Zobrazeno 1 - 10
of 5 097
pro vyhledávání: '"Roszak, A."'
Autor:
Płodzień, Marcin, Das, Sambunath, Lewenstein, Maciej, Psaroudaki, Christina, Roszak, Katarzyna
Extracting information from quantum many-body systems remains a key challenge in quantum technologies due to experimental limitations. In this work, we employ a single spin qubit to probe a strongly interacting system, creating an environment conduci
Externí odkaz:
http://arxiv.org/abs/2410.22003
Autor:
Kuniej, Mateusz, Roszak, Katarzyna
We propose a method for the estimation of the initial polarization of spinful nuclei of the ${}^{13}C$ isotope in diamond via a measurement of the evolution of the coherence of an NV center spin qubit. Existing polarization measurement methods are di
Externí odkaz:
http://arxiv.org/abs/2401.03916
We show that the methods for quantification of system-environment entanglement that were recently developed for interactions that lead to pure decoherence of the system can be straightforwardly generalized to time-dependent Hamiltonians of the same t
Externí odkaz:
http://arxiv.org/abs/2312.02670
Autor:
Maki Sato, Magdalena Roszak, Takahiro Hashimoto, Barbara Kołodziejczak, Denis Gubin, Neil Boudville, Edyta Kawka, Andrzej Bręborowicz, Janusz Witowski, Dominika Kanikowska
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background People differ in their preferred time for intellectual activities. Morningness-eveningness preferences describe the preferred time for performing daily activities and are determined by chronotype. Chronotype reflects circadian pre
Externí odkaz:
https://doaj.org/article/a25e100a5951479199a2c87ce54ffcf8
Publikováno v:
Phys. Rev. A 109, 022405 (2024)
We build a machine learning model to detect correlations in a three-qubit system using a neural network trained in an unsupervised manner on randomly generated states. The network is forced to recognize separable states, and correlated states are det
Externí odkaz:
http://arxiv.org/abs/2307.11091
Autor:
Lukas Richter, Irina Smolina, Andrzej Pawlak, Daniela Schob, Robert Roszak, Philipp Maasch, Matthias Ziegenhorn
Publikováno v:
Applied Mechanics, Vol 5, Iss 3, Pp 533-552 (2024)
This paper describes the self-heating effects resulting from mechanical deformation in the additively manufactured aluminium alloy AlSi7Mg0.6. The material’s self-heating effect results from irreversible changes in the material’s microstructure t
Externí odkaz:
https://doaj.org/article/0fd3255bc6f94d3ab665ef1a19a76076
Autor:
Andrzej Nowok, Szymon Sobczak, Kinga Roszak, Anna Z. Szeremeta, Mirosław Mączka, Andrzej Katrusiak, Sebastian Pawlus, Filip Formalik, Antonio José Barros dos Santos, Waldeci Paraguassu, Adam Sieradzki
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Three-dimensional organic-inorganic perovskites are rapidly evolving materials with diverse applications. This study focuses on their two representatives - acetamidinium manganese(II) formate (AceMn) and formamidinium manganese(II) formate (
Externí odkaz:
https://doaj.org/article/1fa23caabc7f4459bfccfb3e1796a344
Autor:
Magdalena Anita Roszak, Anna Bręborowicz, Aleksandra Szczepankiewicz, Marcin Mikoś, Zuzanna Bukowy-Bieryłło, Barbara Więckowska, Laura Behan, Hanna Dmeńska, Joanna Goździk-Spychalska, Agata Nowicka, Ewa Sapiejka, Paulina Famulska, Elżbieta Gąsecka, Andrzej Pogorzelski, Irena Wojsyk-Banaszak
Publikováno v:
Advances in Respiratory Medicine, Vol 92, Iss 4, Pp 254-262 (2024)
In recent years, questionnaires were published in English to assess the quality of life of patients with PCD (Primary Ciliary Diskinesia) for adults, adolescents aged 13–17 years, and children aged 6–12 years and their caregivers. This study aime
Externí odkaz:
https://doaj.org/article/43b2a2ce852e444f86fe213a0f422568
Autor:
Paulina Kowalska, Julia Obersztyn, Urszula Kowalska, Hubert Kaczmarek, Anna Smelkowska, Magdalena Roszak
Publikováno v:
Critical Care Innovations, Vol 7, Iss 2, Pp 20-33 (2024)
INTRODUCTION: In the education of medical professionals, thorough theoretical and practical preparation of future healthcare professionals is highly important. Current developments and technological advances offer considerable opportunities for the d
Externí odkaz:
https://doaj.org/article/2fb9e3df5e854d95b31f2c9289ca3463
Machine learning applications, especially in the fields of me\-di\-cine and social sciences, are slowly being subjected to increasing scrutiny. Similarly to sample size planning performed in clinical and social studies, lawmakers and funding agencies
Externí odkaz:
http://arxiv.org/abs/2301.05702