Results 11 to 20 of about 25,642 (150)
We associate to the action of a compact Lie group G on a line bundle over a compact oriented even-dimensional manifold a virtual representation of G using a twisted version of the signature operator. We obtain analogues of various theorems in the more standard theory of geometric quantization.
Guillemin, Victor +2 more
openaire +5 more sources
v2 matches the version accepted for publication on Phys. Rev. D. It includes additional clarifications and references. v3 includes some missing terms in a couple of equations.
Giulia Gubitosi +3 more
openaire +5 more sources
Weyl Quantization from geometric quantization [PDF]
A. Weinstein has conjectured a nice looking formula for a deformed product of functions on a hermitian symmetric space of non-compact type. We derive such a formula for symmetric symplectic spaces using ideas from geometric quantization and prequantization of symplectic groupoids.
P. de M. Rios +5 more
openaire +2 more sources
Quantization Dimension via Quantization Numbers
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kesseböhmer, Marc, Zhu, Sanguo
openaire +2 more sources
A dislocation, just like a phonon, is a type of atomic lattice displacement but subject to an extra topological constraint. However, unlike the phonon which has been quantized for decades, the dislocation has long remained classical. This article is a comprehensive review of the recent progress on quantized dislocations, aka the "dislon" theory.
openaire +4 more sources
We present a superfield formulation of the quantization program for theories with first class constraints. An exact operator formulation is given, and we show how to set up a phase-space path integral entirely in terms of superfields. BRST transformations and canonical transformations enter on equal footing, and they allow us to establish a superspace ...
Batalin, I.A. +2 more
openaire +3 more sources
20 pages, LaTex file, Substantially revised ...
openaire +3 more sources
Zariski quantization as second quantization [PDF]
18 pages, 2 ...
openaire +2 more sources
Robust 2-bit Quantization of Weights in Neural Network Modeled by Laplacian Distribution
Significant efforts are constantly involved in finding manners to decrease the number of bits required for quantization of neural network parameters. Although in addition to compression, in neural networks, the application of quantizer models that are ...
PERIC, Z. +3 more
doaj +1 more source
Distortion Minimization Hashing
Application of the hashing method to large-scale image retrieval has drawn much attention because of the high efficiency and favorable accuracy of the method.
Tongtong Yuan, Weihong Deng, Jiani Hu
doaj +1 more source

