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pro vyhledávání: '"Ashtiani, Farshid"'
Autor:
Ashtiani, Farshid
The significant advancements in integrated photonics have enabled high-speed and energy efficient systems for various applications from data communications and high-performance computing, to medical diagnosis, sensing and ranging. However, data stora
Externí odkaz:
http://arxiv.org/abs/2402.04100
Autor:
Erdil, Mertcan, Izhar, Deng, Yang, Tang, Zichen, Idjadi, Mohamad Hossein, Ashtiani, Farshid, Aflatouni, Firooz, Olsson III, Roy
Acousto-optic integration offers numerous applications including low-loss microwave signal processing, nonreciprocal light propagation, frequency comb generation, and broadband acousto-optic modulation. State-of-the-art acousto-optic systems are main
Externí odkaz:
http://arxiv.org/abs/2402.01127
Autor:
On, Mehmet Berkay, Ashtiani, Farshid, Sanchez-Jacome, David, Perez-Lopez, Daniel, Yoo, S. J. Ben, Blanco-Redondo, Andrea
A variety of topological Hamiltonians have been demonstrated in photonic platforms, leading to fundamental discoveries and enhanced robustness in applications such as lasing, sensing, and quantum technologies. To date, each topological photonic platf
Externí odkaz:
http://arxiv.org/abs/2307.05003
Gradient descent-based backpropagation training is widely used in many neural network systems. However, photonic implementation of such method is not straightforward mainly since having both the nonlinear activation function and its gradient using st
Externí odkaz:
http://arxiv.org/abs/2307.10179
Autor:
Ashtiani, Farshid, Idjadi, Mohamad Hossein, Hu, Ting-Chen, Grillanda, Stefano, Neilson, David, Earnshaw, Mark, Cappuzzo, Mark, Kopf, Rose, Tate, Alaric, Blanco-Redondo, Andrea
Optical neural networks (ONNs) enable high speed parallel and energy efficient processing compared to conventional digital electronic counterparts. However, realizing large scale systems is an open problem. Among various integrated and non-integrated
Externí odkaz:
http://arxiv.org/abs/2305.03627
Autor:
Nikkhah, Vahid, Pirmoradi, Ali, Ashtiani, Farshid, Edwards, Brian, Aflatouni, Firooz, Engheta, Nader
Inverse-designed Silicon photonic metastructures offer an efficient platform to perform analog computations with electromagnetic waves. However, due to computational difficulties, scaling up these metastructures to handle a large number of data chann
Externí odkaz:
http://arxiv.org/abs/2302.00793
Deep neural networks with applications from computer vision and image processing to medical diagnosis are commonly implemented using clock-based processors, where computation speed is limited by the clock frequency and the memory access time. Advance
Externí odkaz:
http://arxiv.org/abs/2106.11747
Autor:
Yang, Ki Youl, White, Alexander D., Ashtiani, Farshid, Shirpurkar, Chinmay, Pericherla, Srinivas V., Chang, Lin, Song, Hao, Zou, Kaiheng, Zhou, Huibin, Pang, Kai, Yang, Joshua, Guidry, Melissa A., Lukin, Daniil M., Hao, Han, Trask, Lawrence, Ahn, Geun Ho, Netherton, Andy, Briles, Travis C., Stone, Jordan R., Rechtman, Lior, Stone, Jeffery S., Van Gasse, Kasper, Skarda, Jinhie L., Su, Logan, Vercruysse, Dries, Maclean, Jean-Philippe W., Aghaeimeibodi, Shahriar, Li, Ming-Jun, Miller, David A. B., Marom, Dan, Papp, Scott B., Willner, Alan E., Bowers, John E., Delfyett, Peter J., Aflatouni, Firooz, Vučković, Jelena
Modern microelectronic processors have migrated towards parallel computing architectures with many-core processors. However, such expansion comes with diminishing returns exacted by the high cost of data movement between individual processors. The us
Externí odkaz:
http://arxiv.org/abs/2103.14139
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