Ultra-wide-band structural slow light

Lai, Yi‐Chyi; Mohamed, Mohamed Sabry; Gao, Boshen; Minkov, Momchil; Boyd, Robert W.; Savona, Vincenzo; Houdré, R.; Badolato, Antonio

doi:10.1038/s41598-018-33090-x

Cited by 13 publications

(12 citation statements)

References 26 publications

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“…There are a variety of device modifications that promise to alleviate these problems that could see integration into foundries very soon. For example, phase shifters can be greatly enhanced with slow light cavities [92], and microresonators can be trimmed to the desired value using foundry-compatible techniques, negating the need for a heater [93]- [95].…”

Section: A Energymentioning

confidence: 99%

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Photonic Multiply-Accumulate Operations for Neural Networks

Nahmias

Lima

Tait

et al. 2020

IEEE J. Select. Topics Quantum Electron.

225

133

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It has long been known that photonic communication can alleviate the data movement bottlenecks that plague conventional microelectronic processors. More recently, there has also been interest in its capabilities to implement low precision linear operations, such as matrix multiplications, fast and efficiently. We characterize the performance of photonic and electronic hardware underlying neural network models using multiply-accumulate operations. First, we investigate the limits of analog electronic crossbar arrays and on-chip photonic linear computing systems. Photonic processors are shown to have advantages in the limit of large processor sizes (>100 µm), large vector sizes (N > 500), and low noise precision (≤4 bits). We discuss several proposed tunable photonic MAC systems, and provide a concrete comparison between deep learning and photonic hardware using several empiricallyvalidated device and system models. We show significant potential improvements over digital electronics in energy (>10 2), speed (>10 3), and compute density (>10 2). Index Terms-Artificial intelligence, neural networks, analog computers, analog processing circuits, optical computing. I. INTRODUCTION P HOTONICS has been well studied for its role in communication systems. Fiber optic links currently form the backbone of the world's telecommunications infrastructure, vastly overshadowing the best electronic communication standards in information capacity. Light signals have many advantageous properties for the transfer of information. For one, a photonic waveguide, with diameters ranging from those in fiber (∼80 μm) to those fabricated on-chip (∼500 nm), can carry information at enormous bandwidth densities-i.e., terabits per secondwith an energy efficiency that scales nearly independent of distance. This density is possible thanks to signal parallelization in photonic waveguides, in which hundreds of high speed, multiplexed channels can be independently modulated and detected. Photonic channels also experience less distortion, jitter,

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Section: A Energymentioning

confidence: 99%

“…[8]) compared to microresonators (∼250 μm 2 or much smaller). Miniaturizing each MZI relies on some complex modifications, such slow-light enhanced structures [92] or perhaps inverse design [98], [99]. whereas resonators can increase in performance as they are shrunken in size [100].…”

Section: Compute Densitymentioning

confidence: 99%

Photonic Multiply-Accumulate Operations for Neural Networks

Nahmias

Lima

Tait

et al. 2020

IEEE J. Select. Topics Quantum Electron.

225

133

View full text Add to dashboard Cite

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“…This indicates that the higher index contrast provided by the larger silicon block (1000 nm vs 800 nm) results in increased bandwidth even with the reduction effect due to lower duty-cycle (40% vs 50%). Nevertheless, the achievable slow light bandwidth of SWG is limited in contrast with PhCW which profit from more degrees of freedom to control the band curvature and produce larger bandwidth slow light [7], [24].…”

Section: B Bandwidth and Band-edgementioning

confidence: 99%

Slow Light in Subwavelength Grating Waveguides

Jean

Gervais

LaRochelle

et al. 2020

IEEE J. Select. Topics Quantum Electron.

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Structural slow light is the dispersion engineering process by which the group velocity of light can be drastically reduced in a periodic waveguide structure. Enabling large group delay and enhancing the light-matter interaction on a subwavelength scale, on-chip slow light is of great interest in a vast array of fields such as non-linear optic, sensing, laser physics, telecommunication and computing. In this work, we experimentally demonstrate, for the first time, slow light in subwavelength grating waveguides on the silicon-on-insulator platform. We present a comprehensive numerical study in analytical modelling and 3D FDTD. Multiple waveguides variations were fabricated using an electron-beam lithography process. Figures of merit such as group index, bandwidth and loss-per-delay are examined in both theory and experiment. A maximum measured group index of 47.74 with a loss-per-delay of 103.37 dB/ns has been achieved near the wavelength of 1550 nm. A broad bandwidth of 8.82 nm was measured, in which the group index remains larger than 10. We also show that the region of slow light operation can be shifted over a large wavelength span by controlling a single design parameter.

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“…In all-optical systems, buffers were realized with fibers and waveguides. [9][10][11][12] Another proposed realization of an optical memory cell is a three-level Λ system, which gives the possibility to store information in a dark state. 13 Extremely long light storage was achieved in atomic systems, where the slow light effect is commonly based on electromagnetically induced transparency (EIT).…”

Section: Introductionmentioning

confidence: 99%

Deterministic photon storage and readout in a semimagnetic quantum-dot--cavity system doped with a single Mn ion

Cosacchi,

Seidelmann,

Mielnik-Pyszczorski

et al. 2021

Preprint

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Electron-Mn coupling Je [meV nm 3 ] −15 60 Hole-Mn coupling J h [meV nm 3 ] 60 60 Intrinsic dark-bright splitting δXD [meV] 0.95 61 Mn g-factor gMn 2.0075 62 Electron g-factor ge −1.5 43 QD-cavity coupling g [meV] 0.1 63 Cavity loss rate κ [ns −1 ] 8.5 64 Radiative decay rate of |X γX [ns −1 ] 2.4 63 Residual decay rate of |D γD [ns −1 ] 0.01 65 Electron deformation potential De [eV] −5 66 Hole deformation potential D h [eV] 1 66 Density ρD [kg m −3 ] 5510 66 Sound velocity cs [m s −1 ] 4000

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Ultra-wide-band structural slow light

Cited by 13 publications

References 26 publications

Photonic Multiply-Accumulate Operations for Neural Networks

Photonic Multiply-Accumulate Operations for Neural Networks

Slow Light in Subwavelength Grating Waveguides

Deterministic photon storage and readout in a semimagnetic quantum-dot--cavity system doped with a single Mn ion

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