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pro vyhledávání: '"P, Drouin"'
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Akademický článek
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Akademický článek
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Autor:
Bodin, Arnaud, Drouin, Christian
We propose a mathematical walk around the gcd of the values $A(n)$ and $B(n)$ of two polynomials evaluated at an integer $n$. This is an opportunity to use a very powerful tool: the resultant.
Comment: The final version will appear in the Americ
Comment: The final version will appear in the Americ
Externí odkaz:
http://arxiv.org/abs/2409.01224
Autor:
Sahu, Gaurav, Puri, Abhay, Rodriguez, Juan, Drouin, Alexandre, Taslakian, Perouz, Zantedeschi, Valentina, Lacoste, Alexandre, Vazquez, David, Chapados, Nicolas, Pal, Christopher, Mudumba, Sai Rajeswar, Laradji, Issam Hadj
Data analytics is essential for extracting valuable insights from data that can assist organizations in making effective decisions. We introduce InsightBench, a benchmark dataset with three key features. First, it consists of 31 datasets representing
Externí odkaz:
http://arxiv.org/abs/2407.06423
Autor:
Boisvert, Léo, Thakkar, Megh, Gasse, Maxime, Caccia, Massimo, De Chezelles, Thibault Le Sellier, Cappart, Quentin, Chapados, Nicolas, Lacoste, Alexandre, Drouin, Alexandre
The ability of large language models (LLMs) to mimic human-like intelligence has led to a surge in LLM-based autonomous agents. Though recent LLMs seem capable of planning and reasoning given user instructions, their effectiveness in applying these c
Externí odkaz:
http://arxiv.org/abs/2407.05291
Autor:
Garg, Nikhil, Florini, Davide, Dufour, Patrick, Muhr, Eloir, Faye, Mathieu, Bocquet, Marc, Querlioz, Damien, Beilliard, Yann, Drouin, Dominique, Alibart, Fabien, Portal, Jean-Michel
Heterogeneous systems with analog CMOS circuits integrated with nanoscale memristive devices enable efficient deployment of neural networks on neuromorphic hardware. CMOS Neuron with low footprint can emulate slow temporal dynamics by operating with
Externí odkaz:
http://arxiv.org/abs/2406.19667
Autor:
Yon, Victor, Galaup, Bastien, Rohrbacher, Claude, Rivard, Joffrey, Godfrin, Clément, Li, Ruoyu, Kubicek, Stefan, De Greve, Kristiaan, Gaudreau, Louis, Dupont-Ferrier, Eva, Beilliard, Yann, Melko, Roger G., Drouin, Dominique
This study presents a machine-learning-based procedure to automate the charge tuning of semiconductor spin qubits with minimal human intervention, addressing one of the significant challenges in scaling up quantum dot technologies. This method exploi
Externí odkaz:
http://arxiv.org/abs/2406.05175
Autor:
Chen, Tong, Siddiquee, Hasan, Rehfuss, Zack, Gao, Shiyuan, Lygouras, Chris, Drouin, Jack, Morano, Vincent, Avers, Keenan E., Schmitt, Christopher J., Podlesnyak, Andrey, Ran, Sheng, Song, Yu, Broholm, Collin
The tetragonal heavy-fermion superconductor CeRh$_2$As$_2$ ($T_{\rm c}=0.3$ K) exhibits an exceptionally high critical field of 14 T for $\textbf{B} \parallel \textbf{c}$. It undergoes a field-driven first-order phase transition between superconducti
Externí odkaz:
http://arxiv.org/abs/2406.03566
Autor:
Mouny, Pierre-Antoine, Dawant, Raphaël, Dufour, Patrick, Valdenaire, Matthieu, Ecoffey, Serge, Pioro-Ladrière, Michel, Beillard, Yann, Drouin, Dominique
Cryogenic memristor-based DC sources offer a promising avenue for in situ biasing of quantum dot arrays. In this study, we present experimental results and discuss the scaling potential for such DC sources. We first demonstrate the operation of a com
Externí odkaz:
http://arxiv.org/abs/2404.10694