S. Strohauer, F. Wietschorke, N. Bruckmoser, M. M¨ uller, M. Althammer, R. Gross, K. M¨ uller, and J. Finley, Sci. Rep. 15 (2025)

  65. [65]

    K. J. Wo, G. Avis, F. Rozpedek, M. F. Mor-Ruiz, G. Pieplow, T. Schr¨ oder, L. Jiang, A. S. Sørensen, and J. Borregaard, npj Quantum Inf. 9 (2023)

  66. [66]

    H. P. Bartling, J. Yun, K. N. Schymik, M. van Rigge- len, L. A. Enthoven, H. B. van Ommen, M. Babaie, F. Sebastiano, M. Markham, D. J. Twitchen, and T. H. Taminiau, arXiv:2403.10633 (2024)

  67. [67]

    Grimm, K

    N. Grimm, K. Senkalla, P. J. Vetter, J. Frey, P. Gund- lapalli, T. Calarco, G. Genov, M. M. M¨ uller, and F. Jelezko, Phys. Rev. Lett. 134, 043603 (2025)

  68. [68]

    S. D. Barrett and P. Kok, Phys. Rev. A 71, 060310 (2005)

  69. [69]

    Orphal-Kobin, C

    L. Orphal-Kobin, C. G. Torun, J. M. Bopp, G. Pieplow, and T. Schr¨ oder, Adv. Quantum Technol. (2024)

  70. [70]

    Kambs and C

    B. Kambs and C. Becher, New J. Phys. 20, 115003 (2018)

  71. [71]

    Komza, X

    L. Komza, X. Zhang, H. Song, Y.-L. Tang, X. Wei, and A. Sipahigil, arXiv:2501.17339 (2025)

  72. [72]

    H. Cao, L. Hansen, F. Giorgino, L. Carosini, P. Zah´ alka, F. Zilk, J. Loredo, and P. Walther, Phys. Rev. Lett. 132 (2024)

  73. [73]

    C. E. Bradley, J. Randall, M. H. Abobeih, R. C. Berrevoets, M. J. Degen, M. A. Bakker, M. Markham, D. J. Twitchen, and T. H. Taminiau, Phys. Rev. X 9 (2019)

  74. [74]

    Virtanen and et al., Nat

    P. Virtanen and et al., Nat. Methods 17, 261–272 (2020)

  75. [75]

    D. G. Mayer, B. P. Kinghorn, and A. A. Archer, Agric. Syst. 83, 315 (2005)

  76. [76]

    D. M. Olsson and L. S. Nelson, Technometrics 17, 45 (1975)

  77. [77]

    M. E. Trusheim, B. Pingault, N. H. Wan, M. G¨ undo˘ gan, L. De Santis, R. Debroux, D. Gangloff, C. Purser, K. C. Chen, M. Walsh, J. J. Rose, J. N. Becker, B. Lienhard, E. Bersin, I. Paradeisanos, G. Wang, D. Lyzwa, A. R.-P. Montblanch, G. Malladi, H. Bakhru, A. C. Ferrari, I. A. Walmsley, M. Atat¨ ure, and D. Englund, Phys. Rev. Lett. 124, 023602 (2020)

  78. [78]

    Bayn and J

    I. Bayn and J. Salzman, Opt. Express 16, 4972 (2008)

  79. [79]

    J.-M. L. Floch, R. Bara, J. G. Hartnett, M. E. To- bar, D. Mouneyrac, D. Passerieux, D. Cros, J. Krupka, P. Goy, and S. Caroopen, J. Appl. Phys. 109, 094103 (2011)

  80. [80]

    B. W. Shore and P. L. Knight, J. Mod. Opt. 40, 1195 (1993)

Showing first 80 references.