Zobrazeno 1 - 10
of 34 285
pro vyhledávání: '"A Taira"'
Autor:
Rodari, Giovanni, Hoch, Francesco, Suprano, Alessia, Giordani, Taira, Negro, Elena, Carvacho, Gonzalo, Spagnolo, Nicolò, Galvão, Ernesto F., Sciarrino, Fabio
Publikováno v:
Science Advances 10, eado6244 (2024)
A Bernoulli factory is a randomness manipulation routine that takes as input a Bernoulli random variable, outputting another Bernoulli variable whose bias is a function of the input bias. Recently proposed quantum-to-quantum Bernoulli factory schemes
Externí odkaz:
http://arxiv.org/abs/2410.11685
Autor:
Hoch, Francesco, Rodari, Giovanni, Giordani, Taira, Perret, Paul, Spagnolo, Nicolò, Carvacho, Gonzalo, Pentangelo, Ciro, Piacentini, Simone, Crespi, Andrea, Ceccarelli, Francesco, Osellame, Roberto, Sciarrino, Fabio
In the current era of noisy intermediate-scale quantum computers, variational quantum algorithms represent one of the most viable approaches for their application to solve tasks of interest. These algorithms train a parameterized quantum circuit to e
Externí odkaz:
http://arxiv.org/abs/2410.06966
Autor:
Kaminaga, Taira, Sasahara, Hampei
Assessing data informativity, determining whether the measured data contains sufficient information for a specific control objective, is a fundamental challenge in data-driven control. In noisy scenarios, existing studies deal with system noise and m
Externí odkaz:
http://arxiv.org/abs/2410.05702
Autor:
Hoch, Francesco, Giordani, Taira, Castello, Luca, Carvacho, Gonzalo, Spagnolo, Nicolò, Ceccarelli, Francesco, Pentangelo, Ciro, Piacentini, Simone, Crespi, Andrea, Osellame, Roberto, Galvão, Ernesto F., Sciarrino, Fabio
Publikováno v:
Nature Photonics (2024)
Generation and manipulation of randomness is a relevant task for several applications of information technology. It has been shown that quantum mechanics offers some advantages for this type of task. A promising model for randomness manipulation is p
Externí odkaz:
http://arxiv.org/abs/2410.06204
Autor:
Deitke, Matt, Clark, Christopher, Lee, Sangho, Tripathi, Rohun, Yang, Yue, Park, Jae Sung, Salehi, Mohammadreza, Muennighoff, Niklas, Lo, Kyle, Soldaini, Luca, Lu, Jiasen, Anderson, Taira, Bransom, Erin, Ehsani, Kiana, Ngo, Huong, Chen, YenSung, Patel, Ajay, Yatskar, Mark, Callison-Burch, Chris, Head, Andrew, Hendrix, Rose, Bastani, Favyen, VanderBilt, Eli, Lambert, Nathan, Chou, Yvonne, Chheda, Arnavi, Sparks, Jenna, Skjonsberg, Sam, Schmitz, Michael, Sarnat, Aaron, Bischoff, Byron, Walsh, Pete, Newell, Chris, Wolters, Piper, Gupta, Tanmay, Zeng, Kuo-Hao, Borchardt, Jon, Groeneveld, Dirk, Dumas, Jen, Nam, Crystal, Lebrecht, Sophie, Wittlif, Caitlin, Schoenick, Carissa, Michel, Oscar, Krishna, Ranjay, Weihs, Luca, Smith, Noah A., Hajishirzi, Hannaneh, Girshick, Ross, Farhadi, Ali, Kembhavi, Aniruddha
Today's most advanced multimodal models remain proprietary. The strongest open-weight models rely heavily on synthetic data from proprietary VLMs to achieve good performance, effectively distilling these closed models into open ones. As a result, the
Externí odkaz:
http://arxiv.org/abs/2409.17146
Autor:
Fukami, Kai, Taira, Kunihiko
Modern machine-learning techniques are generally considered data-hungry. However, this may not be the case for turbulence as each of its snapshots can hold more information than a single data file in general machine-learning applications. This study
Externí odkaz:
http://arxiv.org/abs/2409.04923
Autor:
Marzec, E., Ajimura, S., Antonakis, A., Botran, M., Cheoun, M. K., Choi, J. H., Choi, J. W., Choi, J. Y., Dodo, T., Furuta, H., Goh, J. H., Haga, K., Harada, M., Hasegawa, S., Hino, Y., Hiraiwa, T., Hwang, W., Iida, T., Iwai, E., Iwata, S., Jang, H. I., Jang, J. S., Jang, M. C., Jeon, H. K., Jeon, S. H., Joo, K. K., Jung, D. E., Kang, S. K., Kasugai, Y., Kawasaki, T., Kim, E. J., Kim, J. Y., Kim, E. M., Kim, S. Y., Kim, W., Kim, S. B., Kinoshita, H., Konno, T., Kuwata, K., Lee, D. H., Lee, S., Lim, I. T., Little, C., Maruyama, T., Masuda, S., Meigo, S., Monjushiro, S., Moon, D. H., Nakano, T., Niiyama, M., Nishikawa, K., Noumachi, M., Pac, M. Y., Park, B. J., Park, H. W., Park, J. B., Park, J. S., Park, R. G., Peeters, S. J. M., Roellinghoff, G., Rott, C., Ryu, J. W., Sakai, K., Sakamoto, S., Shima, T., Shin, C. D., Spitz, J., Stancu, I., Suekane, F., Sugaya, Y., Suzuya, K., Taira, M., Takeuchi, Y., Wang, W., Waterfield, J., Wei, W., White, R., Yamaguchi, Y., Yeh, M., Yeo, I. S., Yoo, C., Yu, I., Zohaib, A.
We present the first measurement of the missing energy due to nuclear effects in monoenergetic, muon neutrino charged-current interactions on carbon, originating from $K^+ \rightarrow \mu^+ \nu_\mu$ decay-at-rest ($E_{\nu_\mu}=235.5$ MeV), performed
Externí odkaz:
http://arxiv.org/abs/2409.01383
Autor:
Smith, Luke, Taira, Kunihiko
At high incidence, low-aspect-ratio wings present a unique set of aerodynamic characteristics, including flow separation, vortex shedding, and unsteady force production. Furthermore, low-aspect ratio wings exhibit a highly impactful tip vortex, which
Externí odkaz:
http://arxiv.org/abs/2408.04801
Autor:
Kawamura, Taira, Ohashi, Yoji
We present a theoretical review of the recent progress in nonequilibrium BCS (Bardeen-Cooper-Schrieffer)-BEC (Bose-Einstein condensation) crossover physics. As a paradigmatic example, we consider a strongly interacting driven-dissipative two-componen
Externí odkaz:
http://arxiv.org/abs/2408.00446
Autor:
Hoch, Francesco, Rodari, Giovanni, Caruccio, Eugenio, Polacchi, Beatrice, Carvacho, Gonzalo, Giordani, Taira, Doosti, Mina, Nicolau, Sebastià, Pentangelo, Ciro, Piacentini, Simone, Crespi, Andrea, Ceccarelli, Francesco, Osellame, Roberto, Galvão, Ernesto F., Spagnolo, Nicolò, Sciarrino, Fabio
A seminal task in quantum information theory is to realize a device able to produce copies of a generic input state with the highest possible output fidelity, thus realizing an \textit{optimal} quantum cloning machine. Recently, the concept of variat
Externí odkaz:
http://arxiv.org/abs/2407.06026