Zobrazeno 1 - 10
of 2 556
pro vyhledávání: '"Félix, C."'
Autor:
Seidlitz, Silvia, Hölzl, Katharina, von Garrel, Ayca, Sellner, Jan, Katzenschlager, Stephan, Hölle, Tobias, Fischer, Dania, von der Forst, Maik, Schmitt, Felix C. F., Weigand, Markus A., Maier-Hein, Lena, Dietrich, Maximilian
With sepsis remaining a leading cause of mortality, early identification of septic patients and those at high risk of death is a challenge of high socioeconomic importance. The driving hypothesis of this study was that hyperspectral imaging (HSI) cou
Externí odkaz:
http://arxiv.org/abs/2408.09873
Autor:
Baker, Samuel J., Hobley, Michael A., Scherl, Isabel, Fang, Xiaohang, Leach, Felix C. P., Davy, Martin H.
We present EngineBench, the first machine learning (ML) oriented database to use high quality experimental data for the study of turbulent flows inside combustion machinery. Prior datasets for ML in fluid mechanics are synthetic or use overly simplis
Externí odkaz:
http://arxiv.org/abs/2406.03325
Efficiently harvesting thermodynamic resources requires a precise understanding of their structure. This becomes explicit through the lens of information engines -- thermodynamic engines that use information as fuel. Maximizing the work harvested usi
Externí odkaz:
http://arxiv.org/abs/2402.16995
We consider the estimation of parameters encoded in the measurement record of a continuously monitored quantum system in the jump unraveling. This unraveling picture corresponds to a single-shot scenario, where information is continuously gathered. H
Externí odkaz:
http://arxiv.org/abs/2402.06556
Autor:
Pedersen, Jens E., Abreu, Steven, Jobst, Matthias, Lenz, Gregor, Fra, Vittorio, Bauer, Felix C., Muir, Dylan R., Zhou, Peng, Vogginger, Bernhard, Heckel, Kade, Urgese, Gianvito, Shankar, Sadasivan, Stewart, Terrence C., Sheik, Sadique, Eshraghian, Jason K.
Publikováno v:
Nat Commun 15, 8122 (2024)
Spiking neural networks and neuromorphic hardware platforms that simulate neuronal dynamics are getting wide attention and are being applied to many relevant problems using Machine Learning. Despite a well-established mathematical foundation for neur
Externí odkaz:
http://arxiv.org/abs/2311.14641
We discuss the role of non-ideal measurements within the context of measurement engines by contrasting examples of measurement engines which have the same work output but with varying amounts of entanglement. Accounting for the cost of resetting, cor
Externí odkaz:
http://arxiv.org/abs/2308.02381
We study the problem of parameter estimation in time series stemming from general stochastic processes, where the outcomes may exhibit arbitrary temporal correlations. In particular, we address the question of how much Fisher information is lost if t
Externí odkaz:
http://arxiv.org/abs/2305.16480
Publikováno v:
Phys. Rev. E 109, 014131 (2024)
Within quantum thermodynamics, many tasks are modelled by processes that require work sources represented by out-of-equilibrium quantum systems, often dubbed quantum batteries, in which work can be deposited or from which work can be extracted. Here
Externí odkaz:
http://arxiv.org/abs/2303.16676
The jump unravelling of a quantum master equation decomposes the dynamics of an open quantum system into abrupt jumps, interspersed by periods of coherent dynamics where no jumps occur. Simulating these jump trajectories is computationally expensive,
Externí odkaz:
http://arxiv.org/abs/2303.15405
Textbook quantum physics features two types of dynamics, reversible unitary dynamics and irreversible measurements. The latter stands in conflict with the laws of thermodynamics and has evoked debate on what actually constitutes a measurement. With t
Externí odkaz:
http://arxiv.org/abs/2302.11253