Zobrazeno 1 - 10
of 22 773
pro vyhledávání: '"TAYLOR, L."'
Autor:
Bowens, Rory, Leisenring, Jarron, Meyer, Michael R., Tobin, Taylor L., Miller, Alyssa L., Monnier, John D., Viges, Eric, Hoffmann, Bill, Montoya, Manny, Durney, Olivier, West, Grant, Morzinski, Katie, Forrest, William, McMurtry, Craig
We present results from commissioning observations of the mid-IR instrument, MIRAC-5, on the 6.5-m MMT telescope. MIRAC-5 is a novel ground-based instrument that utilizes a state-of-the-art GeoSnap (2 - 13 microns) HgCdTe detector with adaptive optic
Externí odkaz:
http://arxiv.org/abs/2412.10189
Autor:
Chakraborty, Abhishek, Patti, Taylor L., Khailany, Brucek, Jordan, Andrew N., Anandkumar, Anima
Effective Hamiltonian calculations for large quantum systems can be both analytically intractable and numerically expensive using standard techniques. In this manuscript, we present numerical techniques inspired by Nonperturbative Analytical Diagonal
Externí odkaz:
http://arxiv.org/abs/2411.09982
Autor:
Alexeev, Yuri, Farag, Marwa H., Patti, Taylor L., Wolf, Mark E., Ares, Natalia, Aspuru-Guzik, Alán, Benjamin, Simon C., Cai, Zhenyu, Chandani, Zohim, Fedele, Federico, Harrigan, Nicholas, Kim, Jin-Sung, Kyoseva, Elica, Lietz, Justin G., Lubowe, Tom, McCaskey, Alexander, Melko, Roger G., Nakaji, Kouhei, Peruzzo, Alberto, Stanwyck, Sam, Tubman, Norm M., Wang, Hanrui, Costa, Timothy
Artificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas. Its significance also extends to technical challenges within science and engineering, including th
Externí odkaz:
http://arxiv.org/abs/2411.09131
Autor:
Agarwal, Ishita, Patti, Taylor L., Bravo, Rodrigo Araiza, Yelin, Susanne F., Anandkumar, Anima
Quantum Neuromorphic Computing (QNC) merges quantum computation with neural computation to create scalable, noise-resilient algorithms for quantum machine learning (QML). At the core of QNC is the quantum perceptron (QP), which leverages the analog d
Externí odkaz:
http://arxiv.org/abs/2411.09093
Autor:
Orsel, Ogulcan E., Noh, Jiho, Zhu, Penghao, Yim, Jieun, Hughes, Taylor L., Thomale, Ronny, Bahl, Gaurav
Asymmetric energy exchange interactions, also known as Hatano-Nelson type couplings, enable the study of non-Hermitian physics and associated phenomena like the non-Hermitian skin effect and exceptional points (EP). Since these interactions are by de
Externí odkaz:
http://arxiv.org/abs/2410.10079
Crystalline symmetry can be used to predict bulk and surface properties of topological phases. For non-interacting cases, symmetry-eigenvalue analysis of Bloch states at high symmetry points in the Brillouin zone simplifies the calculation of topolog
Externí odkaz:
http://arxiv.org/abs/2410.02985
We introduce a compact, two-camera laparoscope that combines active stereo depth estimation and speckle-illumination spatial frequency domain imaging (si-SFDI) to map profile-corrected, pixel-level absorption and reduced scattering optical properties
Externí odkaz:
http://arxiv.org/abs/2409.19153
Design, scientific goals, and performance of the SCExAO survey for planets around accelerating stars
Autor:
Morsy, Mona El, Currie, Thayne, Kuzuhara, Masayuki, Chilcote, Jeffrey, Guyon, Olivier, Tobin, Taylor L., Brandt, Timothy, An, Qier, Anh, Kyohoon, Bovie, Danielle, Deo, Vincent, Groff, Tyler, Gu, Ziying, Janson, Markus, Jovanovic, Nemanja, Li, Yiting, Lawson, Kellen, Lozi, Julien, Lucas, Miles, Marois, Christian, Murakami, Naoshi, Nielsen, Eric, Norris, Barnaby, Skaf, Nour, Tamura, Motohide, Thompson, William, Uyama, Taichi, Vievard, Sebastien
We describe the motivation, design, and early results for our 42-night, 125 star Subaru/SCExAO direct imaging survey for planets around accelerating stars. Unlike prior large surveys, ours focuses only on stars showing evidence for an astrometric acc
Externí odkaz:
http://arxiv.org/abs/2409.06773
Autor:
Shah, Freya, Patti, Taylor L., Berner, Julius, Tolooshams, Bahareh, Kossaifi, Jean, Anandkumar, Anima
Fourier Neural Operators (FNOs) excel on tasks using functional data, such as those originating from partial differential equations. Such characteristics render them an effective approach for simulating the time evolution of quantum wavefunctions, wh
Externí odkaz:
http://arxiv.org/abs/2409.03302
Autor:
Wang, Iria W., Brown, Robin, Patti, Taylor L., Anandkumar, Anima, Pavone, Marco, Yelin, Susanne F.
Quantum computation shows promise for addressing numerous classically intractable problems, such as optimization tasks. Many optimization problems are NP-hard, meaning that they scale exponentially with problem size and thus cannot be addressed at sc
Externí odkaz:
http://arxiv.org/abs/2408.07774