Zobrazeno 1 - 10
of 4 855
pro vyhledávání: '"Guzik P"'
Autor:
Wojtowicz Kamila, Góra Tomasz, Guzik Paweł, Harpula Magdalena, Chechliński Paweł, Wolak Ewelina, Stryjkowska-Góra Aleksandra
Publikováno v:
Journal of Ultrasonography, Vol 22, Iss 89, Pp 100-108 (2022)
Uterine tumors are a challenge encountered by every gynecologist in clinical practice. In the era of increasing incidence of endometrial cancer in the general population of women at reproductive age, compared to other genital malignancies, we should
Externí odkaz:
https://doaj.org/article/1acd9579fc2d4b89b9751192d0ece207
Autor:
Dobruch-Sobczak Katarzyna, Gumowska Magdalena, Mączewska Joanna, Kolasińska-Ćwikła Agnieszka, Guzik Paweł
Publikováno v:
Journal of Ultrasonography, Vol 22, Iss 89, Pp 93-99 (2022)
Breast cancer is a heterogeneous disease both in its clinical and radiological manifestations and response to treatment. This is largely due to the polymorphism of the histological types as well as diversified molecular profiles of individual breast
Externí odkaz:
https://doaj.org/article/8e86aa217c4740f8a29bb54c56ab91a5
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