Zobrazeno 1 - 10
of 74 773
pro vyhledávání: '"Teo, A."'
Autor:
Rout, Sandeep K., Munoz-Darias, Teo, Homan, Jeroen, Padilla, Montserrat Armas, Russell, David M., Alabarta, Kevin, Saikia, Payaswini
Low-mass X-ray binaries with a neutron star as the primary object show a complex array of phenomenology during outbursts. The observed variability in X-ray emission primarily arises from changes in the innermost regions of the accretion disk, neutron
Externí odkaz:
http://arxiv.org/abs/2412.08171
In 1975, Stein made a wide generalisation of the Ryser-Brualdi-Stein conjecture on transversals in Latin squares, conjecturing that every equi-$n$-square (an $n\times n$ array filled with $n$ symbols where each symbol appears exactly $n$ times) has a
Externí odkaz:
http://arxiv.org/abs/2412.07733
Autor:
Bedalov, Matt. J., Blakely, Matt, Buttler, Peter. D., Carnahan, Caitlin, Chong, Frederic T., Chung, Woo Chang, Cole, Dan C., Goiporia, Palash, Gokhale, Pranav, Heim, Bettina, Hickman, Garrett T., Jones, Eric B., Jones, Ryan A., Khalate, Pradnya, Kim, Jin-Sung, Kuper, Kevin W., Lichtman, Martin T., Lee, Stephanie, Mason, David, Neff-Mallon, Nathan A., Noel, Thomas W., Omole, Victory, Radnaev, Alexander G., Rines, Rich, Saffman, Mark, Shabtai, Efrat, Teo, Mariesa H., Thotakura, Bharath, Tomesh, Teague, Tucker, Angela K.
We report on the fault-tolerant operation of logical qubits on a neutral atom quantum computer, with logical performance surpassing physical performance for multiple circuits including Bell states (12x error reduction), random circuits (15x), and a p
Externí odkaz:
http://arxiv.org/abs/2412.07670
Autor:
Suzuki, Hiromasa, Tsuji, Naomi, Kanemaru, Yoshiaki, Shidatsu, Megumi, Olivera-Nieto, Laura, Safi-Harb, Samar, Kimura, Shigeo S., de la Fuente, Eduardo, Casanova, Sabrina, Mori, Kaya, Wang, Xiaojie, Kato, Sei, Tateishi, Dai, Uchiyama, Hideki, Tanaka, Takaaki, Uchida, Hiroyuki, Inoue, Shun, Huang, Dezhi, Lemoine-Goumard, Marianne, Miura, Daiki, Ogawa, Shoji, Kobayashi, Shogo B., Done, Chris, Parra, Maxime, Trigo, María Díaz, Muñoz-Darias, Teo, Padilla, Montserrat Armas, Tomaru, Ryota, Ueda, Yoshihiro
A recent report on the detection of very-high-energy gamma rays from V4641 Sagittarii (V4641 Sgr) up to ~0.8 peta-electronvolt has made it the second confirmed "PeVatron" microquasar. Here we report on the observation of V4641 Sgr with X-Ray Imaging
Externí odkaz:
http://arxiv.org/abs/2412.08089
Autor:
Moreau, Antoine, Sakat, Émilie, Hugonin, Jean-Paul, Mottin, Téo, Costard, Aidan, Langevin, Denis, Loren, Patricia, Cerutti, Laurent, Flores, Fernando Gonzalez Posada, Taliercio, Thierry
We demonstrate that including the second viscosity of an electron gas in the hydrodynamic model allows for highly accurate modeling of the optical response of heavily doped semiconductors. In our setup, which improves resonance visibility compared to
Externí odkaz:
http://arxiv.org/abs/2412.01466
Autor:
Qingyi, Eunice Hoo, Teo, Lee-Peng
In this work, we show that for all $t\geq e$, \[|\zeta(1+it)|\leq 0.6443 \log t. \] The equality is achieved when $t=17.7477$. We also use the Riemann-Siegel formula and numerical computations to show that \[|\zeta(1+it)|\leq\frac{1}{2}\log t+0.6633\
Externí odkaz:
http://arxiv.org/abs/2412.00766
Quantum-information processing and computation with bosonic qubits are corruptible by noise channels. Using interferometers and photon-subtraction gadgets (PSGs) accompanied by linear amplification and attenuation, we establish linear-optical methods
Externí odkaz:
http://arxiv.org/abs/2411.11313
Stacking, a potent ensemble learning method, leverages a meta-model to harness the strengths of multiple base models, thereby enhancing prediction accuracy. Traditional stacking techniques typically utilize established learning models, such as logist
Externí odkaz:
http://arxiv.org/abs/2410.22722
Autor:
Witowski, Jan, Zeng, Ken, Cappadona, Joseph, Elayoubi, Jailan, Chiru, Elena Diana, Chan, Nancy, Kang, Young-Joon, Howard, Frederick, Ostrovnaya, Irina, Fernandez-Granda, Carlos, Schnabel, Freya, Ozerdem, Ugur, Liu, Kangning, Steinsnyder, Zoe, Thakore, Nitya, Sadic, Mohammad, Yeung, Frank, Liu, Elisa, Hill, Theodore, Swett, Benjamin, Rigau, Danielle, Clayburn, Andrew, Speirs, Valerie, Vetter, Marcus, Sojak, Lina, Soysal, Simone Muenst, Baumhoer, Daniel, Choucair, Khalil, Zong, Yu, Daoud, Lina, Saad, Anas, Abdulsattar, Waleed, Beydoun, Rafic, Pan, Jia-Wern, Makmur, Haslina, Teo, Soo-Hwang, Pak, Linda Ma, Angel, Victor, Zilenaite-Petrulaitiene, Dovile, Laurinavicius, Arvydas, Klar, Natalie, Piening, Brian D., Bifulco, Carlo, Jun, Sun-Young, Yi, Jae Pak, Lim, Su Hyun, Brufsky, Adam, Esteva, Francisco J., Pusztai, Lajos, LeCun, Yann, Geras, Krzysztof J.
Treatment selection in breast cancer is guided by molecular subtypes and clinical characteristics. Recurrence risk assessment plays a crucial role in personalizing treatment. Current methods, including genomic assays, have limited accuracy and clinic
Externí odkaz:
http://arxiv.org/abs/2410.21256
Recently, prompt learning has emerged as the state-of-the-art (SOTA) for fair text-to-image (T2I) generation. Specifically, this approach leverages readily available reference images to learn inclusive prompts for each target Sensitive Attribute (tSA
Externí odkaz:
http://arxiv.org/abs/2410.18615