Results 51 to 60 of about 126,873 (298)
Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 Vector quantization (VQ) techniques are widely used in similarity search for data compression, computation acceleration and etc. Originally designed for Euclidean distance, existing VQ techniques (e.g., PQ, AQ) explicitly or implicitly minimize the quantization error.
Dai, Xinyan +4 more
openaire +3 more sources
Imaging of Biphoton States: Fundamentals and Applications
Advanced Functional Materials, EarlyView.Quantum states of two photons exhibit a rich polarization and spatial structure, which provides a fundamental resource of strongly correlated and entangled states. This review analyzes the physics of these intriguing properties and explores the various techniques and technologies available to measure them, including the state of the art of their ...
Alessio D'Errico, Ebrahim Karimi
wiley +1 more source
Weak associativity and deformation quantization
Nuclear Physics B, 2016 Non-commutativity and non-associativity are quite natural in string theory. For open strings it appears due to the presence of non-vanishing background two-form in the world volume of Dirichlet brane, while in closed string theory the flux ...
V.G. Kupriyanov
doaj +1 more source
2D Magnetic and Topological Quantum Materials and Devices for Ultralow Power Spintronics
Advanced Functional Materials, EarlyView.2D magnets and topological quantum materials enable ultralow‐power spintronics by combining robust magnetic order with symmetry‐protected, Berry‐curvature‐driven transport. Fundamentals of 2D anisotropy and spin‐orbit‐coupling induced band inversion are linked to scalable growth and vdW stacking.
Brahmdutta Dixit +5 more
wiley +1 more source
WAPS-Quant: Low-Bit Post-Training Quantization Using Weight-Activation Product Scaling
IEEE AccessPost-Training Quantization (PTQ) has been effectively compressing neural networks into very few bits using a limited calibration dataset. Various quantization methods utilizing second-order error have been proposed and demonstrated good performance ...
Geunjae Choi, Kamin Lee, Nojun Kwak
doaj +1 more source
Canonical quantization of a string describing N branes at angles
Nuclear Physics B, 2014 We study the canonical quantization of a bosonic string in presence of N twist fields. This generalizes the quantization of the twisted string in two ways: the in and out states are not necessarily twisted and the number of twist fields N can be bigger ...
Igor Pesando
doaj +1 more source
Matrix Representations of Holomorphic Curves on $T_{4}$
, 1998 We construct a matrix representation of compact membranes analytically embedded in complex tori. Brane configurations give rise, via Bergman quantization, to U(N) gauge fields on the dual torus, with almost-anti-self-dual field strength.
Cornalba, L.
core +2 more sources
Spin and Charge Control of Topological End States in Chiral Graphene Nanoribbons on a 2D Ferromagnet
Advanced Materials, EarlyView.Chiral graphene nanoribbons on a ferromagnetic gadolinium‐gold surface alloy display tunable spin and charge states at their termini. Atomic work function variations and exchange fields enabe transitions between singlet, doublet, and triplet configurations.
Leonard Edens +8 more
wiley +1 more source
Gravitational edge modes, coadjoint orbits, and hydrodynamics
Journal of High Energy Physics, 2021 The phase space of general relativity in a finite subregion is characterized by edge modes localized at the codimension-2 boundary, transforming under an infinite-dimensional group of symmetries.
William Donnelly +3 more
doaj +1 more source
Some recent developments in quantization of fractal measures
, 2015 We give an overview on the quantization problem for fractal measures, including some related results and methods which have been developed in the last decades.
A. Gersho +34 more
core +1 more source