Zobrazeno 1 - 10
of 22 503
pro vyhledávání: '"Alexander, F."'
It is expected that continuum spacetime emerges via phase transition in the tensorial group field theory (TGFT) approach to quantum gravity. Recent work on the application of Landau-Ginzburg mean-field theory to progressively realistic TGFT models ha
Externí odkaz:
http://arxiv.org/abs/2407.02325
Autor:
Agrawal, Anjali A., Job, Joshua, Wilson, Tyler L., Saadatmand, S. N., Hodson, Mark J., Mutus, Josh Y., Caesura, Athena, Johnson, Peter D., Elenewski, Justin E., Morrell, Kaitlyn J., Kemper, Alexander F.
Understanding the physics of strongly correlated materials is one of the grand challenge problems for physics today. A large class of scientifically interesting materials, from high-$T_c$ superconductors to spin liquids, involve medium to strong corr
Externí odkaz:
http://arxiv.org/abs/2406.06511
In the current framework of Geometric Quantum Machine Learning, the canonical method for constructing a variational ansatz that respects the symmetry of some group action is by forcing the circuit to be equivariant, i.e., to commute with the action o
Externí odkaz:
http://arxiv.org/abs/2406.04418
We study the semi-classical limit of the recently proposed coherent spin foam model for (2+1) Lorentzian quantum gravity. Specifically, we analyze the gluing equations derived from the stationary phase approximation of the vertex amplitude. Typically
Externí odkaz:
http://arxiv.org/abs/2404.16943
In this paper we use a modification of the Newtonian gravitational potential with a non-linear Yukawa-like correction, as it was proposed by C. Will earlier to obtain new bounds on graviton mass from the observed orbits of S-stars around the Galactic
Externí odkaz:
http://arxiv.org/abs/2404.09795
We continue the series of articles on the application of Landau-Ginzburg mean-field theory to unveil the basic phase structure of tensorial field theories which are characterized by combinatorially non-local interactions. Among others, this class cov
Externí odkaz:
http://arxiv.org/abs/2404.04524
Imaginary-time response functions of finite-temperature quantum systems are often obtained with methods that exhibit stochastic or systematic errors. Reducing these errors comes at a large computational cost -- in quantum Monte Carlo simulations, the
Externí odkaz:
http://arxiv.org/abs/2403.12349
Autor:
Tempelman, Joshua R., Weidemann, Tobias, Flynn, Eric B., Matlack, Kathryn H., Vakakis, Alexander F.
Clusters of wave-scattering oscillators offer the ability to passively control wave energy in elastic continua. However, designing such clusters to achieve a desired wave energy pattern is a highly nontrivial task. While the forward scattering proble
Externí odkaz:
http://arxiv.org/abs/2402.17816
The advancement of deep learning in human activity recognition (HAR) using 3D skeleton data is critical for applications in healthcare, security, sports, and human-computer interaction. This paper tackles a well-known gap in the field, which is the l
Externí odkaz:
http://arxiv.org/abs/2402.12790
This paper introduces AutoGCN, a generic Neural Architecture Search (NAS) algorithm for Human Activity Recognition (HAR) using Graph Convolution Networks (GCNs). HAR has gained attention due to advances in deep learning, increased data availability,
Externí odkaz:
http://arxiv.org/abs/2402.01313