Integrated Kerr frequency comb-driven silicon photonic transmitter

Rizzo, Anthony; Novick, Asher; Gopal, Vignesh; Kim, Bok Young; Ji, Xingchen; Daudlin, Stuart; Okawachi, Yoshitomo; Cheng, Qixiang; Lipson, Michal; Gaeta, Alexander L.; Bergman, Keren

doi:10.48550/arxiv.2109.10297

Cited by 13 publications

(13 citation statements)

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“…We observe the implementation accuracy for each gate to be 96.8%, 99%, and 98.5%, respectively. Furthermore, the natural wavelength parallelism of the proposed WDIPLN architecture can be exploited using chip-based Kerr frequency comb sources [32] for massive scaling in the frequency domain, similar to recent demonstrations in the silicon photonics platform for high bandwidth data communications [33]. This demonstration opens new opportunities in massively parallel silicon photonic PNNs and paves the way to large-scale systems in the thousand-neuron regime on a single chip with minimal energy consumption.…”

Section: Discussionmentioning

confidence: 63%

Massively scalable wavelength diverse integrated photonic linear neuron

Niekerk

Rizzo

Rubio

et al. 2022

Neuromorph. Comput. Eng.

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As computing resource demands continue to escalate in the face of big data, cloud-connectivity and the internet of things, it has become imperative to develop new low-power, scalable architectures. Neuromorphic photonics, or photonic neural networks, have become a feasible solution for the physical implementation of eﬀicient algorithms directly on-chip. This application is primarily due to the linear nature of light and the scalability of silicon photonics, specifically leveraging the wide-scale complementary metal-oxide-semiconductor (CMOS) manufacturing infrastructure used to fabricate microelectronics chips. Current neuromorphic photonic implementations stem from two paradigms: wavelength coherent and incoherent. Here, we introduce a novel architecture that supports coherent and incoherent operation to increase the capability and capacity of photonic neural networks with a dramatic reduction in footprint compared to previous demonstrations. As a proof-of-principle, we experimentally demonstrate simple addition and subtraction operations on a foundry-fabricated silicon photonic chip. Additionally, we experimentally validate an on-chip network to predict the logical 2-bit gates AND, OR, and XOR to accuracies of 96.8%,99%, and 98.5%, respectively. This architecture is compatible with highly wavelength parallel sources, enabling massively scalable photonic neural networks.

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Section: Discussionmentioning

confidence: 63%

Massively scalable wavelength diverse integrated photonic linear neuron

Niekerk

Rizzo

Rubio

et al. 2022

Neuromorph. Comput. Eng.

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“…Furthermore, each successive stage doubles the channel spacing and halves the number of channels per bus, relaxing constraints on crosstalk and insertion loss. However, since this architecture preserves the total comb bandwidth on each bus, if the comb bandwidth is greater than the resonator FSR then great care must be taken in constructing the channel arrangement such that device 'alias' resonances do not overlap with other 'target' resonances [22], [24].…”

Section: Even-odd Interleavingmentioning

confidence: 99%

“…While any FSR larger than the link bandwidth will work in the single-FSR regime, only particular combinations of FSR and channel aggressor values can result in a valid multi-FSR design [24]. To properly analyze this trade-off between increased channel crosstalk and resonator FSR, we must define the requisite conditions which must be satisfied for a valid arrangement.…”

Section: Even-odd Interleavingmentioning

confidence: 99%

“…We have successfully demonstrated error-free operation with a normal-GVD Kerr comb source and silicon photonic transmitter up to 16 Gb/s/λ for both single bus [23] and evenodd interleaved architectures [22], [24], with channel counts of 20 and 32, respectively. Furthermore, we have recently shown simultaneous modulation of adjacent comb lines at 200 GHz spacing on the same bus, achieving error-free operation for both channels with negligible crosstalk [97].…”

Section: A Integrated Transmittermentioning

confidence: 99%

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Petabit-Scale Silicon Photonic Interconnects With Integrated Kerr Frequency Combs

Rizzo

Daudlin

Novick

et al. 2023

IEEE J. Select. Topics Quantum Electron.

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Silicon photonics holds significant promise in revolutionizing optical interconnects in data centers and high performance computers to enable scaling into the Pb/s package escape bandwidth regime while consuming orders of magnitude less energy per bit than current solutions. In this work, we review recent progress in silicon photonic interconnects leveraging chipscale Kerr frequency comb sources and provide a comprehensive overview of massively scalable silicon photonic systems capable of capitalizing on the large number of wavelengths provided by such combs. We first consider the high-level architectural constraints and then proceed to detail the corresponding fundamental device designs supported by both simulated and experimental results. Furthermore, the majority of experimentally measured devices were fabricated in a commercial 300 mm foundry, showing a clear path to volume manufacturing. Finally, we present various system-level experiments which illustrate successful proof-ofprinciple operation, including flip-chip integration with a codesigned CMOS application-specific integrated circuit (ASIC) to realize a complete Kerr comb-driven electronic-photonic engine. These results provide a viable and appealing path towards future co-packaged silicon photonic interconnects with aggregate perfiber bandwidth above 1 Tb/s, energy consumption below 1 pJ/bit, and areal bandwidth density greater than 5 Tb/s/mm 2 .

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“…The Internet of Things (IoT) is advanced information technology that connects people and physical devices smartly through the Internet. The IoT is underpinned by fast Internet, with optical broadband telecommunications adopting Dense Wavelength-Division Multiplexing (DWDM) to meet fast Internet demands. , DWDM requires an optical fiber amplifier of increasing wavelength bands arranged in a narrow spacing to enable terabit per second data transfer. Given the low optical loss for infrared light in silicon fibers, the use of infrared light with a narrow bandwidth emission is hugely beneficial for optical broadband telecommunications .…”

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confidence: 99%

Pentavalent Manganese Luminescence: Designing Narrow-Band Near-Infrared Light-Emitting Diodes as Next-Generation Compact Light Sources

et al. 2022

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Manganese in the pentavalent state (Mn 5+ ) is both rare and central in materials exhibiting narrow-band nearinfrared (NIR) emission and is highly sought after for phosphorconverted light-emitting diodes as promising candidates for future miniature solid-state NIR light source. We develop the Ca 14 Zn 6 Ga 10−x Mn x O 35 (x = 0.3, 0.5, 1.0, 1.25, 1.5, and 3.0) series that exhibit simultaneous Mn 4+ (650−750 nm) and Mn 5+ (1100−1250 nm) luminescence. We reveal a preferential occupancy of Mn in regular octahedral and tetrahedral environments, with the short bond length between these responsible for luminescence. We present a theoretical spin− orbital interaction model in which breaking the spin selection rule permits the luminescence of Mn 4+ and Mn 5+ . A total photon flux of 87.5 mW under a 7 mA driving current demonstrates its potential for real-time application. This work pushes our understanding of achieving Mn 5+ luminescence and opens the way for the design of Mn 5+ -based narrow-band NIR phosphors.

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Integrated Kerr frequency comb-driven silicon photonic transmitter

Cited by 13 publications

References 0 publications

Massively scalable wavelength diverse integrated photonic linear neuron

Massively scalable wavelength diverse integrated photonic linear neuron

Petabit-Scale Silicon Photonic Interconnects With Integrated Kerr Frequency Combs

Pentavalent Manganese Luminescence: Designing Narrow-Band Near-Infrared Light-Emitting Diodes as Next-Generation Compact Light Sources

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