Impact of Fabrication Non-Uniformity on Chip-Scale Silicon Photonic Integrated Circuits

Chrostowski, Lukas; Wang, X.; Flueckiger, Jonas; Wu, Yichen; Wang, Y.; Fard, Sahba Talebi

doi:10.1364/ofc.2014.th2a.37

Cited by 68 publications

(47 citation statements)

References 6 publications

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Section: Introductionmentioning

confidence: 99%

“…However, this method requires accurate adjustment of the filter FSR for different bit rates and therefore is bit-rate dependent. In addition, fabrication of such high-precision periodic filters is challenging due to practical fabrication errors [4].In this paper, we propose and theoretically analyze the performance of a new, strikingly simple concept to perform RZ-to-NRZ conversion based on spectral phase filtering of the carrier frequency component of the incoming RZ data signals. A key advantage of the proposed format converter is that it removes the bit-rate dependency and realizes high-Q-factor format conversion over a wide bit-rate range, without requiring any additional tuning or adjustments, thus significantly simplifying the filter design and implementation.…”

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confidence: 99%

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Bit-rate-transparent optical RZ-to-NRZ format conversion based on linear spectral phase filtering

Maram

Ros

Guan

et al. 2017

Optical Fiber Communication Conference

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We propose a novel and strikingly simple design for all-optical bit-rate-transparent RZto-NRZ conversion based on optical phase filtering. The proposed concept is experimentally validated through format conversion of a 640 Gbit/s coherent RZ signal to NRZ signal. IntroductionOptical format conversion is an important functionality in nodes interfacing optical communication networks operating with different modulation formats [1,2]. Format conversion between return-to-zero (RZ) and non-returnto-zero (NRZ) on-off keying (OOK) formats is one essential conversion, since both formats are mature and widely used in different parts of the networks, e.g., the RZ format is typically adopted in time division-multiplexing (OTDM) systems to be able to perform pulse multiplexing, while the NRZ format is preferred in wavelength-divisionmultiplexing (WDM) systems due to its higher spectral efficiency [1,2]. Schemes based on linear optical signal processing for RZ-to-NRZ format conversion have attracted great interest due to their intrinsic simplicity, suitability for high speed operation and stable performance. Present linear RZ-to-NRZ format converters rely on the use of a periodic amplitude or phase filter with a free spectral range (FSR) precisely fixed to twice the bit rate of the incoming RZ data signal [1][2][3]. However, this method requires accurate adjustment of the filter FSR for different bit rates and therefore is bit-rate dependent. In addition, fabrication of such high-precision periodic filters is challenging due to practical fabrication errors [4].In this paper, we propose and theoretically analyze the performance of a new, strikingly simple concept to perform RZ-to-NRZ conversion based on spectral phase filtering of the carrier frequency component of the incoming RZ data signals. A key advantage of the proposed format converter is that it removes the bit-rate dependency and realizes high-Q-factor format conversion over a wide bit-rate range, without requiring any additional tuning or adjustments, thus significantly simplifying the filter design and implementation. Further, we experimentally demonstrate the desired format conversion at 640 Gbit/s by manipulating the spectral phase of a coherent RZ signal using a commercial linear optical waveshaper. Operation Principle and Simulation ResultsThe operation principle of the proposed approach is illustrated through the results in Figs. 1(a)-(f), which show numerical simulations of the evolution of the input RZ signal through the conversion system both in the frequency domain (Figs. 1(a)-(c)) and in the time domain (Figs. 1(d)-(f)). Figs 1(a) and (d) show the spectrum and eye diagram of an input RZ data signal with a pseudorandom bit sequence (PRBS) of 2 7 -1, FWHM of 720 fs and bit rate of 640 Gbit∕s. In Fig. 1(d), the red curve shows the spectral phase of the used phase filter with a spectral line-width of Fb = 9 GHz. This phase filter π-phase-shifts the carrier frequency component of the RZ signal with respect to the rest of the signal spectrum. In Fig. ...

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Bit-rate-transparent optical RZ-to-NRZ format conversion based on linear spectral phase filtering

Maram

Ros

Guan

et al. 2017

Optical Fiber Communication Conference

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“…It is well known that such uncertainties can have a dramatic impact on the functionality of fabricated circuits [4,[10][11][12][13][14][15]. To obtain a high-quality design of a photonic circuit (e.g.…”

Section: Introductionmentioning

confidence: 99%

Stochastic simulation and robust design optimization of integrated photonic filters

et al. 2016

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Manufacturing variations are becoming an unavoidable issue in modern fabrication processes; therefore, it is crucial to be able to include stochastic uncertainties in the design phase. In this paper, integrated photonic coupled ring resonator filters are considered as an example of significant interest. The sparsity structure in photonic circuits is exploited to construct a sparse combined generalized polynomial chaos model, which is then used to analyze related statistics and perform robust design optimization. Simulation results show that the optimized circuits are more robust to fabrication process variations and achieve a reduction of 11%-35% in the mean square errors of the 3 dB bandwidth compared to unoptimized nominal designs.

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“…However, variability due to fabrication processes and operational conditions limits the complexity of the circuits that can be implemented [2,3]. A proper analysis of the effects of the variability in geometrical, electrical and optical parameters on the performance of the photonic building blocks and circuits has become crucial.…”

Section: Introductionmentioning

confidence: 99%

Stochastic collocation for device-level variability analysis in integrated photonics

Xing¹,

Spina²,

Li³

et al. 2016

Photon. Res.

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We demonstrate the use of stochastic collocation to assess the performance of photonic devices under the effect of uncertainty. This approach combines high accuracy and efficiency in analyzing device variability with the ease of implementation of sampling-based methods. Its flexibility makes it suitable to be applied to a large range of photonic devices. We compare the stochastic collocation method to a Monte Carlo technique on a numerical analysis of the variability in silicon directional couplers.

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Impact of Fabrication Non-Uniformity on Chip-Scale Silicon Photonic Integrated Circuits

Cited by 68 publications

References 6 publications

Bit-rate-transparent optical RZ-to-NRZ format conversion based on linear spectral phase filtering

Bit-rate-transparent optical RZ-to-NRZ format conversion based on linear spectral phase filtering

Stochastic simulation and robust design optimization of integrated photonic filters

Stochastic collocation for device-level variability analysis in integrated photonics

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