Zobrazeno 1 - 10
of 1 571
pro vyhledávání: '"Marandi, P"'
Autor:
Li, Anni, Bahri, Mehran, Gray, Robert M., Choi, Seowon, Hoseinkhani, Sajjad, Srivastava, Anchit, Marandi, Alireza, Fattahi, Hanieh
Frequency comb and field-resolved broadband absorption spectroscopy are promising techniques for rapid, precise, and sensitive detection of short-lived atmospheric pollutants on-site. Enhancing detection sensitivity in absorption spectroscopy hinges
Externí odkaz:
http://arxiv.org/abs/2407.13371
Distributed quantum sensing (DQS) leverages quantum resources to estimate an unknown global property of a networked quantum sensor beyond the classical limit. We propose and analyze an all-optical resource-efficient scheme for the next-generation DQS
Externí odkaz:
http://arxiv.org/abs/2407.13654
Autor:
Gray, Robert M., Sekine, Ryoto, Ledezma, Luis, Li, Gordon H. Y., Zhou, Selina, Roy, Arkadev, Parto, Midya, Marandi, Alireza
Arrays of nonlinear resonators offer a fertile ground for a wide range of complex phenomena and opportunities for advanced photonic sensing and computing. Recently, significant attention has focused on studying coupled resonators in special-purpose c
Externí odkaz:
http://arxiv.org/abs/2405.17355
Autor:
Williams, James, Nehra, Rajveer, Sendonaris, Elina, Ledezma, Luis, Gray, Robert M., Sekine, Ryoto, Marandi, Alireza
Photonics offers unique capabilities for quantum information processing (QIP) such as room-temperature operation, the scalability of nanophotonics, and access to ultrabroad bandwidths and consequently ultrafast operation. Ultrashort-pulse sources of
Externí odkaz:
http://arxiv.org/abs/2402.05163
Traditional absorption spectroscopy has fundamental difficulty in resolving small absorbance from strong background due to the instability of laser sources. Existing background-free methods in broadband vibrational spectroscopy help to alleviate this
Externí odkaz:
http://arxiv.org/abs/2401.01016
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
Autor:
Leefmans, Christian R., Englebert, Nicolas, Williams, James, Gray, Robert M., Goldman, Nathan, Gorza, Simon-Pierre, Leo, François, Marandi, Alireza
Over the past decade, cavity solitons have attracted substantial attention for their rich dynamics and their myriad potential applications. Recently, there has been growing interest in understanding cavity solitons in systems of coupled resonators, w
Externí odkaz:
http://arxiv.org/abs/2311.04873
Autor:
Chen, Ivy I., Solgaard, Jennifer, Sekine, Ryoto, Hossain, Azmain A., Ardizzi, Anthony, Catherall, David S., Marandi, Alireza, Renzas, James R., Greer, Frank, Minnich, Austin J.
Lithium niobate (LiNbO$_3$, LN) is a ferroelectric crystal of interest for integrated photonics owing to its large second-order optical nonlinearity and the ability to impart periodic poling via an external electric field. However, on-chip device per
Externí odkaz:
http://arxiv.org/abs/2310.10592
Autor:
Harper, Nathan A., Hwang, Emily Y., Sekine, Ryoto, Ledezma, Luis, Perez, Christian, Marandi, Alireza, Cushing, Scott K.
Efficient on-chip entangled photon pair generation at telecom wavelengths is an integral aspect of emerging quantum optical technologies, particularly for quantum communication and computing. However, moving to shorter wavelengths enables the use of
Externí odkaz:
http://arxiv.org/abs/2310.07046
Autor:
Li, Gordon H. Y., Leefmans, Christian R., Williams, James, Gray, Robert M., Parto, Midya, Marandi, Alireza
Rapid advancements in deep learning over the past decade have fueled an insatiable demand for efficient and scalable hardware. Photonics offers a promising solution by leveraging the unique properties of light. However, conventional neural network ar
Externí odkaz:
http://arxiv.org/abs/2309.13186