Zobrazeno 1 - 10
of 10 326
pro vyhledávání: '"Broken Symmetries"'
Recognizing symmetries in data allows for significant boosts in neural network training, which is especially important where training data are limited. In many cases, however, the exact underlying symmetry is present only in an idealized dataset, and
Externí odkaz:
http://arxiv.org/abs/2412.18773
Motivated by the abundance of symmetry breaking states in magic-angle twisted bilayer graphene and other two-dimensional materials, we study superconducting (SC) and charge orders in two-dimensional topological flat bands in the strong correlation re
Externí odkaz:
http://arxiv.org/abs/2408.14533
Publikováno v:
Mach. Learn.: Sci. Technol. 5 04LT01 (2024)
Symmetry is one of the most central concepts in physics, and it is no surprise that it has also been widely adopted as an inductive bias for machine-learning models applied to the physical sciences. This is especially true for models targeting the pr
Externí odkaz:
http://arxiv.org/abs/2406.17747
Autor:
Paul Preuss
'Paul Preuss has done a fine thing. He has written a magnificent book in BROKEN SYMMETRIES. I admire his knowledge and artistry.'—Roger Zelazny BROKEN SYMMETRIES introduces theoretical physicist Peter Slater and world-traveling photojournalist Anne
This paper studies the reduction by symmetry of variational problems on Lie groups and Riemannian homogeneous spaces. We derive the reduced equations of motion in the case of Lie groups endowed with a left-invariant metric, and on Lie groups that adm
Externí odkaz:
http://arxiv.org/abs/2401.01129
Autor:
Li, Zhi, Luo, Zhu-Xi
Symmetry is a powerful tool for understanding phases of matter in equilibrium. Quantum circuits with measurements have recently emerged as a platform for novel states of matter intrinsically out of equilibrium. Can symmetry be used as an organizing p
Externí odkaz:
http://arxiv.org/abs/2312.17309
Spectral statistics such as the level spacing statistics and spectral form factor (SFF) are widely expected to accurately identify ``ergodicity'', including the presence of underlying macroscopic symmetries, in generic quantum systems ranging from qu
Externí odkaz:
http://arxiv.org/abs/2312.14067
Autor:
Witkowski, Edmund, Whiteson, Daniel
Recognizing symmetries in data allows for significant boosts in neural network training. In many cases, however, the underlying symmetry is present only in an idealized dataset, and is broken in the training data, due to effects such as arbitrary and
Externí odkaz:
http://arxiv.org/abs/2311.05952
Autor:
Steve Redwood
Twenty-seven unique stories that stretch the meaning of'eclectic', bound together in one forbidden tome for the first time. Covering most genres, and moving from grim, cruel, and tragic: broken women living on shelves in a library, a Greek goddess an