Search Results - "Abebe, Nathnael"

Experimentally realized in situ backpropagation for deep learning in photonic neural networks by Pai, Sunil, Sun, Zhanghao, Hughes, Tyler W, Park, Taewon, Bartlett, Ben, Williamson, Ian A D, Minkov, Momchil, Milanizadeh, Maziyar, Abebe, Nathnael, Morichetti, Francesco, Melloni, Andrea, Fan, Shanhui, Solgaard, Olav, Miller, David A B

“…Integrated photonic neural networks provide a promising platform for energy-efficient, high-throughput machine learning with extensive scientific and…”
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Using Geometry To Sense Current by McCaughan, Adam N, Abebe, Nathnael S, Zhao, Qing-Yuan, Berggren, Karl K

“…We describe a superconducting three-terminal device that uses a simple geometric effect known as current crowding to sense the flow of current and actuate a…”
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Coupled Mode Design of Low-Loss Electromechanical Phase Shifters by Abebe, Nathnael S., Pai, Sunil, Hwang, Rebecca L., Broaddus, Payton, Miao, Yu, Solgaard, Olav

“…Micro-electromechanical systems (MEMS) have the potential to provide low-power phase shifting in silicon photonics, but techniques for designing low-loss…”
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Experimental evaluation of digitally verifiable photonic computing for blockchain and cryptocurrency by Pai, Sunil, Park, Taewon, Ball, Marshall, Penkovsky, Bogdan, Dubrovsky, Michael, Abebe, Nathnael, Milanizadeh, Maziyar, Morichetti, Francesco, Melloni, Andrea, Fan, Shanhui, Solgaard, Olav, Miller, David A. B.

“…As blockchain technology and cryptocurrency become increasingly mainstream, photonic computing has emerged as an efficient hardware platform that reduces…”
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Tunable Directional Couplers for High Contrast Optical Meshes by Abebe, Nathnael S., Pai, Sunil, Hwang, Rebecca L., Broaddus, Payton, Miao, Yu, Solgaard, Olav

“…We describe the operation, design, and fabrication of MEMS-tunable silicon-photonics directional couplers, with potential for smaller footprint, less…”
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Silicon Nitride Process for Mode-Orthogonal MEMS-Tunable Photonic Devices by Abebe, Nathnael S., Pai, Sunil, Broaddus, Payton, Hwang, Rebecca L., Miao, Yu, Solgaard, Olav

“…We report a silicon-photonics process for MEMS-tunable phase shifters that leverages orthogonal optical modes. A phase shifter with -0.63dB insertion loss and…”
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Experimental evaluation of digitally-verifiable photonic computing for blockchain and cryptocurrency by Pai, Sunil, Park, Taewon, Ball, Marshall, Penkovsky, Bogdan, Milanizadeh, Maziyar, Dubrovsky, Michael, Abebe, Nathnael, Morichetti, Francesco, Melloni, Andrea, Fan, Shanhui, Solgaard, Olav, Miller, David A. B

“…As blockchain technology and cryptocurrency become increasingly mainstream, ever-increasing energy costs required to maintain the computational power running…”
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LightHash: Experimental Evaluation of a Photonic Cryptocurrency by Pai, Sunil, Park, Taewon, Penkovsky, Bogdan, Milanizadeh, Maziyar, Ball, Marshall, Dubrovsky, Michael, Abebe, Nathnael, Morichetti, Francesco, Melloni, Andrea, Solgaard, Olav, Miller, David A.B.

“…We propose LightHash, the first feasible photonic cryptographic hash function for blockchain technology using programmable photonic networks. We experimentally…”
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MEMS Photonic Networks For Parallelized Matrix Multiplication Using Wavelength-Division Multiplexing by Pai, Sunil, Abebe, Nathnael, Hwang, Rebecca L, Miller, David A. B., Solgaard, Olav

“…We study dispersion models and design variations for programmable MEMS photonic networks to analyze scalability of parallel matrix-vector multiplication, which…”
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Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks by Pai, Sunil, Sun, Zhanghao, Hughes, Tyler W, Park, Taewon, Bartlett, Ben, Williamson, Ian A. D, Minkov, Momchil, Milanizadeh, Maziyar, Abebe, Nathnael, Morichetti, Francesco, Melloni, Andrea, Fan, Shanhui, Solgaard, Olav, Miller, David A. B

“…Neural networks are widely deployed models across many scientific disciplines and commercial endeavors ranging from edge computing and sensing to large-scale…”
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Inference and Gradient Measurement for Backpropagation in Photonic Neural Networks by Pai, Sunil, Hughes, Tyler W., Park, Taewon, Bartlett, Ben, Williamson, Ian, Minkov, Momchil, Milanizadeh, Maziyar, Abebe, Nathnael, Morichetti, Francesco, Melloni, Andrea, Solgaard, Olav, Fan, Shanhui, Miller, David A. B.

“…We experimentally demonstrate in situ backpropagation in a programmable nanophotonic interferometer network, achieving inference accuracies matching digital…”
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Wavelength-Division Multiplexed Optical Cryptocurrency by Pai, Sunil, Abebe, Nathnael, Dubrovsky, Michael, Hwang, Rebecca L, Karpov, Maxim, Penkovsky, Bogdan, Miller, David A. B., Solgaard, Olav

“…We propose an optical proof-of-work scheme that feeds data encoded into wavelength-division multiplexed modes through a programmable photonic network. We…”
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Sensing supercurrents using geometric effects by McCaughan, Adam N, Abebe, Nathnael, Zhao, Qing-Yuan, Berggren, Karl K

“…We describe a superconducting three-terminal device that uses a simple geometric effect known as current crowding to sense the flow of current and actuate a…”
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