Zobrazeno 1 - 10
of 263 080
pro vyhledávání: '"Chapman A"'
Quantum networking continues to encode information in polarization states due to ease and precision. The variable environmental polarization transformations induced by deployed fiber need correction for deployed quantum networking. Here we present a
Externí odkaz:
http://arxiv.org/abs/2411.15135
Autor:
Taylor, Dominic J., Swinbank, A. M., Smail, Ian, Puglisi, Annagrazia, Birkin, Jack E., Dudzeviciute, Ugne, Chen, Chian-Chou, Ikarashi, S., Castillo, Marta Frias, Weiss, Axel, Li, Zefeng, Chapman, Scott C., Jansen, Jasper, Jimenez-Andrade, E. F., Morabito, Leah K., Murphy, Eric J., Rybak, Matus, van der Werf, P. P.
The molecular gas in the interstellar medium (ISM) of star-forming galaxy populations exhibits diverse physical properties. We investigate the $^{12}$CO excitation of twelve dusty, luminous star-forming galaxies at $z \sim 2-4$ by combining observati
Externí odkaz:
http://arxiv.org/abs/2411.14271
Over the long timescale of many charge/discharge cycles, gas formation can result in large bulging deformations of a Lithium-ion pouch cell, which is a key failure mechanism in batteries. Guided by recent experimental X-ray tomography data of a bulgi
Externí odkaz:
http://arxiv.org/abs/2411.13197
Autor:
Mohseni, Masoud, Scherer, Artur, Johnson, K. Grace, Wertheim, Oded, Otten, Matthew, Aadit, Navid Anjum, Bresniker, Kirk M., Camsari, Kerem Y., Chapman, Barbara, Chatterjee, Soumitra, Dagnew, Gebremedhin A., Esposito, Aniello, Fahim, Farah, Fiorentino, Marco, Khalid, Abdullah, Kong, Xiangzhou, Kulchytskyy, Bohdan, Li, Ruoyu, Lott, P. Aaron, Markov, Igor L., McDermott, Robert F., Pedretti, Giacomo, Gajjar, Archit, Silva, Allyson, Sorebo, John, Spentzouris, Panagiotis, Steiner, Ziv, Torosov, Boyan, Venturelli, Davide, Visser, Robert J., Webb, Zak, Zhan, Xin, Cohen, Yonatan, Ronagh, Pooya, Ho, Alan, Beausoleil, Raymond G., Martinis, John M.
In the span of four decades, quantum computation has evolved from an intellectual curiosity to a potentially realizable technology. Today, small-scale demonstrations have become possible for quantum algorithmic primitives on hundreds of physical qubi
Externí odkaz:
http://arxiv.org/abs/2411.10406
Autor:
Sungkeetanon, Sutthikiat, Gaglione, Joseph S., Chapman, Robert L., Kelly, Tyler M., Cushman, Howard A., Odom, Blakeley H., MacGavin, Bryan, Elamin, Gafar A., Washuta, Nathan J., Crosmer, Jonathan E., DeVoria, Adam C., Sanders, John W.
Symplectic integrators offer vastly superior performance over traditional numerical techniques for conservative dynamical systems, but their application to \emph{dissipative} systems is inherently difficult due to dissipative systems' lack of symplec
Externí odkaz:
http://arxiv.org/abs/2411.13569
In the Detection and Multi-Object Tracking of Sweet Peppers Challenge, we present Track Any Peppers (TAP) - a weakly supervised ensemble technique for sweet peppers tracking. TAP leverages the zero-shot detection capabilities of vision-language found
Externí odkaz:
http://arxiv.org/abs/2411.06702
Autor:
Rybak, Matus, Jansen, J. T., Castillo, M. Frias, Hodge, J. A., van der Werf, P. P., Smail, I., Rivera, G. Calistro, Chapman, S., Chen, C. -C., da Cunha, E., Dannerbauer, H., Jiménez-Andrade, E. F., Lagos, C., Liao, C. -L., Murphy, E. J., Scott, D., Swinbank, A. M., Walter, F.
Massive, intensely star-forming galaxies at high redshift require a supply of molecular gas from their gas reservoirs, replenished by infall from the surrounding circumgalactic medium, to sustain their immense star-formation rates. However, our knowl
Externí odkaz:
http://arxiv.org/abs/2411.06474
Autor:
Schreck, John, Sha, Yingkai, Chapman, William, Kimpara, Dhamma, Berner, Judith, McGinnis, Seth, Kazadi, Arnold, Sobhani, Negin, Kirk, Ben, Gagne II, David John
Recent advancements in artificial intelligence (AI) for numerical weather prediction (NWP) have significantly transformed atmospheric modeling. AI NWP models outperform traditional physics-based systems, such as the Integrated Forecast System (IFS),
Externí odkaz:
http://arxiv.org/abs/2411.07814
Autor:
Chapman, David, Farvardin, Parniyan
We present a novel empirical approach toward measuring the Probability Density Function (PDF) of the deep features of Convolutional Neural Networks (CNNs). Measurement of the deep feature PDF is a valuable problem for several reasons. Notably, a. Und
Externí odkaz:
http://arxiv.org/abs/2411.05183
Autor:
Saufi, Abd Essamade, Bellenbaum, Hannah, Read, Martin, Niasse, Nicolas, Barrett, Sean, Hawker, Nicholas, Joiner, Nathan, Chapman, David
Publikováno v:
Volume 53, December 2024, 101159
We present the "First Light Advanced Ignition Model" (FLAIM), a reduced model for the implosion, adiabatic compression, volume ignition and thermonuclear burn of a spherical DT fuel capsule utilising a high-Z metal pusher. FLAIM is characterised by a
Externí odkaz:
http://arxiv.org/abs/2411.05035