Zobrazeno 1 - 10
of 29 180
pro vyhledávání: '"A A Sorokin"'
Autor:
Skryabin, N. N., Biriukov, Yu. A., Dryazgov, M. A., Fldzhyan, S. A., Zhuravitskii, S. A., Argenchiev, A. S., Kondratyev, I. V., Tsoma, L. A., Okhlopkov, K. I., Gruzinov, I. M., Taratorin, K. V., Saygin, M. Yu., Dyakonov, I. V., Rakhlin, M. V., Galimov, A. I., Klimko, G. V., Sorokin, S. V., Sedova, I. V., Kulagina, M. M., Zadiranov, Yu. M., Toropov, A. A., Evlashin, S. A., Korneev, A. A., Kulik, S. P., Straupe, S. S.
We present an experimental platform for linear-optical quantum information processing. Our setup utilizes multiphoton generation using a high-quality single-photon source, which is demultiplexed across multiple spatial channels, a custom-designed, pr
Externí odkaz:
http://arxiv.org/abs/2410.15697
Autor:
Drofa, S. M., Soshenko, V. V., Cojocaru, I. S., Bolshedvorskii, S. V., Vilyuzhanina, P. G., Primak, E. A., Kozodaev, A. M., Chernyavskiy, A., Vins, V. G., Sorokin, V. N., Smolyaninov, A. N., Kilin, S. Ya., Akimov, A. V.
Recently, rotation sensors utilizing the nuclear spins of nitrogen-vacancy color centers in diamond have been demonstrated. However, these devices are power-intensive and challenging to integrate into small chip-based radiofrequency antennas and circ
Externí odkaz:
http://arxiv.org/abs/2410.06658
Autor:
Cojocaru, I. S., Soshenko, V. V., Bolshedvorskii, S. V., Davydov, V. A., Kulikova, L. F., Agafonov, V. N., Chernyavskiy, A., Smolyaninov, A. N., Sorokin, V. N., Kilin, S. Ya., Akimov, A. V.
Temperature sensors based on GeV color center in diamond are attracting a lot of attention in both science and industry. The industrial adoption of these sensors nevertheless, requires the simplest and cheapest possible design for the sensing element
Externí odkaz:
http://arxiv.org/abs/2410.07276
Autor:
Serov, Yuriy, Galimov, Aidar, Smirnov, Dmitry S., Rakhlin, Maxim, Leppenen, Nikita, Klimko, Grigorii, Sorokin, Sergey, Sedova, Irina, Berezina, Daria, Salii, Yuliya, Kulagina, Marina, Zadiranov, Yuriy, Troshkov, Sergey, Shubina, Tatiana V., Toropov, Alexey
Photon entanglement is indispensable for optical quantum technologies. Measurement-based optical quantum computing and all-optical quantum networks rely on multiphoton cluster states consisting of indistinguishable entangled photons. A promising meth
Externí odkaz:
http://arxiv.org/abs/2410.02562
We discuss the single-quantum positron annihilation with a bound electron in the near threshold region. The angular distribution and the total cross section are considered. We obtain a simple analytical expression for the Coulomb potential and for th
Externí odkaz:
http://arxiv.org/abs/2409.20061
Autor:
Rudenkov, Alexander, Kalashnikov, Vladimir L., Demesh, Maxim, Tolstik, Nikolai, Sorokin, Evgeni, Sorokina, Irina T.
We introduce a single-mode Cr:ZnS crystalline waveguide ultrafast amplifier that provides a high gain of 5.5 dB/cm and 2.35 W of average output power. The depressed-cladding buried waveguide is produced by an ultrafast laser writing procedure, which
Externí odkaz:
http://arxiv.org/abs/2409.19443
Autor:
Kuratov, Yuri, Bulatov, Aydar, Anokhin, Petr, Rodkin, Ivan, Sorokin, Dmitry, Sorokin, Artyom, Burtsev, Mikhail
In recent years, the input context sizes of large language models (LLMs) have increased dramatically. However, existing evaluation methods have not kept pace, failing to comprehensively assess the efficiency of models in handling long contexts. To br
Externí odkaz:
http://arxiv.org/abs/2406.10149
Autor:
Deotte, Chris, Sorokin, Ivan, Erdem, Ahmet, Schifferer, Benedikt, Titericz Jr, Gilberto, Jegou, Simon
This paper describes the winning solution of all 5 tasks for the Amazon KDD Cup 2024 Multi Task Online Shopping Challenge for LLMs. The challenge was to build a useful assistant, answering questions in the domain of online shopping. The competition c
Externí odkaz:
http://arxiv.org/abs/2408.04658
Autor:
Brüdigam, Jan, Abbas, Ali-Adeeb, Sorokin, Maks, Fang, Kuan, Hung, Brandon, Guru, Maya, Sosnowski, Stefan, Wang, Jiuguang, Hirche, Sandra, Cleac'h, Simon Le
Robotic manipulation is challenging due to discontinuous dynamics, as well as high-dimensional state and action spaces. Data-driven approaches that succeed in manipulation tasks require large amounts of data and expert demonstrations, typically from
Externí odkaz:
http://arxiv.org/abs/2408.01258
Autor:
Anokhin, Petr, Semenov, Nikita, Sorokin, Artyom, Evseev, Dmitry, Burtsev, Mikhail, Burnaev, Evgeny
Advancements in the capabilities of Large Language Models (LLMs) have created a promising foundation for developing autonomous agents. With the right tools, these agents could learn to solve tasks in new environments by accumulating and updating thei
Externí odkaz:
http://arxiv.org/abs/2407.04363