Large-Scale Inverse Design of a Planar On-Chip Mode Sorter

Domenico, Giuseppe Di; Weisman, Dror; Panichella, Annibale; Roitman, Dolev; Arie, Ady

doi:10.1021/acsphotonics.1c01539

Cited by 15 publications

(9 citation statements)

References 28 publications

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“…In addition, recent years have seen significant advances in guided-mode conversion applications. One direct method is matching the refractive index difference between different modes by the phase gradient induced equivalent wavevector. , Nevertheless, for complex and multifunctional devices, an inverse design strategy is preferred due to the high freedom-of-degree of subwavelength structures. − …”

Section: Chip-integrated Metasurface and Integrated Imagermentioning

confidence: 99%

Multiscale Optical Field Manipulation via Planar Digital Optics

Luo

2023

ACS Photonics

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Replacing curved and bulky optical elements with thin and lightweight counterparts is a persistent pursuit of the optical society. Metasurfaces, as two-dimensional artificial metamaterials, have attracted much attention because of their exceptional ability to manipulate electromagnetic waves such as amplitude, phase, polarization, propagation direction, and so on. With the great advances in planar digital optics and vector optical field manipulation via metasurfaces, planar optics with multiscale optical field manipulation from subwavelength meta-atoms (tens of nanometers) to large-scale planar devices (hundreds of millimeters) is highly desired in practical applications, which may replace conventional optical devices with superior performance and decreased weight or even create completely new functionalities. Here, we give a perspective on the multiscale optical field manipulation based on planar optics. Particular emphasis is given to multifunctional optical field manipulation, intelligent design, and mass fabrication, as well as their potential applications in lightweight laser systems, diffractive sails, integrated optics, etc.

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Section: Chip-integrated Metasurface and Integrated Imagermentioning

confidence: 99%

Multiscale Optical Field Manipulation via Planar Digital Optics

Luo

2023

ACS Photonics

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“…We can identify specific developments that are relevant to the work reported in this paper. These include the computational techniques of inverse design that are assisted by deep neural networks [ 11 ], deep learning [ 12 , 13 ], physics-informed machine learning [ 14 ], black box algorithms [ 15 ], integral equation methods [ 16 ], and linkage tree genetic algorithms [ 17 ]. Additional computational methods include photonic emulation [ 18 ], the deep adjoint approach [ 19 ], phase-injected topology optimization [ 20 ], and boundary integral methods [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

“…Practical implementation of inverse-designed components in commercial silicon photonics foundries has been discussed by authors who examined spatial process variations [ 22 , 23 ], structural integrity [ 24 ], foundry fabrication constraints [ 25 ], and 300 mm multi-project wafer fabrication [ 26 ]. Progress on inverse-design nanophotonic components has been reported in the relevant areas of on-chip microresonators [ 27 ], planar on-chip mode sorters [ 17 ], all-optical logic devices [ 28 ], fiber-to-chip metamaterial edge couplers [ 29 ], optical beam steerers [ 30 ], couplers for on-chip single-photon sources [ 31 ], polarization splitter-rotators [ 32 ], and photonic arbitrary beam splitters [ 33 ]. On the network level, inverse-design developments include neural networks [ 34 ], Stokes receivers [ 35 ], and integrated photonic circuits [ 36 ].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Optical Circuit Architecture for Inverse-Designed Silicon Photonic Components

Gostimirovic

Soref

2023

Sensors

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In this work, we demonstrate a compact toolkit of inverse-designed, topologically optimized silicon photonic devices that are arranged in a “plug-and-play” fashion to realize many different photonic integrated circuits, both passive and active, each with a small footprint. The silicon-on-insulator 1550-nm toolkit contains a 2 × 2 3-dB splitter/combiner, a 2 × 2 waveguide crossover, and a 2 × 2 all-forward add–drop resonator. The resonator can become a 2 × 2 electro-optical crossbar switch by means of the thermo-optical effect, phase-change cladding, or free-carrier injection. For each of the ten circuits demonstrated in this work, the toolkit of photonic devices enables the compact circuit to achieve low insertion loss and low crosstalk. By adopting the sophisticated inverse-design approach, the design structure, shape, and sizing of each individual device can be made more flexible to better suit the architecture of the greater circuit. For a compact architecture, we present a unified, parallel waveguide circuit framework into which the devices are designed to fit seamlessly, thus enabling low-complexity circuit design.

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“…There is, however, an interesting challenge in applying gradient-based algorithms to design optical switches. ,,, An optical switch consists of tunable elements where certain physical properties such as indices can be varied, as well as nontunable elements where the physical properties are fixed. During the operation of the switch, the physical properties of the tunable elements are varied such that the device can switch between performing different functionalities, while the physical properties of the nontunable elements are kept constant.…”

Section: Introductionmentioning

confidence: 99%

Inverse Design of Optical Switch Based on Bilevel Optimization Inspired by Meta-Learning

et al. 2023

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We introduce the concept of meta-learning into the design of active optical switches. An optical switch consists of both tunable and nontunable elements. It has been difficult to apply conventional inverse design methods to optical switches, since the optimal choice of the tunable elements depends on the design of the nontunable elements. Here we show that a bilevel optimization scheme, closely related to the concept of meta-learning, can be used for the design of active optical switches. In this scheme, the inner and outer loops correspond to the optimization of the tunable and nontunable elements, respectively. We illustrate this scheme with two designs of optical switches based on different tuning mechanisms. This approach is generally applicable for the design of optical switches as well as other active and tunable optical devices.

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Large-Scale Inverse Design of a Planar On-Chip Mode Sorter

Cited by 15 publications

References 28 publications

Multiscale Optical Field Manipulation via Planar Digital Optics

Multiscale Optical Field Manipulation via Planar Digital Optics

An Integrated Optical Circuit Architecture for Inverse-Designed Silicon Photonic Components

Inverse Design of Optical Switch Based on Bilevel Optimization Inspired by Meta-Learning

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