Results 81 to 90 of about 3,905,200 (321)
Hybrid Quantum Neural Network Image Anti-Noise Classification Model Combined with Error Mitigation
In this study, we present an innovative approach to quantum image classification, specifically designed to mitigate the impact of noise interference.
Naihua Ji +4 more
doaj +1 more source
On the problem of classifying simple compact quantum groups [PDF]
We review the notion of simple compact quantum groups and examples, and discuss the problem of construction and classification of simple compact quantum groups.
Wang, Shuzhou
core
A spin group (SG)‐based mechanism is proposed to realize a single pair of Weyl points. PT‐symmetric nodal lines (NLs) persist under T‐breaking, protected by the combination of SG and P symmetry. When considering spin‐orbit coupling, the SG‐protected NL will split into Weyl points, which will also induce anomalous transport phenomena arising from ...
Shifeng Qian +6 more
wiley +1 more source
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida +16 more
wiley +1 more source
It is shown that the proton-neutron interacting boson model (pnIBM) admits new symmetry limits with O(12) algebra which break F-spin but preserves the quantum number M_F. The generators of O(12) are derived and the quantum number `v' of O(12) for a given
A Frank +44 more
core +1 more source
Conclusive quantum state classification
4 pages, no ...
Wang, Mei-Yu, Yan, Feng-Li
openaire +2 more sources
On the classification of quantum Poincaré groups [PDF]
31 pages, LaTeX file, minor changes in Remarks 1.7 ...
Podleś, P., Woronowicz, S. L.
openaire +4 more sources
Benchmarking Quantum Machine Learning Kernel Training for Classification Tasks [PDF]
Quantum-enhanced machine learning is a rapidly evolving field that aims to leverage the unique properties of quantum mechanics to enhance classical machine learning.
D. Álvarez-Estévez
semanticscholar +1 more source
By a simple anti‐Galvanic reaction, up to six copper atoms could be preferably doped into the Ag2(SR)5 staple motifs and Ag20 dodecahedral shell of an atomically precise Ag44(SR)30 nanocluster. When anatase TiO2 is used as substrate, the (AgCu)44/TiO2 photocatalyst exhibited much improved activity in photocatalytic CO2 reduction compared to Ag44/TiO2 ...
Ye Liu +5 more
wiley +1 more source
Algebras of functions on quantum weighted projective spaces are introduced, and the structure of quantum weighted projective lines or quantum teardrops are described in detail.
A. Connes +19 more
core +1 more source

