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arxiv: 2604.24870 · v1 · submitted 2026-04-27 · 🪐 quant-ph

Demonstration of quantum random number generation using nitrogen vacancy centres

Pith reviewed 2026-05-08 03:49 UTC · model grok-4.3

classification 🪐 quant-ph
keywords quantum random number generationnitrogen vacancy centersnanodiamondsphoton arrival timesmin-entropystatistical randomness testsfluorescent nanodiamonds
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The pith

Photon arrival times from NV centers in nanodiamonds generate random bits passing statistical tests at rates up to 4.77 Mbits/s without post-processing.

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

The paper demonstrates an experimental method that turns the arrival times of photons emitted by nitrogen-vacancy centers in fluorescent nanodiamonds into a source of random bits. Rates range from 0.173 Mbits/s with a single center up to 4.77 Mbits/s with nearly 50 centers, an order-of-magnitude gain over earlier NV approaches. The bits pass the ENT and NIST test suites directly, and theoretical calculations show the min-entropy stays close to the ideal value of one per bit across all tested regions. A sympathetic reader cares because cryptography and simulations need reliable randomness that cannot be predicted by classical means, and this source is compact enough for on-chip use.

Core claim

The arrival times of photons emitted by NV centres in nanodiamonds serve as the entropy source for quantum random number generation, producing bit strings that pass the ENT and NIST statistical test suites without post-processing while achieving a min-entropy very close to one per bit at generation rates up to 4.77 Mbits/s.

What carries the argument

The quantum-mechanical timing statistics of photon emission from the NV centers, which supply the unpredictable intervals used to extract each random bit.

If this is right

  • Random bits can be extracted directly from raw timing data without post-processing.
  • Generation rate increases with the number of NV centers present in the observed region.
  • The measured min-entropy remains near the ideal limit for both single-center and multi-center regions.
  • The approach supports compact on-chip QRNG implementations.

Where Pith is reading between the lines

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

  • Combining this timing source with nanodiamond-based quantum sensors could produce devices that both measure physical quantities and generate fresh cryptographic keys on the same chip.
  • Eliminating post-processing reduces the hardware overhead needed to turn the raw timing signal into usable random numbers.
  • Repeating the experiment under controlled temperature or magnetic-field variations would test whether environmental classical noise stays negligible.
  • Arrays of nanodiamonds could be patterned to enable parallel, independent bit streams at still higher aggregate rates.

Load-bearing premise

Photon arrival times from the NV centers are governed solely by quantum mechanical processes with no significant classical noise, correlations, or detector artifacts that would reduce the true randomness below the reported min-entropy.

What would settle it

Detailed measurement of photon arrival intervals that reveals non-Poisson statistics or classical correlations would reduce the min-entropy and cause the generated bits to fail the NIST suite.

Figures

Figures reproduced from arXiv: 2604.24870 by Conrad Strydom, Mark Tame.

Figure 1
Figure 1. Figure 1: FIG. 1: Laser-scanning confocal microscopy setup used to excite NV centres in fluorescent nanodiamonds and collect the emit view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2: Different configurations for the various types of view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4: Three-level model developed for NV centres by view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3: Fluorescence scan image of an area of the nanodia view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5: The second-order temporal correlation functions for the different regions of interest. The data points (shown in blue) view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6: The time-of-arrival scheme for QRNG. (a) Variation view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7: Theoretical analysis of QRNG based on the arrival view at source ↗
Figure 8
Figure 8. Figure 8: FIG. 8: Theoretical analysis of QRNG based on the arrival view at source ↗
Figure 9
Figure 9. Figure 9: FIG. 9: Pearson correlation coefficients for view at source ↗
Figure 10
Figure 10. Figure 10: FIG. 10: Fluorescence spectra for the different regions of interest. These fluorescence spectra are an average of 10 measurements, view at source ↗
read the original abstract

Quantum random number generation (QRNG) relies on the inherent unpredictability of quantum mechanical phenomena to efficiently generate high-quality random numbers that can be used in a wide range of cryptography and simulation applications. Here we report the experimental demonstration of QRNG from the arrival times of photons emitted by nitrogen vacancy (NV) centres in fluorescent nanodiamonds. The generation rates achieved range from 0.173 Mbits/s for a region with a single NV centre to 4.77 Mbits/s for a region with just under 50 NV centres, where the latter demonstrates an order of magnitude improvement compared to the highest generation rate previously achieved with NV centres. For all the regions investigated, the generated bits passed the ENT and NIST Statistical Test Suites without post-processing. The results are consistent with our theoretical analysis, where we show that the min-entropy is very close to the ideal value of one per bit for all the regions investigated. This work opens up new possibilities for robust QRNG in highly compact on-chip settings.

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 / 1 minor

Summary. The manuscript reports an experimental demonstration of quantum random number generation (QRNG) using photon arrival times from nitrogen-vacancy (NV) centers in fluorescent nanodiamonds. Achieved bit rates range from 0.173 Mbit/s (single NV) to 4.77 Mbit/s (~50 NV centers), with generated bits passing ENT and NIST statistical test suites without post-processing. The min-entropy is reported as very close to the ideal value of 1 bit per bit across investigated regions, consistent with a theoretical model of the emission process.

Significance. If the quantum origin of the randomness is rigorously validated, the work offers a compact, on-chip QRNG platform with rates an order of magnitude higher than prior NV demonstrations. The absence of post-processing and high min-entropy would be a practical strength for cryptography and simulation applications.

major comments (1)
  1. [Theoretical analysis / min-entropy estimation] The min-entropy analysis (theoretical section) assumes photon inter-arrival times arise solely from the quantum excited-state lifetime distribution (Poisson-like process) with negligible classical contributions. No quantitative error budget, upper bounds, or experimental characterization is provided for detector timing jitter, dead time, afterpulsing, or laser intensity fluctuations. This assumption is load-bearing for the central claims that min-entropy ≈ 1 bit/bit and no post-processing is required; if classical noise is present at even moderate levels, the true extractable randomness would be lower even if statistical tests pass.
minor comments (1)
  1. [Abstract and Results] The abstract and results section report rates and test-suite passage but do not specify the total number of bits tested, the exact NIST tests applied, or the raw data volume used for the min-entropy calculation.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their detailed and constructive review of our manuscript. Their comment highlights an important aspect of rigorously validating the quantum origin of the randomness. We address the major comment point-by-point below and outline the revisions we will make.

read point-by-point responses
  1. Referee: The min-entropy analysis (theoretical section) assumes photon inter-arrival times arise solely from the quantum excited-state lifetime distribution (Poisson-like process) with negligible classical contributions. No quantitative error budget, upper bounds, or experimental characterization is provided for detector timing jitter, dead time, afterpulsing, or laser intensity fluctuations. This assumption is load-bearing for the central claims that min-entropy ≈ 1 bit/bit and no post-processing is required; if classical noise is present at even moderate levels, the true extractable randomness would be lower even if statistical tests pass.

    Authors: We agree that an explicit quantitative error budget would strengthen the manuscript and make the claims more robust. The theoretical model in the paper is based on the known radiative lifetime of the NV center (approximately 12 ns for the excited state), leading to an exponential inter-arrival time distribution whose min-entropy is calculated to be very close to 1 bit per bit. The experimental histograms of arrival times match this distribution closely across the investigated regions, and the generated bits pass all ENT and NIST tests without any post-processing. However, we acknowledge that manufacturer-specified timing jitter (typically <50 ps for the detectors used), dead time, afterpulsing probability, and laser intensity stability were not quantitatively propagated into the min-entropy bound in the original submission. In the revised manuscript we will add a dedicated subsection providing upper-bound estimates on the classical noise contribution using the detector specifications, measured count rates, and a simple model of how jitter and dead time would distort the inter-arrival distribution. We will also include a brief discussion of why these contributions remain small relative to the quantum lifetime broadening at the observed count rates (0.173–4.77 Mbit/s). This addition will not alter the central experimental results or the conclusion that post-processing is unnecessary, but it will directly address the load-bearing assumption raised by the referee. revision: yes

Circularity Check

0 steps flagged

No significant circularity in derivation chain

full rationale

The paper reports an experimental QRNG demonstration using measured photon arrival times from NV centers. Randomness is validated by passing independent external suites (ENT, NIST) with no post-processing, and min-entropy is computed from a first-principles quantum emission model (Poisson-like arrivals from excited-state lifetime). No equations reduce the reported min-entropy or test-passing results to fitted parameters renamed as predictions, self-citations that bear the uniqueness claim, or ansatzes smuggled via prior work. The theoretical analysis is consistent with data but not tautological; external benchmarks and statistical tests provide independent support.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central claim rests on the assumption that NV-center photon emission is a quantum process whose timing statistics yield near-ideal min-entropy, validated by external statistical tests.

axioms (1)
  • domain assumption Photon arrival times from NV centers in nanodiamonds are governed by quantum mechanics and exhibit sufficient unpredictability for QRNG.
    Invoked in the theoretical min-entropy analysis and experimental interpretation.

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Reference graph

Works this paper leans on

86 extracted references · 86 canonical work pages

  1. [1]

    A single-photon emitter For any light source, we show in Appendix C that uni- form random numbers will be generated by an imple- mentation of the time-of-arrival scheme, provided that no multi-photon events can occur during a time interval of lengthT. However, even for an ideal single-photon 8 source (which never emits multiple photons simultane- ously) t...

  2. [2]

    We simply need to find the prob- ability ofnphotons fromNsingle-photon emitters ar- riving during a time interval of lengtht, which we de- note byP (N) t (n)

    Multiple single-photon emitters Our theory for a single-photon emitter can easily be generalised to the case where multiple single-photon emitters are present. We simply need to find the prob- ability ofnphotons fromNsingle-photon emitters ar- riving during a time interval of lengtht, which we de- note byP (N) t (n). To this end, we assume that theN singl...

  3. [3]

    Shannon, C. E. Communication theory of secrecy sys- tems.Bell Syst. Tech. J.28, 656–715 (1949)

  4. [4]

    & Ulam, S

    Metropolis, N. & Ulam, S. The Monte Carlo method.J. Am. Stat. Assoc.44, 335–341 (1949)

  5. [5]

    Lewis, T. G. & Payne, W. H. Generalized feedback shift register pseudorandom number algorithm.J. ACM20, 456–468 (1973)

  6. [6]

    & Shub, M

    Blum, L., Blum, M. & Shub, M. A simple unpredictable pseudo-random number generator.SIAM J. Comput.15, 364–383 (1986)

  7. [7]

    & Nishimura, T

    Matsumoto, M. & Nishimura, T. Mersenne twister: a 623-dimensionally equidistributed uniform pseudo- random number generator.ACM Trans. Model. Comput. Simul.8, 3–30 (1998)

  8. [8]

    & Marks, R

    Amigo, G., Dong, L. & Marks, R. J. Forecasting pseudo random numbers using deep learning in2021 15th Inter- national Conference on Signal Processing and Communi- cation Systems (ICSPCS)1–7 (IEEE, 2021)

  9. [9]

    & Hryniuk, T

    Proskurin, D., Iavich, M., Okhrimenko, T., Chuk- wukaelonma, O. & Hryniuk, T. Predicting pseudo- random number generator output with sequential analy- sis inProceedings of the Cyber Security and Data Protec- tion42–57 (CEUR-WS.org, 2024)

  10. [10]

    Dogaru, I.&Dogaru, R.FPGAimplementationandeval- uation of two cryptographically secure hybrid cellular au- tomata in2014 10th International Conference on Com- munications (COMM)1–4 (IEEE, 2014)

  11. [11]

    Panda, A. K. & Ray, K. C. FPGA prototype of low la- tency BBS PRNG in2015 IEEE International Sympo- sium on Nanoelectronic and Information Systems118– 123 (IEEE, 2015)

  12. [12]

    & Singh, R

    Mongia, V., Kumar, A., Prabhakar, S. & Singh, R. P. Strengthening the no-go theorem for QRNGs. arXiv:2503.18026 (2025)

  13. [13]

    & Zhang, Z

    Ma, X., Yuan, X., Cao, Z., Qi, B. & Zhang, Z. Quantum random number generation.npj Quantum Inf.2, 16021 (2016)

  14. [14]

    & Garcia-Escartin, J

    Herrero-Collantes, M. & Garcia-Escartin, J. C. Quantum random number generators.Rev. Mod. Phys.89, 015004 (2017)

  15. [15]

    & Pathak, A

    Mannalatha, V., Mishra, S. & Pathak, A. A comprehen- sive review of quantum random number generators: con- cepts, classification and the origin of randomness.Quan- tum Inf. Process.22, 439 (2023)

  16. [16]

    & Ikeda, H

    Isida, M. & Ikeda, H. Random number generator.Ann. Inst. Stat. Math.8, 119–126 (1956)

  17. [17]

    Vincent, C. H. The generation of truly random binary numbers.J. Phys. E: Sci. Instrum.3, 594–598 (1970)

  18. [18]

    Quantum-mechanical random-number gen- erator.J

    Schmidt, H. Quantum-mechanical random-number gen- erator.J. Appl. Phys.41, 462–468 (1970)

  19. [19]

    & Shikano, Y

    Tamura, K. & Shikano, Y. Quantum random numbers generatedbyacloudsuperconductingquantumcomputer inInternational Symposium on Mathematics, Quantum Theory, and Cryptography17–37 (Springer, 2021)

  20. [20]

    & Tame, M

    Strydom, C. & Tame, M. S. Random number genera- tion using IBM quantum processors inThe Proceedings of SAIP2021, the 65th Annual Conference of the South African Institute of Physics630–635 (SAIP, 2021)

  21. [21]

    Li, Y., Fei, Y., Wang, W., Meng, X., Wang, H., Duan, Q. & Ma, Z. Quantum random number generator us- ing a cloud superconducting quantum computer based on source-independent protocol.Sci. Rep.11, 23873 (2021)

  22. [22]

    Liu, M.et al.Certified randomness using a trapped-ion quantum processor.Nature640, 343–348 (2025)

  23. [23]

    & Zbinden, H

    Stefanov, A., Gisin, N., Guinnard, O., Guinnard, L. & Zbinden, H. Optical quantum random number generator. J. Mod. Opt.47, 595–598 (2000)

  24. [24]

    & Zeilinger, A

    Jennewein, T., Achleitner, U., Weihs, G., Weinfurter, H. & Zeilinger, A. A fast and compact quantum ran- dom number generator.Rev. Sci. Instrum.71, 1675–1680 (2000)

  25. [25]

    T., Zhang, X., Özdemir, Ş

    Francis, J. T., Zhang, X., Özdemir, Ş. K. & Tame, M. S. Quantum random number generation using an on- chip plasmonic beamsplitter.Quantum Sci. Technol.2, 035004 (2017)

  26. [26]

    & Tame, M

    Strydom, C. & Tame, M. S. Quantum random number generation using an on-chip linear plasmonic beamsplit- ter inThe Proceedings of SAIP2023, the 67th Annual Conference of the South African Institute of Physics282– 287 (SAIP, 2023)

  27. [27]

    Q., Xie, Y

    Ma, H. Q., Xie, Y. & Wu, L. A. Random number genera- tion based on the time of arrival of single photons.Appl. Opt.44, 7760–7763 (2005)

  28. [28]

    F., Yuan, Z

    Dynes, J. F., Yuan, Z. L., Sharpe, A. W. & Shields, A. J. A high speed, postprocessing free, quantum random number generator.Appl. Phys. Lett.93, 031109 (2008)

  29. [29]

    A., Jeffrey, E

    Wayne, M. A., Jeffrey, E. R., Akselrod, G. M. & Kwiat, P. G. Photon arrival time quantum random number gen- eration.J. Mod. Opt.56, 516–522 (2009)

  30. [30]

    Wahl, M., Leifgen, M., Berlin, M., Röhlicke, T., Rahn, H. J. & Benson, O. An ultrafast quantum random number generator with provably bounded output bias based on photon arrival time measurements.Appl. Phys. Lett.98, 171105 (2011)

  31. [31]

    Q., Zhang, H

    Nie, Y. Q., Zhang, H. F., Zhang, Z., Wang, J., Ma, X., Zhang, J. & Pan, J. W. Practical and fast quantum ran- dom number generation based on photon arrival time rel- ative to external reference.Appl. Phys. Lett.104, 051110 (2014)

  32. [32]

    & Yang, H

    Yan, Q., Zhao, B., Hua, Z., Liao, Q. & Yang, H. High- speed quantum random number generation by continu- ous measurement of arrival time of photons.Rev. Sci. Instrum.86, 073113 (2015)

  33. [33]

    & Zim- mermanna, H

    Khanmohammadi, A., Enne, R., Hofbauer, M. & Zim- mermanna, H. A monolithic silicon quantum random number generator based on measurement of photon de- tection time.IEEE Photon. J.7, 1–13 (2015)

  34. [34]

    Strydom, C., Soleymani, S., Özdemir, Ş. K. & Tame, M. S. Quantum random number generation using an on-chip nanowire plasmonic waveguide.New J. Phys.26, 043002 (2024)

  35. [35]

    L., Marquardt, C

    Gabriel, C., Wittmann, C., Sych, D., Dong, R., Mauerer, W., Andersen, U. L., Marquardt, C. & Leuchs, G. A generator for unique quantum random numbers based on vacuum states.Nat. Photonics4, 711–715 (2010)

  36. [36]

    & Kurtsiefer, C

    Shi, Y., Chng, B. & Kurtsiefer, C. Random numbers from vacuum fluctuations.Appl. Phys. Lett.109, 041101 (2016)

  37. [37]

    H., Sibson, P., Ken- nard, J

    Raffaelli, F., Ferranti, G., Mahler, D. H., Sibson, P., Ken- nard, J. E., Santamato, A., Sinclair, G., Bonneau, D., Thompson, M. G. & Matthews, J. C. F. A homodyne detector integrated onto a photonic chip for measuring 14 quantum states and generating random numbers.Quan- tum Sci. Technol.3, 025003 (2018)

  38. [38]

    R., Nie, Y

    Bai, B., Huang, J., Qiao, G. R., Nie, Y. Q., Tang, W., Chu, T., Zhang, J. & Pan, J. W. 18.8 Gbps real-time quantum random number generator with a photonic in- tegrated chip.Appl. Phys. Lett.118, 264001 (2021)

  39. [39]

    Williams, C. R. S., Salevan, J. C., Li, X., Roy, R. & Murphy, T. E. Fast physical random number generator using amplified spontaneous emission.Opt. Express18, 23584–23597 (2010)

  40. [40]

    Xu, F., Qi, B., Ma, X., Xu, H., Zheng, H. & Lo, H. K. Ultrafast quantum random number generation based on quantum phase fluctuations.Opt. Express20, 12366– 12377 (2012)

  41. [41]

    Q., Huang, L., Liu, Y., Payne, F., Zhang, J

    Nie, Y. Q., Huang, L., Liu, Y., Payne, F., Zhang, J. & Pan, J. W. The generation of 68 Gbps quantum random number by measuring laser phase fluctuations.Rev. Sci. Instrum.86, 063105 (2015)

  42. [42]

    E., Mahler, D

    Raffaelli, F., Sibson, P., Kennard, J. E., Mahler, D. H., Thompson, M. G. & Matthews, J. C. F. Generation of random numbers by measuring phase fluctuations from a laser diode with a silicon-on-insulator chip.Opt. Express 26, 19730–19741 (2018)

  43. [43]

    Z.et al.Device-independent randomness expan- sion against quantum side information.Nat

    Liu, W. Z.et al.Device-independent randomness expan- sion against quantum side information.Nat. Phys.17, 448–451 (2021)

  44. [44]

    K.et al.Device-independent randomness ex- pansion with entangled photons.Nat

    Shalm, L. K.et al.Device-independent randomness ex- pansion with entangled photons.Nat. Phys.17, 452–456 (2021)

  45. [45]

    H.et al.Experimental realization of device- independent quantum randomness expansion.Phys

    Li, M. H.et al.Experimental realization of device- independent quantum randomness expansion.Phys. Rev. Lett.126, 050503 (2021)

  46. [46]

    M., Chawla, P., Hegde, A

    Shafi, K. M., Chawla, P., Hegde, A. S., Gayatri, R. S., Padhye, A. & Chandrashekar, C. M. Multi-bit quan- tum random number generator from path-entangled sin- gle photons.EPJ Quantum Technol.10, 43 (2023)

  47. [47]

    A., Su, C

    Aharonovich, I., Castelletto, S., Simpson, D. A., Su, C. H., Greentree, A. D. & Prawer, S. Diamond-based single- photon emitters.Rep. Prog. Phys.74, 076501 (2011)

  48. [48]

    W., Manson, N

    Doherty, M. W., Manson, N. B., Delaney, P., Jelezko, F., Wrachtrup, J. & Hollenberg, L. C. L. The nitrogen- vacancy colour centre in diamond.Phys. Rep.528, 1–45 (2013)

  49. [49]

    & Drezet, A

    Berthel, M., Mollet, O., Dantelle, G., Gacoin, T., Huant, S. & Drezet, A. Photophysics of single nitrogen-vacancy centers in diamond nanocrystals.Phys. Rev. B91, 035308 (2015)

  50. [50]

    Beveratos, A., Brouri, R., Gacoin, T., Villing, A., Poizat, J. P. & Grangier, P. Single photon quantum cryptogra- phy.Phys. Rev. Lett.89, 187901 (2002)

  51. [51]

    F., Beveratos, A., Brouri-Tualle, R., Poizat, J

    Alléaume, R., Treussart, F., Messin, G., Dumeige, Y., Roch, J. F., Beveratos, A., Brouri-Tualle, R., Poizat, J. P. & Grangier, P. Experimental open-air quantum key distribution with a single-photon source.New J. Phys. 6, 92 (2004)

  52. [52]

    J., Nicolet, A

    Kolesov, R., Grotz, B., Balasubramanian, G., Stöhr, R. J., Nicolet, A. A. L., Hemmer, P. R., Jelezko, F. & Wrachtrup, J. Wave-particle duality of single surface plasmon polaritons.Nat. Phys.5, 470–474 (2009)

  53. [53]

    & Andersen, U

    Huck, A., Kumar, S., Shakoor, A. & Andersen, U. L. Controlled coupling of a single nitrogen-vacancy center to a silver nanowire.Phys. Rev. Lett.106, 096801 (2011)

  54. [54]

    I., Steenkamp, C

    Smith, A. I., Steenkamp, C. M. & Tame, M. S. Verifica- tion of single-photon path entanglement using a nitrogen vacancy center.Appl. Opt.64, C41–C52 (2025)

  55. [55]

    D., Burkard, G., Klimov, P

    Fuchs, G. D., Burkard, G., Klimov, P. V. & Awschalom, D. D. A quantum memory intrinsic to single nitro- gen–vacancy centres in diamond.Nat. Phys.7, 789–793 (2011)

  56. [56]

    E.et al.Robust quantum-network memory based on spin qubits in isotopically engineered diamond

    Bradley, C. E.et al.Robust quantum-network memory based on spin qubits in isotopically engineered diamond. npj Quantum Inf.8, 122 (2022)

  57. [57]

    Y., Le, T

    Hui, Y. Y., Le, T. N., Yang, T. I., Chen, J. & Chang, H. C.Emergingtrendsinfluorescentnanodiamondquantum sensing.Nano Futures8, 042001 (2024)

  58. [58]

    P., Hingant, T., Roch, J

    Rondin, L., Tetienne, J. P., Hingant, T., Roch, J. F., Maletinsky, P. & Jacques, V. Magnetometry with nitrogen-vacancy defects in diamond.Rep. Prog. Phys. 77, 056503 (2014)

  59. [59]

    & Yacoby, A

    Casola, F., Van der Sar, T. & Yacoby, A. Probing condensed matter physics with magnetometry based on nitrogen-vacancy centres in diamond.Nat. Rev. Mater. 3, 17088 (2018)

  60. [60]

    Rovny, J., Gopalakrishnan, S., Jayich, A. C. B., Maletinsky, P., Demler, E. & De Leon, N. P. Nanoscale diamond quantum sensors for many-body physics.Nat. Rev. Phys.6, 753–768 (2024)

  61. [61]

    Fujiwara, M.&Shikano, Y.Diamondquantumthermom- etry: from foundations to applications.Nanotechnology 32, 482002 (2021)

  62. [62]

    & Nakayama, K

    Chigusa, S., Hazumi, M., Herbschleb, E.D., Mizuochi, N. & Nakayama, K. Light dark matter search with nitrogen- vacancy centers in diamonds.J. High Energy Phys.2025, 83 (2025)

  63. [63]

    P., Manzin, A

    Vicentini, M., Bernardi, E., Moreva, E., Piacentini, F., Napoli, C., Degiovanni, I. P., Manzin, A. & Genovese, M. Table-top nanodiamond interferometer enabling quan- tum gravity tests. arXiv:2405.21029 (2024)

  64. [64]

    P., Genovese, M., Vedral, V

    Di Pietra, G., Piacentini, F., Bernardi, E., Moreva, E., Napoli, C., Degiovanni, I. P., Genovese, M., Vedral, V. & Marletto, C. The Bose-Marletto-Vedral experiment with nanodiamond interferometers: an insight on entangle- ment detection. arXiv:2410.19601 (2024)

  65. [65]

    N., Wrachtrup, J

    Chen, X., Greiner, J. N., Wrachtrup, J. & Gerhardt, I. Single photon randomness based on a defect center in diamond.Sci. Rep.9, 18474 (2019)

  66. [66]

    G., Desikan, A., Sarbicki, G

    Dastidar, M. G., Desikan, A., Sarbicki, G. & Bhallamudi, V. P. Signatures of superradiance in intensity correla- tion measurements in a two-emitter solid-state system. arXiv:2408.01799 (2024)

  67. [67]

    & Zhou, Q

    Luo, Q., Cheng, Z., Fan, J., Tan, L., Song, H., Deng, G., Wang, Y. & Zhou, Q. Quantum random number gener- ator based on single-photon emitter in gallium nitride. Opt. Lett.45, 4224–4227 (2020)

  68. [68]

    White, S. J. U.et al.Quantum random number genera- tion using a hexagonal boron nitride single photon emit- ter.J. Opt.23, 01LT01 (2021)

  69. [69]

    & Gerhardt, I

    Oberreiter, L. & Gerhardt, I. Light on a beam splitter: more randomness with single photons.Laser Photonics Rev.10, 108–115 (2016)

  70. [70]

    Jerome, W. G. & Price, R. L. Fluorescence microscopy inBasic Confocal Microscopy Second Edition37–71 (Springer, 2018)

  71. [71]

    Francis, J. T. Quantum state preparation in emitter- waveguide systems. (Stellenbosch University, 2021)

  72. [72]

    Alegre, T. P. M., Santori, C., Medeiros-Ribeiro, G. & Beausoleil, R. G. Polarization-selective excitation of ni- trogen vacancy centers in diamond.Phys. Rev. B76, 15 165205 (2007)

  73. [73]

    Ann, B.M., Song, Y., Kim, J., Yang, D.&An, K.Correc- tion for the detector-dead-time effect on the second-order correlation of stationary sub-Poissonian light in a two- detector configuration.Phys. Rev. A92, 023830 (2015)

  74. [74]

    Kimble, H. J. & Mandel, L. Theory of resonance fluores- cence.Phys. Rev. A13, 2123–2144 (1976)

  75. [75]

    & Weinfurter, H

    Kurtsiefer, C., Mayer, S., Zarda, P. & Weinfurter, H. Stable solid-state source of single photons.Phys. Rev. Lett.85, 290–293 (2000)

  76. [76]

    Y., Chang, Y

    Hui, Y. Y., Chang, Y. R., Mohan, N., Lim, T. S., Chen, Y. Y. & Chang, H. C. Polarization modulation spec- troscopy of single fluorescent nanodiamonds with mul- tiple nitrogen vacancy centers.J. Phys. Chem. A115, 1878–1884 (2011)

  77. [77]

    H., Lim, T

    Chen, L. H., Lim, T. S. & Chang, H. C. Measuring the number of (N-V)− centers in single fluorescent nanodia- monds in the presence of quenching effects.J. Opt. Soc. Am. B29, 2309–2313 (2012)

  78. [78]

    & Huant, S

    Drezet, A., Sonnefraud, Y., Cuche, A., Mollet, O., Berthel, M. & Huant, S. Near-field microscopy with a scanning nitrogen-vacancy color center in a diamond nanocrystal: a brief review.Micron70, 55–63 (2015)

  79. [79]

    J., Glancy, S., Nam, S

    Stevens, M. J., Glancy, S., Nam, S. W. & Mirin, R. P. Third-order antibunching from an imperfect single- photon source.Opt. Express22, 3244–3260 (2014)

  80. [80]

    Edwards, A. L. The correlation coefficient inAn Intro- duction to Linear Regression and Correlation33–46 (W. H. Freeman, 1976)

Showing first 80 references.