Zobrazeno 1 - 10
of 241
pro vyhledávání: '"Wright, Logan A."'
Autor:
Momeni, Ali, Rahmani, Babak, Scellier, Benjamin, Wright, Logan G., McMahon, Peter L., Wanjura, Clara C., Li, Yuhang, Skalli, Anas, Berloff, Natalia G., Onodera, Tatsuhiro, Oguz, Ilker, Morichetti, Francesco, del Hougne, Philipp, Gallo, Manuel Le, Sebastian, Abu, Mirhoseini, Azalia, Zhang, Cheng, Marković, Danijela, Brunner, Daniel, Moser, Christophe, Gigan, Sylvain, Marquardt, Florian, Ozcan, Aydogan, Grollier, Julie, Liu, Andrea J., Psaltis, Demetri, Alù, Andrea, Fleury, Romain
Physical neural networks (PNNs) are a class of neural-like networks that leverage the properties of physical systems to perform computation. While PNNs are so far a niche research area with small-scale laboratory demonstrations, they are arguably one
Externí odkaz:
http://arxiv.org/abs/2406.03372
Autor:
Onodera, Tatsuhiro, Stein, Martin M., Ash, Benjamin A., Sohoni, Mandar M., Bosch, Melissa, Yanagimoto, Ryotatsu, Jankowski, Marc, McKenna, Timothy P., Wang, Tianyu, Shvets, Gennady, Shcherbakov, Maxim R., Wright, Logan G., McMahon, Peter L.
On-chip photonic processors for neural networks have potential benefits in both speed and energy efficiency but have not yet reached the scale at which they can outperform electronic processors. The dominant paradigm for designing on-chip photonics i
Externí odkaz:
http://arxiv.org/abs/2402.17750
Autor:
Presutti, Federico, Wright, Logan G., Ma, Shi-Yuan, Wang, Tianyu, Malia, Benjamin K., Onodera, Tatsuhiro, McMahon, Peter L.
Multimode squeezed states of light have been proposed as a resource for achieving quantum advantage in computing and sensing. Recent experiments that demonstrate multimode Gaussian states to this end have most commonly opted for spatial or temporal m
Externí odkaz:
http://arxiv.org/abs/2401.06119
Autor:
Senanian, Alen, Prabhu, Sridhar, Kremenetski, Vladimir, Roy, Saswata, Cao, Yingkang, Kline, Jeremy, Onodera, Tatsuhiro, Wright, Logan G., Wu, Xiaodi, Fatemi, Valla, McMahon, Peter L.
Publikováno v:
Nature Communications 15, 7490 (2024)
Quantum reservoir computing (QRC) has been proposed as a paradigm for performing machine learning with quantum processors where the training is efficient in the number of required runs of the quantum processor and takes place in the classical domain,
Externí odkaz:
http://arxiv.org/abs/2312.16166
Autor:
Yanagimoto, Ryotatsu, Ng, Edwin, Jankowski, Marc, Nehra, Rajveer, McKenna, Timothy P., Onodera, Tatsuhiro, Wright, Logan G., Hamerly, Ryan, Marandi, Alireza, Fejer, M. M., Mabuchi, Hideo
Publikováno v:
Optica 11, 896(2024)
Over the last few decades, nonlinear optics has become significantly more nonlinear, traversing nearly a billionfold improvement in energy efficiency, with ultrafast nonlinear nanophotonics in particular emerging as a frontier for combining both spat
Externí odkaz:
http://arxiv.org/abs/2311.13775
Human brains and bodies are not hardware running software: the hardware is the software. We reason that because the microscopic physics of artificial-intelligence hardware and of human biological "hardware" is distinct, neuromorphic engineers need to
Externí odkaz:
http://arxiv.org/abs/2310.18335
Analog physical neural networks, which hold promise for improved energy efficiency and speed compared to digital electronic neural networks, are nevertheless typically operated in a relatively high-power regime so that the signal-to-noise ratio (SNR)
Externí odkaz:
http://arxiv.org/abs/2307.15712
Publikováno v:
Transactions on Machine Learning Research, 03/2024, https://openreview.net/forum?id=Xxw0edFFQC
The rapidly increasing size of deep-learning models has caused renewed and growing interest in alternatives to digital computers to dramatically reduce the energy cost of running state-of-the-art neural networks. Optical matrix-vector multipliers are
Externí odkaz:
http://arxiv.org/abs/2302.10360
Autor:
Shen, Yijie, Zhan, Qiwen, Wright, Logan G., Christodoulides, Demetrios N., Wise, Frank W., Willner, Alan E., Zhao, Zhe, Zou, Kai-heng, Liao, Chen-Ting, Hernández-García, Carlos, Murnane, Margaret, Porras, Miguel A., Chong, Andy, Wan, Chenhao, Bliokh, Konstantin Y., Yessenov, Murat, Abouraddy, Ayman F., Wong, Liang Jie, Go, Michael, Kumar, Suraj, Guo, Cheng, Fan, Shanhui, Papasimakis, Nikitas, Zheludev, Nikolay I., Chen, Lu, Zhu, Wenqi, Agrawal, Amit, Jolly, Spencer W., Dorrer, Christophe, Alonso, Benjamín, Lopez-Quintas, Ignacio, López-Ripa, Miguel, Sola, Íñigo J., Fang, Yiqi, Gong, Qihuang, Liu, Yunquan, Huang, Junyi, Zhang, Hongliang, Ruan, Zhichao, Mounaix, Mickael, Fontaine, Nicolas K., Carpenter, Joel, Dorrah, Ahmed H., Capasso, Federico, Forbes, Andrew
Spatiotemporal sculpturing of light pulse with ultimately sophisticated structures represents the holy grail of the human everlasting pursue of ultrafast information transmission and processing as well as ultra-intense energy concentration and extrac
Externí odkaz:
http://arxiv.org/abs/2210.11273
Photonic simulators using synthetic frequency dimensions have enabled flexible experimental analogues of condensed-matter systems, realizing phenomena that are impractical to observe in real-space systems. However, to date such photonic simulators ha
Externí odkaz:
http://arxiv.org/abs/2208.05088