Zobrazeno 1 - 10
of 331
pro vyhledávání: '"Peng, Hsuan"'
Autor:
Alexander, Koen, Bahgat, Andrea, Benyamini, Avishai, Black, Dylan, Bonneau, Damien, Burgos, Stanley, Burridge, Ben, Campbell, Geoff, Catalano, Gabriel, Ceballos, Alex, Chang, Chia-Ming, Chung, CJ, Danesh, Fariba, Dauer, Tom, Davis, Michael, Dudley, Eric, Er-Xuan, Ping, Fargas, Josep, Farsi, Alessandro, Fenrich, Colleen, Frazer, Jonathan, Fukami, Masaya, Ganesan, Yogeeswaran, Gibson, Gary, Gimeno-Segovia, Mercedes, Goeldi, Sebastian, Goley, Patrick, Haislmaier, Ryan, Halimi, Sami, Hansen, Paul, Hardy, Sam, Horng, Jason, House, Matthew, Hu, Hong, Jadidi, Mehdi, Johansson, Henrik, Jones, Thomas, Kamineni, Vimal, Kelez, Nicholas, Koustuban, Ravi, Kovall, George, Krogen, Peter, Kumar, Nikhil, Liang, Yong, LiCausi, Nicholas, Llewellyn, Dan, Lokovic, Kimberly, Lovelady, Michael, Manfrinato, Vitor, Melnichuk, Ann, Souza, Mario, Mendoza, Gabriel, Moores, Brad, Mukherjee, Shaunak, Munns, Joseph, Musalem, Francois-Xavier, Najafi, Faraz, O'Brien, Jeremy L., Ortmann, J. Elliott, Pai, Sunil, Park, Bryan, Peng, Hsuan-Tung, Penthorn, Nicholas, Peterson, Brennan, Poush, Matt, Pryde, Geoff J., Ramprasad, Tarun, Ray, Gareth, Rodriguez, Angelita, Roxworthy, Brian, Rudolph, Terry, Saunders, Dylan J., Shadbolt, Pete, Shah, Deesha, Shin, Hyungki, Smith, Jake, Sohn, Ben, Sohn, Young-Ik, Son, Gyeongho, Sparrow, Chris, Staffaroni, Matteo, Stavrakas, Camille, Sukumaran, Vijay, Tamborini, Davide, Thompson, Mark G., Tran, Khanh, Triplet, Mark, Tung, Maryann, Vert, Alexey, Vidrighin, Mihai D., Vorobeichik, Ilya, Weigel, Peter, Wingert, Mathhew, Wooding, Jamie, Zhou, Xinran
Whilst holding great promise for low noise, ease of operation and networking, useful photonic quantum computing has been precluded by the need for beyond-state-of-the-art components, manufactured by the millions. Here we introduce a manufacturable pl
Externí odkaz:
http://arxiv.org/abs/2404.17570
Autor:
de Lima, Thomas Ferreira, Doris, Eli A., Bilodeau, Simon, Zhang, Weipeng, Jha, Aashu, Peng, Hsuan-Tung, Blow, Eric C., Huang, Chaoran, Tait, Alexander N., Shastri, Bhavin J., Prucnal, Paul R.
Neuromorphic photonic processors based on resonator weight banks are an emerging candidate technology for enabling modern artificial intelligence (AI) in high speed, analog systems. These purpose-built analog devices implement vector multiplications
Externí odkaz:
http://arxiv.org/abs/2203.01792
Autor:
Jha, Aashu, Huang, Chaoran, deLima, Thomas Ferriera, Peng, Hsuan-Tung, Shastri, Bhavin, Prucnal, Paul R.
The bandwidth and energy demands of neural networks has spurred tremendous interest in developing novel neuromorphic hardware, including photonic integrated circuits. Although an optical waveguide can accommodate hundreds of channels with THz bandwid
Externí odkaz:
http://arxiv.org/abs/2203.01128
Autor:
Huang, Chaoran, Fujisawa, Shinsuke, de Lima, Thomas Ferreira, Tait, Alexander N., Blow, Eric C., Tian, Yue, Bilodeau, Simon, Jha, Aashu, Yaman, F atih, Peng, Hsuan-Tung, Batshon, Hussam G., Shastri, Bhavin J., Inada, Yoshihisa, Wang, Ting, Prucnal, Paul R.
In optical communication systems, fibre nonlinearity is the major obstacle in increasing the transmission capacity. Typically, digital signal processing techniques and hardware are used to deal with optical communication signals, but increasing speed
Externí odkaz:
http://arxiv.org/abs/2110.12833
Spiking neural networks are known to be superior over artificial neural networks for their computational power efficiency and noise robustness. The benefits of spiking coupled with the high-bandwidth and low-latency of photonics can enable highly-eff
Externí odkaz:
http://arxiv.org/abs/2109.13797
Autor:
Tien, Sui-Chih, Chang, Chin-Chun, Huang, Ching-Hsuan, Peng, Hsuan-Yu, Chang, Yu-Ting, Chang, Ming-Chu, Lee, Wen-Hwa, Hu, Chun-Mei
Publikováno v:
In iScience 19 July 2024 27(7)
Autor:
Peng, Hsuan-Tung, Lederman, Joshua, Xu, Lei, de Lima, Thomas Ferreira, Huang, Chaoran, Shastri, Bhavin, Rosenbluth, David, Prucnal, Paul
Machine learning (ML) methods are ubiquitous in wireless communication systems and have proven powerful for applications including radio-frequency (RF) fingerprinting, automatic modulation classification, and cognitive radio. However, the large size
Externí odkaz:
http://arxiv.org/abs/2106.13865
Autor:
Zhang, Weipeng, Huang, Chaoran, Peng, Hsuan-Tung, Bilodeau, Simon, Jha, Aashu, Blow, Eric, De Lima, Thomas Ferreira, Shastri, Bhavin J., Prucnal, Paul
Deep neural networks (DNN) consist of layers of neurons interconnected by synaptic weights. A high bit-precision in weights is generally required to guarantee high accuracy in many applications. Minimizing error accumulation between layers is also es
Externí odkaz:
http://arxiv.org/abs/2104.01164
Autor:
Peng, Hsuan-Hao, 彭宣澔
107
Recently, convolution neural networks (CNN) has been widely applied on image classification and object detection. Generally, the convolution layer requires lots of arithmetic operations in whole CNN model. Thus, the convolution layer plays a
Recently, convolution neural networks (CNN) has been widely applied on image classification and object detection. Generally, the convolution layer requires lots of arithmetic operations in whole CNN model. Thus, the convolution layer plays a
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/5szwn6
Autor:
Nahmias, Mitchell A., Peng, Hsuan-Tung, de Lima, Thomas Ferreira, Huang, Chaoran, Tait, Alexander N., Shastri, Bhavin J., Prucnal, Paul R.
There has been a recent surge of interest in the implementation of linear operations such as matrix multipications using photonic integrated circuit technology. However, these approaches require an efficient and flexible way to perform nonlinear oper
Externí odkaz:
http://arxiv.org/abs/2012.08516