Advanced Photonics, Volume. 7, Issue 4, 044002(2025)

Thin-film lithium niobate quantum photonics: review and perspectives

Fabien Labbé, Çağın Ekici, Innokentiy Zhdanov, Alif Laila Muthali, Leif Katsuo Oxenløwe, and Yunhong Ding*
Author Affiliations
  • Technical University of Denmark, Department of Electrical and Photonics Engineering, Kongens Lyngby, Denmark
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    Figures & Tables(14)
    Thin-film lithium niobate functionality versus potential quantum photonics applications: TFLN gives a big various functionality based on the fundamental material properties and technological development, i.e., acousto-optic modulators and transducers, electro-optic modulation and switches, second- and third-order nonlinearity (waveguide Figure adapted with permission from Ref. 27 © 2023 Optica Publishing Group), low loss (Figure adapted with permission from Ref. 28 © 2022 The Author(s)), and sources and detectors integration (Figure adapted with permission from Ref. 29 © 2023 The Author(s)). Thanks to these functionalities, TFLN holds significant promise for potential quantum photonics applications, such as enabling next generation quantum networks, advancing precision metrology, enhancing quantum computing architectures, and advancing toward near-deterministic single-photon sources.
    Light modulation based on micro-heaters and the Pockels effect. (a) Microheater-based phase shifter on top of LN. Adapted with permission from Ref. 196 © 2024 The Author(s). (b) Microheater-based phase shifter aside the LN waveguide. Adapted with permission from Ref. 194 © 2022 Optica Publishing Group. (c) Synthesizing the electrical driving signal enables faster thermal tuning. Adapted with permission from Ref. 196 © 2024 The Author(s). (d) Applying an electrical field results in high-speed phase modulation of an LN waveguide. (e) Advanced IQ modulator based on high-speed phase modulation. Adapted with permission from Ref. 205 © 2020 The Author(s).
    Integration of the single-photon emitters. (a) InAs/GaAs. Adapted with permission from Ref. 214 © 2021 The Author(s). (b) InAsP/InP nanowire integration with piezoelectric transducer. Adapted with permission from Ref. 29 © 2023 The Author(s).
    SNSPD integration. (a) NbN nanowire integrated on TFLN. Adapted with permission from Ref. 218 © 2020 AIP Publishing. (b) NbTiN-based SNSPDs on TFLN. Adapted with permission from Ref. 219 © 2021 The Author(s). (c) MoSi nanowire integrated on TFLN. Adapted with permission from Ref. 220 © 2024 American Chemical Society. (d) α-Si detector on TFLN. Adapted with permission from Ref. 221 © 2024 American Chemical Society.
    Quantum memory and storage. (a) TFLN-based single-photon buffer. Adapted with permission from Ref. 223 © 2023 The Author(s). (b) A quantum memory on TFLN doped with thulium rare-earth ions. Adapted with permission from Ref. 224 © 2023 American Chemical Society. (c) Er-doped TFLN ring resonator cavity for telecom-compatible quantum memory. Adapted with permission from Ref. 225 © 2014 SPIE.
    Nonlinear processes of the second and third orders with their potential quantum applications.
    Envisioned hybrid multiplexing scheme on the TFLN chip with a dedicated cryogenics logic.
    TFLN-based quantum node and a quantum sensor: (a) A proposed quantum node including matter-based quantum memory. Figure adapted with permission from Ref. 318 © 2024 The Author(s). (b) Quantum-enhanced phase sensor utilizing squeezed light. Adapted with permission from Ref. 319 © 2023 The Author(s).
    Universal linear optics based on TFLN. (a) Conceptual scheme of a BS: m-mode reconfigurable linear interferometer is fed with n single photons, after a number of trials output statistics are built through the coincidence detection. (b) A four-mode interferometer following Clements decomposition. Adapted with permission from Ref. 198 © 2023 American Association for the Advancement of Science (AAAS). (c) A four-mode interferometer following Reck decomposition. Adapted with permission from Ref. 322 © 2023 The Author(s).
    • Table 1. Comparison of lithium niobate-based platforms.

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      Table 1. Comparison of lithium niobate-based platforms.

      PlatformΔnMode field areaαprop, dB/mBending radius, μm
      Bulk0N/A0.228N/A
      PE (inc. APE, RPE, SPE)0.192>1.4  μm29220>500  μm92
      Ti-diffused<0.0193>5  μm250931  mm94
      TFLN0.71  μm21.395 (etch)<100  μm96
      0.3497 (CMP)
    • Table 2. Summary of quantum frequency conversion experiments and their application.a

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      Table 2. Summary of quantum frequency conversion experiments and their application.a

      Processλin, nmλout, nmMaterialηdeviceApplication (Ref.)
      SFG1548631Bulk PPLN∼90%Upconversion detection244
      SFG1550631Bulk PPLN80% ± 15%Upconversion detection245
      SFG1550713PPLN RPE46%bUpconversion detection246
      SFG1320713PPLN RPE40%bUpconversion detection246
      SFG1312710PPLN WG75% ± 1%Quantum interface247
      SFG1554834PPLN RPE86%Upconversion detection248
      DFG7801522Zn:PPLN WG62%Quantum interface249
      SFG980600MgO:PPLN WG>70%QFC242
      DFG7111313Zn:PPLN WG>64%QFC250
      DFG9101560PPLN RPE80%Quantum interface251
      DFG7801552MgO:PPLN WG32.4%Quantum interface235
      DFG6371587Zn:PPLN WG71%Quantum interface238
      DFG9041557MgO:PPLN WG31.1%bQFC252
      SFG1545550PPLN TD61.5%Quantum interface253
      DFG6061552PPLN WG62%Quantum interface254
      DFG7951342PPLN RPE70%Quantum interface255
      DFG9421550PPLN WG56.7%Quantum interface256
      DFG9431543PPLN WG86%–95%Quantum interface257
      SFG1550863PPTFLN73%Upconversion detection258
      DFG7801541PPLN WG95%QFC259
    • Table 3. Summary of the demonstrated LN photon-pair sources.

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      Table 3. Summary of the demonstrated LN photon-pair sources.

      Platform (Ref.)PGR, GHzmWgh(2)(0)CARVisibility (type)
      SPE PPLN2740.0015N/AN/A97% ± 1.84% (Franson)
      LN WGMR2730.013<0.2N/AN/A
      Zn:PPLN2750.00150.1 ± 0.012260,000 − 7.593% ± 17% (HOM)
      PPTFLN2760.027aN/A6900 ± 200N/A
      PPTFLN2770.008aN/A631 ± 210N/A
      PPTFLN Ring862.6 ± 0.1a0.008 ± 0.000714,682 ± 4427N/A
      PPTFLN278b0.0450.022 ± 0.00467,224 ± 71499.3% ± 1.9% (Franson)
      PPTFLN27913N/A100,00098% (Michelson)
      PPTFLN280279N/A59999.17% (Franson)
      PPTFLN2810.024aN/AN/A96.3% (spectral purity)
      PPLN2820.178N/A>800098.2% ± 0.3% (Franson)
      PPTFLN2431.27aN/A1182N/A
      MPM DLTFLN28341.77<0.258,298 ± 1297N/A
      MPM LPTFLN2840.34a0.008663N/A
      PPTFLN285230 ± 50aN/AN/A100% ± 1% (Michelson)
      PPLN TD2860.125aN/AN/AN/A
      PPLN TD28711.86aN/AN/AN/A
      MPM TFLN2880.672aN/AN/AN/A
      MPM TFLN2891.44×106N/A805 ± 5N/A
    • Table 4. Comparison between SiN and TFLN platforms for large-scale CV MBQC.

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      Table 4. Comparison between SiN and TFLN platforms for large-scale CV MBQC.

      FeatureSiNTFLN
      Cluster encodingFrequency domainWell-suited for the temporal domain
      Pump configurationPolychromaticMonochromatic
      Detection schemePolychromatic homodyneStandard homodyne
      ScalabilityLimited by squeezing level and mode complexityFavorable via temporal multiplexing
    • Table 5. Comparison of different photonic material platforms.a

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      Table 5. Comparison of different photonic material platforms.a

      Materialno (ne)αprop, dB/mSecond-order nonlinear coefficient, pm/Vn2, m2/WEO coefficient, pm/VSourceseDetectorseSqueezing max.f, dB
      LiNbO32.211.395d33: −25.2 (1064 nm)371.8×1019 (1550 nm)206r33: 30.9 (633 nm)229N/AN/A−11304
      (2.14)0.3497
      LiTaO32.1195.6363d33: 13.8 (1064 nm)371.7×1019 (800 nm)e229r33: 30.5 (633 nm)229N/AN/A
      (2.123)
      Si3.486.5364N/A5×1018 (1550 nm)206N/AN/A−4.17g290
      Si3N420.39291N/A2.5×1019 (1550 nm)206N/AN/AN/A−8b354
      4H-SiC2.569365d33: −11.7 (1064 nm)3667×1019 (1550 nm)c367r13: 0.3 to 0.7 (1550 nm)368
      (2.61)
      AlGaAsd3.320369d41: 180 (1550 nm)36926×1019 (1550 nm)370r41: −1.5 (1520 nm)371−21372
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    Fabien Labbé, Çağın Ekici, Innokentiy Zhdanov, Alif Laila Muthali, Leif Katsuo Oxenløwe, Yunhong Ding, "Thin-film lithium niobate quantum photonics: review and perspectives," Adv. Photon. 7, 044002 (2025)

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    Paper Information

    Category: Reviews

    Received: Apr. 2, 2025

    Accepted: Jun. 13, 2025

    Posted: Jun. 16, 2025

    Published Online: Jul. 17, 2025

    The Author Email: Yunhong Ding (yudin@dtu.dk)

    DOI:10.1117/1.AP.7.4.044002

    CSTR:32187.14.1.AP.7.4.044002

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