Zobrazeno 1 - 10
of 4 856
pro vyhledávání: '"Guzik, P."'
Deneb, the prototype alpha Cygni variable, is a blue-white supergiant that shows irregular variability with quasi-period around 12 days in brightness and radial velocity. Abt et al. (2023) found that larger amplitude 12-day variations appear to resum
Externí odkaz:
http://arxiv.org/abs/2410.23985
Autor:
Schleich, Philipp, Skreta, Marta, Kristensen, Lasse B., Vargas-Hernández, Rodrigo A., Aspuru-Guzik, Alán
The feasibility of variational quantum algorithms, the most popular correspondent of neural networks on noisy, near-term quantum hardware, is highly impacted by the circuit depth of the involved parametrized quantum circuits (PQCs). Higher depth incr
Externí odkaz:
http://arxiv.org/abs/2410.23940
Deneb (alpha Cygni) is a bright (V magnitude 1.25) blue-white supergiant (spectral type A2 Ia) which shows variability in both radial velocity and photometric measurements. H. Abt reviewed radial velocity measurements by Paddock (1935) using the Lick
Externí odkaz:
http://arxiv.org/abs/2410.23936
Bayesian optimization (BO) has become an indispensable tool for autonomous decision-making across diverse applications from autonomous vehicle control to accelerated drug and materials discovery. With the growing interest in self-driving laboratories
Externí odkaz:
http://arxiv.org/abs/2410.09290
Autor:
Du, Yuanqi, Plainer, Michael, Brekelmans, Rob, Duan, Chenru, Noé, Frank, Gomes, Carla P., Aspuru-Guzik, Alán, Neklyudov, Kirill
Rare event sampling in dynamical systems is a fundamental problem arising in the natural sciences, which poses significant computational challenges due to an exponentially large space of trajectories. For settings where the dynamical system of intere
Externí odkaz:
http://arxiv.org/abs/2410.07974
In machine learning datasets with symmetries, the paradigm for backward compatibility with symmetry-breaking has been to relax equivariant architectural constraints, engineering extra weights to differentiate symmetries of interest. However, this pro
Externí odkaz:
http://arxiv.org/abs/2410.03989
Autor:
Cheng, Austin, Ser, Cher Tian, Skreta, Marta, Guzmán-Cordero, Andrés, Thiede, Luca, Burger, Andreas, Aldossary, Abdulrahman, Leong, Shi Xuan, Pablo-García, Sergio, Strieth-Kalthoff, Felix, Aspuru-Guzik, Alán
Publikováno v:
Faraday Discuss., 2024
Machine learning has been pervasively touching many fields of science. Chemistry and materials science are no exception. While machine learning has been making a great impact, it is still not reaching its full potential or maturity. In this perspecti
Externí odkaz:
http://arxiv.org/abs/2409.10304
Autor:
Bagherimehrab, Mohsen, Berry, Dominic W., Schleich, Philipp, Aldossary, Abdulrahman, Angulo, Jorge A. Campos Gonzalez, Aspuru-Guzik, Alan
Hamiltonian simulation using product formulas is arguably the most straightforward and practical approach for algorithmic simulation of a quantum system's dynamics on a quantum computer. Here we present corrected product formulas (CPFs), a variation
Externí odkaz:
http://arxiv.org/abs/2409.08265
Understanding is a crucial yet elusive concept in artificial intelligence (AI). This work proposes a framework for analyzing understanding based on the notion of composability. Given any subject (e.g., a person or an AI), we suggest characterizing it
Externí odkaz:
http://arxiv.org/abs/2408.08463
Autor:
Wang, Haorui, Skreta, Marta, Ser, Cher-Tian, Gao, Wenhao, Kong, Lingkai, Strieth-Kalthoff, Felix, Duan, Chenru, Zhuang, Yuchen, Yu, Yue, Zhu, Yanqiao, Du, Yuanqi, Aspuru-Guzik, Alán, Neklyudov, Kirill, Zhang, Chao
Molecular discovery, when formulated as an optimization problem, presents significant computational challenges because optimization objectives can be non-differentiable. Evolutionary Algorithms (EAs), often used to optimize black-box objectives in mo
Externí odkaz:
http://arxiv.org/abs/2406.16976