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Akademický článek
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Distributed quantum computation (DQC) offers a promising approach for scalable quantum computing, where high-fidelity non-local operations among remote devices are required for universal quantum computation. These operations are typically implemented
Externí odkaz:
http://arxiv.org/abs/2411.10024
Autor:
Huang, Linlin, Kawaguchi, Mamiya, Maitiniyazi, Yadikaer, Matsuzaki, Shinya, Tomiya, Akio, Yamada, Masatoshi
We work on the functional renormalization group analysis on a four-fermion model with the CP and P violation in light of nonperturbative exploration of the infrared dynamics of quantum chromodynamics (QCD) arising from the spontaneous CP violation mo
Externí odkaz:
http://arxiv.org/abs/2411.07027
Autor:
Matsuzaki, Fuka, Sato, Haru-Tada
This paper sheds light on the limitations of Large Language Models (LLMs) by rigorously evaluating their ability to process masked text. We introduce two novel tasks: MskQA, measuring reasoning on masked question-answering datasets like RealtimeQA, a
Externí odkaz:
http://arxiv.org/abs/2411.05665
Autor:
Sichanugrist, Thanaporn, Fukuda, Hajime, Moroi, Takeo, Nakayama, Kazunori, Chigusa, So, Mizuochi, Norikazu, Hazumi, Masashi, Matsuzaki, Yuichiro
Entanglement is a resource to improve the sensitivity of quantum sensors. In an ideal case, using an entangled state as a probe to detect target fields, we can beat the standard quantum limit by which all classical sensors are bounded. However, since
Externí odkaz:
http://arxiv.org/abs/2410.21699
The decrease of the chiral pseudocritical temperature $T_{\mathrm{pc}}$ with an applied strong magnetic field has been extensively investigated by various QCD low-energy effective models and lattice QCD at physical point. We find that this decreasing
Externí odkaz:
http://arxiv.org/abs/2410.11360
Linear regression is a data analysis technique, which is categorized as supervised learning. By utilizing known data, we can predict unknown data. Recently, researchers have explored the use of quantum annealing (QA) to perform linear regression wher
Externí odkaz:
http://arxiv.org/abs/2410.08569
Autor:
Matsuzaki, Katsuhiko
By using a method of simultaneous uniformization, we parametrize the space of chord-arc curves within the product of BMO Teichm\"uller spaces. This method provides a biholomorphic correspondence between such embeddings $\gamma$ onto chord-arc curves
Externí odkaz:
http://arxiv.org/abs/2410.06635
Autor:
Isomoto, Kosei, Mizutani, Akinobu, Matsuzaki, Fumiya, Sato, Hikaru, Matsumoto, Ikuya, Yamao, Kosei, Kawabata, Takuya, Shiba, Tomoya, Yano, Yuga, Yokota, Atsuki, Kanaoka, Daiju, Yamaguchi, Hiromasa, Murai, Kazuya, Minje, Kim, Shen, Lu, Suzuka, Mayo, Anraku, Moeno, Yamaguchi, Naoki, Fujimatsu, Satsuki, Tokuno, Shoshi, Mizo, Tadataka, Fujino, Tomoaki, Nakadera, Yuuki, Shishido, Yuka, Nakaoka, Yusuke, Tanaka, Yuichiro, Morie, Takashi, Tamukoh, Hakaru
This paper provides an overview of the techniques employed by Hibikino-Musashi@Home, which intends to participate in the domestic standard platform league. The team has developed a dataset generator for training a robot vision system and an open-sour
Externí odkaz:
http://arxiv.org/abs/2410.06192