Silicon photonics(SiPh)technology has become a key platform for developing photonic integrated circuits due to its CMOS compatibility and scalable manufacturing.However,integrating efficient on-chip optical sources an...Silicon photonics(SiPh)technology has become a key platform for developing photonic integrated circuits due to its CMOS compatibility and scalable manufacturing.However,integrating efficient on-chip optical sources and in-line amplifiers remains challenging due to silicon’s indirect bandgap.In this study,we developed prefabricated standardized InAs/GaAs quantum-dot(QD)active devices optimized for micro-transfer printing and successfully integrated them on SiPh integrated circuits.By transfer-printing standardized QD devices onto specific regions of the SiPh chip,we realized O-band semiconductor optical amplifiers(SOAs),distributed feedback(DFB)lasers,and widely tunable lasers(TLs).The SOAs reached an on-chip gain of 7.5 dB at 1299 nm and maintained stable performance across a wide input power range.The integrated DFB lasers achieved waveguide(WG)-coupled output powers of up to 19.7 mW,with a side-mode suppression ratio(SMSR)of 33.3 dB,and demonstrated notable robustness against optical feedback,supporting error-free data rates of 30 Gbps without additional isolators.Meanwhile,the TLs demonstrated a wavelength tuning range exceeding 35 nm,and a WG-coupled output power greater than 3 m W.The micro-transfer printing approach effectively decouples the fabrication of non-native devices from the SiPh process,allowing back-end integration of the Ⅲ–Ⅴ devices.Our approach offers a viable path toward fully integrated Ⅲ–Ⅴ/ SiPh platforms capable of supporting high-speed,high-capacity communication.展开更多
In this paper, a novel modeling and simulation method for general linear, time-invariant, passive photonic devices and circuits is proposed. This technique, starting from the scattering parameters of the photonic syst...In this paper, a novel modeling and simulation method for general linear, time-invariant, passive photonic devices and circuits is proposed. This technique, starting from the scattering parameters of the photonic system under study, builds a baseband equivalent state-space model that splits the optical carrier frequency and operates at baseband, thereby significantly reducing the modeling and simulation complexity without losing accuracy.Indeed, it is possible to analytically reconstruct the port signals of the photonic system under study starting from the time-domain simulation of the corresponding baseband equivalent model. However, such equivalent models are complex-valued systems and, in this scenario, the conventional passivity constraints are not applicable anymore. Hence, the passivity constraints for scattering parameters and state-space models of baseband equivalent systems are presented, which are essential for time-domain simulations. Three suitable examples demonstrate the feasibility, accuracy, and efficiency of the proposed method.展开更多
In this paper, a novel baseband macromodeling framework for linear passive photonic circuits is proposed, which is able to build accurate and compact models while taking into account the nonidealities,such as higher o...In this paper, a novel baseband macromodeling framework for linear passive photonic circuits is proposed, which is able to build accurate and compact models while taking into account the nonidealities,such as higher order dispersion and wavelength-dependent losses of the circuits. Compared to a previous modeling method based on the vector fitting algorithm, the proposed modeling approach introduces a novel complex vector fitting technique. It can generate a half-size state-space model for the same applications, thereby achieving a major improvement in efficiency of the time-domain simulations. The proposed modeling framework requires only measured or simulated scattering parameters as input,which are widely used to represent linear and passive systems. Three photonic circuits are studied to demonstrate the accuracy and efficiency of the proposed technique.展开更多
Programmable photonic integrated circuits(PPICs)emerge as a novel technology with an enormous potential for ground-breaking innovation.Different architectures are currently being considered that dictate how waveguides...Programmable photonic integrated circuits(PPICs)emerge as a novel technology with an enormous potential for ground-breaking innovation.Different architectures are currently being considered that dictate how waveguides should be connected to realize a broadly usable circuit.We focus on the effect of varying connectivity architectures on the routing of light.Three types of uniform meshes are studied,and we introduce a newly developed mesh that is called ring-connected straight lines.We provide an analytical formula to calculate exact distances in these meshes and introduce several metrics relating to routing to compare these meshes.We show that hexagonal tiles are the most promising,but the ring-connected straight lines architecture has a use case as well.Besides this,the effect of defect couplers is also studied.We find that the effects of these failures vary greatly by type and severity on the routability of the mesh.展开更多
The microstructure of a material,typically characterized through a set of microscopy images of two-dimensional cross-sections,is a valuable source of information about the material and its properties.Every pixel of th...The microstructure of a material,typically characterized through a set of microscopy images of two-dimensional cross-sections,is a valuable source of information about the material and its properties.Every pixel of the image is a degree of freedom causing the dimensionality of the information space to be extremely high.This makes it difficult to recognize and extract all relevant information from the images.Human experts circumvent this by manually creating a lower-dimensional representation of the microstructure.However,the question of how a microstructure image can be best represented remains open.From the field of deep learning,we present triplet networks as a method to build highly compact representations of the microstructure,condensing the relevant information into a much smaller number of dimensions.We demonstrate that these representations can be created even with a limited amount of example images,and that they are able to distinguish between visually very similar microstructures.We discuss the interpretability and generalization of the representations.Having compact microstructure representations,it becomes easier to establish processing–structure–property links that are key to rational materials design.展开更多
基金European Union(CALADAN)(825453)Dutch Growth Fund PhotonDelta project。
文摘Silicon photonics(SiPh)technology has become a key platform for developing photonic integrated circuits due to its CMOS compatibility and scalable manufacturing.However,integrating efficient on-chip optical sources and in-line amplifiers remains challenging due to silicon’s indirect bandgap.In this study,we developed prefabricated standardized InAs/GaAs quantum-dot(QD)active devices optimized for micro-transfer printing and successfully integrated them on SiPh integrated circuits.By transfer-printing standardized QD devices onto specific regions of the SiPh chip,we realized O-band semiconductor optical amplifiers(SOAs),distributed feedback(DFB)lasers,and widely tunable lasers(TLs).The SOAs reached an on-chip gain of 7.5 dB at 1299 nm and maintained stable performance across a wide input power range.The integrated DFB lasers achieved waveguide(WG)-coupled output powers of up to 19.7 mW,with a side-mode suppression ratio(SMSR)of 33.3 dB,and demonstrated notable robustness against optical feedback,supporting error-free data rates of 30 Gbps without additional isolators.Meanwhile,the TLs demonstrated a wavelength tuning range exceeding 35 nm,and a WG-coupled output power greater than 3 m W.The micro-transfer printing approach effectively decouples the fabrication of non-native devices from the SiPh process,allowing back-end integration of the Ⅲ–Ⅴ devices.Our approach offers a viable path toward fully integrated Ⅲ–Ⅴ/ SiPh platforms capable of supporting high-speed,high-capacity communication.
基金Fonds Wetenschappelijk Onderzoek(FWO)(G013815N)Flanders Innovation&Entrepreneurship(VLAIO)Luceda Photonics through the MEPIC project
文摘In this paper, a novel modeling and simulation method for general linear, time-invariant, passive photonic devices and circuits is proposed. This technique, starting from the scattering parameters of the photonic system under study, builds a baseband equivalent state-space model that splits the optical carrier frequency and operates at baseband, thereby significantly reducing the modeling and simulation complexity without losing accuracy.Indeed, it is possible to analytically reconstruct the port signals of the photonic system under study starting from the time-domain simulation of the corresponding baseband equivalent model. However, such equivalent models are complex-valued systems and, in this scenario, the conventional passivity constraints are not applicable anymore. Hence, the passivity constraints for scattering parameters and state-space models of baseband equivalent systems are presented, which are essential for time-domain simulations. Three suitable examples demonstrate the feasibility, accuracy, and efficiency of the proposed method.
文摘In this paper, a novel baseband macromodeling framework for linear passive photonic circuits is proposed, which is able to build accurate and compact models while taking into account the nonidealities,such as higher order dispersion and wavelength-dependent losses of the circuits. Compared to a previous modeling method based on the vector fitting algorithm, the proposed modeling approach introduces a novel complex vector fitting technique. It can generate a half-size state-space model for the same applications, thereby achieving a major improvement in efficiency of the time-domain simulations. The proposed modeling framework requires only measured or simulated scattering parameters as input,which are widely used to represent linear and passive systems. Three photonic circuits are studied to demonstrate the accuracy and efficiency of the proposed technique.
基金European Research Council(725555)Fonds Wetenschappelijk Onderzoek(11O0923N,G020421).
文摘Programmable photonic integrated circuits(PPICs)emerge as a novel technology with an enormous potential for ground-breaking innovation.Different architectures are currently being considered that dictate how waveguides should be connected to realize a broadly usable circuit.We focus on the effect of varying connectivity architectures on the routing of light.Three types of uniform meshes are studied,and we introduce a newly developed mesh that is called ring-connected straight lines.We provide an analytical formula to calculate exact distances in these meshes and introduce several metrics relating to routing to compare these meshes.We show that hexagonal tiles are the most promising,but the ring-connected straight lines architecture has a use case as well.Besides this,the effect of defect couplers is also studied.We find that the effects of these failures vary greatly by type and severity on the routability of the mesh.
基金M.L.and S.C.acknowledge financial support from OCAS NV by an OCAS-sponsored PhD position and by an OCAS-endowed chair at Ghent University,respectivelyThe computational resources and services used in this work were provided by the VSC(Flemish Supercomputer Center),funded by the Research Foundation–Flanders(FWO)and the Flemish Government–department EWI.
文摘The microstructure of a material,typically characterized through a set of microscopy images of two-dimensional cross-sections,is a valuable source of information about the material and its properties.Every pixel of the image is a degree of freedom causing the dimensionality of the information space to be extremely high.This makes it difficult to recognize and extract all relevant information from the images.Human experts circumvent this by manually creating a lower-dimensional representation of the microstructure.However,the question of how a microstructure image can be best represented remains open.From the field of deep learning,we present triplet networks as a method to build highly compact representations of the microstructure,condensing the relevant information into a much smaller number of dimensions.We demonstrate that these representations can be created even with a limited amount of example images,and that they are able to distinguish between visually very similar microstructures.We discuss the interpretability and generalization of the representations.Having compact microstructure representations,it becomes easier to establish processing–structure–property links that are key to rational materials design.
