Zobrazeno 1 - 10
of 2 204
pro vyhledávání: '"Woods John"'
Autor:
Ali, Raja Farrukh, Milani, Stephanie, Woods, John, Adenij, Emmanuel, Farooq, Ayesha, Mansel, Clayton, Burns, Jeffrey, Hsu, William
Reinforcement learning (RL) has recently shown promise in predicting Alzheimer's disease (AD) progression due to its unique ability to model domain knowledge. However, it is not clear which RL algorithms are well-suited for this task. Furthermore, th
Externí odkaz:
http://arxiv.org/abs/2406.07777
Autor:
Pelliciari, Jonathan, Mejia, Enrique, Woods, John M., Gu, Yanhong, Li, Jiemin, Chand, Saroj B., Fan, Shiyu, Watanabe, Kenji, Taniguchi, Takashi, Bisogni, Valentina, Grosso, Gabriele
Single-photon emitters serve as building blocks for many emerging concepts in quantum photonics. The recent identification of bright, tunable, and stable emitters in hexagonal boron nitride (hBN) has opened the door to quantum platforms operating acr
Externí odkaz:
http://arxiv.org/abs/2402.09678
Autor:
Chand, Saroj B., Woods, John M., Quan, Jiamin, Mejia, Enrique, Taniguchi, Takashi, Watanabe, Kenji, Alù, Andrea, Grosso, Gabriele
The growing field of quantum information technology requires propagation of information over long distances with efficient readout mechanisms. Excitonic quantum fluids have emerged as a powerful platform for this task due to their straightforward ele
Externí odkaz:
http://arxiv.org/abs/2212.00734
Autor:
Woods, John M., Chand, Saroj B., Mejia, Enrique, Taniguchi, Takashi, Watanabe, Kenji, Flick, Johannes, Grosso, Gabriele
Atomic-scale control of light-matter interactions represent the ultimate frontier for many applications in photonics and quantum technology. Two-dimensional semiconductors, including transition metal dichalcogenides, are a promising platform to achie
Externí odkaz:
http://arxiv.org/abs/2209.12873