Zobrazeno 1 - 10
of 59 904
pro vyhledávání: '"A Freund"'
Autor:
Miller, Daniel, Levi, Kyano, Postler, Lukas, Steiner, Alex, Bittel, Lennart, White, Gregory A. L., Tang, Yifan, Kuehnke, Eric J., Mele, Antonio A., Khatri, Sumeet, Leone, Lorenzo, Carrasco, Jose, Marciniak, Christian D., Pogorelov, Ivan, Guevara-Bertsch, Milena, Freund, Robert, Blatt, Rainer, Schindler, Philipp, Monz, Thomas, Ringbauer, Martin, Eisert, Jens
Throughout its history, the theory of quantum error correction has heavily benefited from translating classical concepts into the quantum setting. In particular, classical notions of weight enumerators, which relate to the performance of an error-cor
Externí odkaz:
http://arxiv.org/abs/2408.16914
Autor:
Freund, Henry P., O'Shea, Patrick G.
Terawatt x-ray free-electron lasers (XFELs) represent the frontier in further development of x-ray sources and require high current densities with strong transverse focusing. In this paper, we investigate the implications/potentialities of TW XFELs o
Externí odkaz:
http://arxiv.org/abs/2408.15363
This study introduces an innovative local statistical moment approach for estimating Kramers-Moyal coefficients, effectively bridging the gap between nonparametric and parametric methodologies. These coefficients play a crucial role in characterizing
Externí odkaz:
http://arxiv.org/abs/2408.13555
Autor:
Nützel, Ludwig, Gresch, Alexander, Hehn, Lukas, Marti, Lucas, Freund, Robert, Steiner, Alex, Marciniak, Christian D., Eckstein, Timo, Stockinger, Nina, Wolf, Stefan, Monz, Thomas, Kühn, Michael, Hartmann, Michael J.
Quantum chemical calculations are among the most promising applications for quantum computing. Implementations of dedicated quantum algorithms on available quantum hardware were so far, however, mostly limited to comparatively simple systems without
Externí odkaz:
http://arxiv.org/abs/2408.10801
Trained neural networks (NN) have attractive features for closing governing equations, but in the absence of additional constraints, they can stray from physical reality. A NN formulation is introduced to preclude spurious oscillations that violate s
Externí odkaz:
http://arxiv.org/abs/2408.03413
Large Language Models (LLMs) are used for many tasks, including those related to coding. An important aspect of being able to utilize LLMs is the ability to assess their fitness for specific usages. The common practice is to evaluate LLMs against a s
Externí odkaz:
http://arxiv.org/abs/2407.19772
Autor:
Karthik, Enamundram Naga, Valošek, Jan, Farner, Lynn, Pfyffer, Dario, Schading-Sassenhausen, Simon, Lebret, Anna, David, Gergely, Smith, Andrew C., Weber II, Kenneth A., Seif, Maryam, Group, RHSCIR Network Imaging, Freund, Patrick, Cohen-Adad, Julien
Spinal cord injury (SCI) is a devastating incidence leading to permanent paralysis and loss of sensory-motor functions potentially resulting in the formation of lesions within the spinal cord. Imaging biomarkers obtained from magnetic resonance imagi
Externí odkaz:
http://arxiv.org/abs/2407.17265
Autor:
Flanagan, Cormac, Freund, Stephen N.
Rely-guarantee (RG) logic uses thread interference specifications (relies and guarantees) to reason about the correctness of multithreaded software. Unfortunately, RG logic requires each function postcondition to be "stabilized" or specialized to the
Externí odkaz:
http://arxiv.org/abs/2407.08070
Autor:
Freund, Anton
Fra\"iss\'e's conjecture (proved by Laver) is implied by the $\Pi^1_1$-comprehension axiom of reverse mathematics, as shown by Montalb\'an. The implication must be strict for reasons of quantifier complexity, but it seems that no better bound has bee
Externí odkaz:
http://arxiv.org/abs/2406.13485
Autor:
Şeker, Enes, Thomas, Rijil, von Hünefeld, Guillermo, Suckow, Stephan, Kaveh, Mahdi, Ronniger, Gregor, Safari, Pooyan, Sackey, Isaac, Stahl, David, Schubert, Colja, Fischer, Johannes Karl, Freund, Ronald, Lemme, Max C.
The fields of machine learning and artificial intelligence drive researchers to explore energy-efficient, brain-inspired new hardware. Reservoir computing encompasses recurrent neural networks for sequential data processing and matches the performanc
Externí odkaz:
http://arxiv.org/abs/2406.13549