A complete design flow for silicon photonics

Pond, James; Cone, Chris; Chrostowski, Lukas; Klein, Jackson; Flueckiger, Jonas; Liu, Amy; McGuire, Dylan; Wang, Xu

doi:10.1117/12.2052050

Cited by 11 publications

(8 citation statements)

References 18 publications

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“…In addition, the modulator response can be modeled via proprietary software. For example, the ring can be represented by a discrete set of sub-components where the dynamical response is computed through the photon propagation across the resonator for multiple round-trips [6]. By extension of the circuit model in [6], the analytical expressions presented here model the dynamical response of the resonator, i.e.…”

Section: Introductionmentioning

confidence: 99%

Analytical Modeling of Silicon Microring and Microdisk Modulators With Electrical and Optical Dynamics

Dubé-Demers

St-Yves

Bois

et al. 2015

J. Lightwave Technol.

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We propose an analytical, time domain model for microring and microdisk modulators which considers both their electrical and optical properties. Theory of the dynamics of microring/microdisk is discussed, and general solutions to the transfer matrix representation are presented. Both static and dynamic predictions from the model are compared to measurement results to demonstrate the accuracy of our model. Static predictions and measurements are presented for power and phase responses whereas dynamic predictions and measurements are presented for small-signal and large-signal operations. The model verifies that the chirping and modulation bandwidth of the modulators depend on the detuning state. Finally, the accuracy and scalability of several techniques employed in the model are discussed.

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Section: Introductionmentioning

confidence: 99%

Analytical Modeling of Silicon Microring and Microdisk Modulators With Electrical and Optical Dynamics

Dubé-Demers

St-Yves

Bois

et al. 2015

J. Lightwave Technol.

Self Cite

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“…Recently reported in [9], a method for S-parameter based component level simulation of SOI photonic circuit has been demonstrated where S parameters of an optical component (e.g., 1×2 or 2×2 MMI coupler) are first extracted from FDTD simulation. An S-parameter based component model is then generated using Lumerical Interconnect software for circuit level simulation.…”

Section: Performance Impact Analysis Of Coupling Ratio Variationmentioning

confidence: 99%

Monolithic <inline-formula> <tex-math notation="LaTeX">$1\times 2$ </tex-math></inline-formula> MMI-Based 25-Gb/s SOI DPSK Demodulator Integrated With SiGe Photodetector

Hai

Sakib

Liboiron-Ladouceur

2015

IEEE Photon. Technol. Lett.

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In this letter, the performance of a 25-Gb/s 1 × 2 multimode interference (MMI) coupler-based monolithic differential phase shift keying (DPSK) receiver integrated with Germanium (Ge) on silicon-on-insulator (SOI) photodetector (PD) is presented. Theoretical analysis suggests that the device exhibits more uniform extinction ratio over the C-band compared with a DPSK demodulator based on 2×2 MMI coupler. Electrical scattering parameters (S-parameters) investigated through component level simulation comparing the fabrication tolerance shows power penalty of 1.2 and 5 dB for unbalanced and balanced detection DPSK receiver, respectively. The SOI 1×2 MMI coupler-based unbalanced DPSK receiver has a sensitivity of 0.41 dBm at a bit error rate of 1×10 −9 without postelectrical amplification. The PD integrated single-end detectionbased receiver has a total footprint area of 0.39 mm 2 .

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“…The variables in a state-space model can represent actual physical variables (e.g., the temperature of a thermo-optic phase shifter), or they can be fitted to some measured or simulated response curve, resulting in a black-box model that mimics the behavior of the component but where the internal variables have no relation with the actual physics. For instance, time domain models for the passive linear optical components can be fitted from frequency response by deriving a corresponding linear filter model, either with a finite impulse response (FIR) or infinite impulse response (IIR) [64], [65]. Note that time domain models usually work in a limited bandwidth, and model the signal as a modulation on top of a carrier wavelength.…”

Section: B Circuit Design and Simulationsmentioning

confidence: 99%

Photonic Integrated Circuit Design in a Foundry+Fabless Ecosystem

Khan

Xing

et al. 2019

IEEE J. Select. Topics Quantum Electron.

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A foundry-based photonic ecosystem is expected to become necessary with increasing demand and adoption of photonics for commercial products. To make foundry-enabled photonics a real success, the photonic circuit design flow should adopt known concepts from analog and mixed signal electronics. Based on the similarities and differences between the existing photonic and the standardized electronics design flow, we project the needs and evolution of the photonic design flow, such as schematic driven design, accurate behavioral models, and yield prediction in the presence of fabrication variability.

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A complete design flow for silicon photonics

Cited by 11 publications

References 18 publications

Analytical Modeling of Silicon Microring and Microdisk Modulators With Electrical and Optical Dynamics

Analytical Modeling of Silicon Microring and Microdisk Modulators With Electrical and Optical Dynamics

Monolithic <inline-formula> <tex-math notation="LaTeX">$1\times 2$ </tex-math></inline-formula> MMI-Based 25-Gb/s SOI DPSK Demodulator Integrated With SiGe Photodetector

Photonic Integrated Circuit Design in a Foundry+Fabless Ecosystem

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