Zobrazeno 1 - 10
of 49 344
pro vyhledávání: '"A Johnsen"'
The study of linear codes over a finite field of odd cardinality, derived from determinantal varieties obtained from symmetric matrices of bounded rank, was initiated in a recent paper by the authors. There, one found the minimum distance of the code
Externí odkaz:
http://arxiv.org/abs/2412.05936
Whereas the semantics of probabilistic languages has been extensively studied, specification languages for their properties have received less attention -- with the notable exception of recent and on-going efforts by Joost-Pieter Katoen and collabora
Externí odkaz:
http://arxiv.org/abs/2412.00906
We consider the spin dynamics of a normal metal-ferromagnet heterostructure, with emphasis on spin-nutation terms arising from a dynamical Ruderman-Kittel-Kasuya-Yosida (RKKY) interaction. We find that the spin-nutation term is anisotropic in spin sp
Externí odkaz:
http://arxiv.org/abs/2411.05081
Digital tools for text analysis have long been essential for the searchability and accessibility of digitised library collections. Recent computer vision advances have introduced similar capabilities for visual materials, with deep learning-based emb
Externí odkaz:
http://arxiv.org/abs/2410.14969
Autor:
Kashani, Mahya Mohammadi, John, Tobias, Coffelt, Jeremy P., Johnsen, Einar Broch, Wasowski, Andrzej
Autonomous Underwater Vehicles (AUVs) need to operate for days without human intervention and thus must be able to do efficient and reliable task planning. Unfortunately, efficient task planning requires deliberately abstract domain models (for scala
Externí odkaz:
http://arxiv.org/abs/2410.01018
Publikováno v:
Proc. Natl. Acad. Sci. 121, e2404009121 (2024)
The Majorana fermion offers fascinating possibilities such as non-Abelian statistics and non-local robust qubits, and hunting it is one of the most important topics in current condensed matter physics. Most of the efforts have been focused on the Maj
Externí odkaz:
http://arxiv.org/abs/2409.17240
Tabular reinforcement learning methods cannot operate directly on continuous state spaces. One solution for this problem is to partition the state space. A good partitioning enables generalization during learning and more efficient exploitation of pr
Externí odkaz:
http://arxiv.org/abs/2409.16791
Autor:
Kamra, Lina Johnsen, Fu, Liang
Superconductors can form ideal diodes carrying nondissipative supercurrents in the forward direction and dissipative currents in the backward direction. The Josephson diode has proven to be a promising design where the junction between the two superc
Externí odkaz:
http://arxiv.org/abs/2409.00223
Autor:
Chen, Yenho, Mudrik, Noga, Johnsen, Kyle A., Alagapan, Sankaraleengam, Charles, Adam S., Rozell, Christopher J.
Time-varying linear state-space models are powerful tools for obtaining mathematically interpretable representations of neural signals. For example, switching and decomposed models describe complex systems using latent variables that evolve according
Externí odkaz:
http://arxiv.org/abs/2408.16862
We determine the higher weight spectra of $q$-ary Reed-Muller codes $C_q=RM_q(2,2)$ for all prime powers $q$. This is equivalent to finding the usual weight distributions of all extension codes of $C_q$ over every field extension of $F_q$ of finite d
Externí odkaz:
http://arxiv.org/abs/2408.02548