• Photonics Research
  • Vol. 11, Issue 3, 420 (2023)
Gazi Mahamud Hasan1、*, Mehedi Hasan1, Peng Liu1, Mohammad Rad2, Eric Bernier2, and Trevor James Hall1
Author Affiliations
  • 1Photonic Technology Laboratory, Advanced Research Complex, University of Ottawa, Ottawa, K1N 6N5 Ontario, Canada
  • 2Huawei Technologies Canada, Kanata, K2K 3J1 Ontario, Canada
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    DOI: 10.1364/PRJ.473686 Cite this Article Set citation alerts
    Gazi Mahamud Hasan, Mehedi Hasan, Peng Liu, Mohammad Rad, Eric Bernier, Trevor James Hall. Optical wavelength meter with machine learning enhanced precision[J]. Photonics Research, 2023, 11(3): 420 Copy Citation Text show less
    (a) Schematic of a two-stage interferometer architecture consisting of two parallel 2×2 MZI. The two MZIs, including the delay lines represented by the circles, are notionally identical except for the quadrature bias of the lower (blue) MZI provided by the π/2 phase shift. (b) Rearrangement of the architecture of (a). The notionally identical arms of the two MZIs, excluding the phase shift, have been brought forward and are now shared. The dashed subsystem block is recognized as the decomposition of a 4×4 DFT into a network of four 2×2 DFT blocks and a phase-shift element.
    Fig. 1. (a) Schematic of a two-stage interferometer architecture consisting of two parallel 2×2 MZI. The two MZIs, including the delay lines represented by the circles, are notionally identical except for the quadrature bias of the lower (blue) MZI provided by the π/2 phase shift. (b) Rearrangement of the architecture of (a). The notionally identical arms of the two MZIs, excluding the phase shift, have been brought forward and are now shared. The dashed subsystem block is recognized as the decomposition of a 4×4 DFT into a network of four 2×2 DFT blocks and a phase-shift element.
    (a) Schematic of a conventional wavelength meter system. (b) Ideal optical spectra of the egress ports of the output coupler.
    Fig. 2. (a) Schematic of a conventional wavelength meter system. (b) Ideal optical spectra of the egress ports of the output coupler.
    Distribution of calculated condition number of L and A and norm of A+ derived from the calibration simulations of 1000 interferometric instruments using the proposed method. Different impairment and noise settings, as listed in Table 1, correspond to different cases: (a) condition number of L, (b) condition number of A, and (c) norm of A+ belong to Case I; (d) condition number of L, (e) condition number of A, and (f) norm of A+ belong to Case II; (g) condition number of L, (h) condition number of A, and (i) norm of A+ belong to Case III; (j) condition number of L, (k) condition number of A, and (l) norm of A+ belong to Case IV; and (m) condition number of L, (n) condition number of A, and (o) norm of A+ belong to Case V.
    Fig. 3. Distribution of calculated condition number of L and A and norm of A+ derived from the calibration simulations of 1000 interferometric instruments using the proposed method. Different impairment and noise settings, as listed in Table 1, correspond to different cases: (a) condition number of L, (b) condition number of A, and (c) norm of A+ belong to Case I; (d) condition number of L, (e) condition number of A, and (f) norm of A+ belong to Case II; (g) condition number of L, (h) condition number of A, and (i) norm of A+ belong to Case III; (j) condition number of L, (k) condition number of A, and (l) norm of A+ belong to Case IV; and (m) condition number of L, (n) condition number of A, and (o) norm of A+ belong to Case V.
    (a) Correct object samples retrieved by the conventional method and object samples retrieved using the proposed method. (b) Output port fringe pattern samples (marker) accompanied by the fitted fringe pattern (solid) provided by the proposed method. (c) Comparison between the frequency measured using the conventional and proposed methods. (d) Comparison between the residual measured and source frequency using the conventional and proposed methods. The wavelength meter simulated has an MZI architecture based on a 3×3 MMI output coupler with all components impaired. The reference frequency is 193.4 THz (wavelength 1.55 μm).
    Fig. 4. (a) Correct object samples retrieved by the conventional method and object samples retrieved using the proposed method. (b) Output port fringe pattern samples (marker) accompanied by the fitted fringe pattern (solid) provided by the proposed method. (c) Comparison between the frequency measured using the conventional and proposed methods. (d) Comparison between the residual measured and source frequency using the conventional and proposed methods. The wavelength meter simulated has an MZI architecture based on a 3×3 MMI output coupler with all components impaired. The reference frequency is 193.4 THz (wavelength 1.55 μm).
    Mean residual between estimated and original frequency using the (a) proposed and (b) conventional methods; standard deviation of the calculated residual between estimated and original frequency using the (c) proposed and (d) conventional methods. The reference frequency is 193.4 THz (wavelength 1.55 μm).
    Fig. 5. Mean residual between estimated and original frequency using the (a) proposed and (b) conventional methods; standard deviation of the calculated residual between estimated and original frequency using the (c) proposed and (d) conventional methods. The reference frequency is 193.4 THz (wavelength 1.55 μm).
    (a) Correct object samples retrieved by the conventional method and object samples retrieved using the proposed method. (b) Comparison between the residual measured and source frequency using the conventional and proposed methods. The wavelength meter simulated has an MZI architecture based on a 4×4 MMI output coupler with all components impaired. The reference frequency is 193.4 THz (wavelength 1.55 μm).
    Fig. 6. (a) Correct object samples retrieved by the conventional method and object samples retrieved using the proposed method. (b) Comparison between the residual measured and source frequency using the conventional and proposed methods. The wavelength meter simulated has an MZI architecture based on a 4×4 MMI output coupler with all components impaired. The reference frequency is 193.4 THz (wavelength 1.55 μm).
    Micrograph of the fabricated on-chip wavelength meter.
    Fig. 7. Micrograph of the fabricated on-chip wavelength meter.
    (a) Recorded output port intensity (markers) from the three output ports of the 3×3 MMI coupler and the fit provided by the proposed algorithm (solid). (b) Frequency offset retrieved from the power sensor data by the conventional and proposed approaches versus the original frequency. (c) Residual error in calculating the frequency over the desired frequency span. For the following figures, the test data processed are extracted from the adjacent FSR to the data used for training. (d) Recorded output port intensity (markers) from the three output ports of the 3×3 MMI coupler and the fit provided by the proposed algorithm (solid). (e) Frequency offset retrieved from the power sensor data by the conventional and proposed approaches versus the original frequency. (f) Residual error in calculating the frequency over the desired frequency span. The reference frequency is 193.4 THz (wavelength 1.55 μm).
    Fig. 8. (a) Recorded output port intensity (markers) from the three output ports of the 3×3 MMI coupler and the fit provided by the proposed algorithm (solid). (b) Frequency offset retrieved from the power sensor data by the conventional and proposed approaches versus the original frequency. (c) Residual error in calculating the frequency over the desired frequency span. For the following figures, the test data processed are extracted from the adjacent FSR to the data used for training. (d) Recorded output port intensity (markers) from the three output ports of the 3×3 MMI coupler and the fit provided by the proposed algorithm (solid). (e) Frequency offset retrieved from the power sensor data by the conventional and proposed approaches versus the original frequency. (f) Residual error in calculating the frequency over the desired frequency span. The reference frequency is 193.4 THz (wavelength 1.55 μm).
    Residual error in calculating the frequency over the desired frequency span for different reference frequencies.
    Fig. 9. Residual error in calculating the frequency over the desired frequency span for different reference frequencies.
    CaseParameter
    ICouplersSymmetry-preserving perturbation σ=10%; symmetry-breaking perturbation σ=1%
    Noiseσ=4.08×103  mW (source power 1 mW)
    IICouplersSymmetry-preserving perturbation σ=20%; symmetry-breaking perturbation σ=2%
    Noiseσ=4.08×104  mW (source power 1 mW)
    IIICouplersSymmetry-preserving perturbation σ=30%; symmetry-breaking perturbation σ=3%
    Noiseσ=4.08×104  mW (source power 1 mW)
    IVCouplersSymmetry-preserving perturbation σ=40%; symmetry-breaking perturbation σ=4%
    Noiseσ=4.08×103  mW (source power 1 mW)
    VCouplersSymmetry-preserving perturbation σ=50%; symmetry-breaking perturbation σ=5%
    Noiseσ=4.08×104  mW (source power 1 mW)
    Table 1. Simulation Parameter for Impairment and Noise
    CaseImpairment and Calibration Noise SettingCondition Number of Chosen AAdditive Noise in the Operation Stage
    ACase I1.2456Gaussian distribution; noise-equivalent optical power of 30  dBm
    BCase II1.8982Gaussian distribution; noise-equivalent optical power of 20  dBm
    CCase III2.9186Gaussian distribution; noise-equivalent optical power of 30  dBm
    DCase IV4.4648Gaussian distribution; noise equivalent optical power of 30  dBm
    ECase V11.0627Gaussian distribution; noise-equivalent optical power of 20  dBm
    FCase V7.6899Uniform distribution; noise-equivalent optical power of 30  dBm
    GCase V10.6547Uniform distribution; noise-equivalent optical power of 20  dBm
    Table 2. Simulation Parameter Applied for Operation
    Gazi Mahamud Hasan, Mehedi Hasan, Peng Liu, Mohammad Rad, Eric Bernier, Trevor James Hall. Optical wavelength meter with machine learning enhanced precision[J]. Photonics Research, 2023, 11(3): 420
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