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Advanced Quantum Technologies, Volume 8, Issue 12, December 2025.The hybrid approach to Quantum Supervised Machine Learning is compatible with Noisy Intermediate Scale Quantum (NISQ) devices but hardly useful. Pure quantum kernels requiring fault‐tolerant quantum computers are more promising. Examples are kernels computed by means of the Quantum Fourier Transform (QFT) and kernels defined via the calculation of ...
Massimiliano Incudini +2 more
wiley +1 more source
Rainbow connection numbers of some classes of s-overlapping r-uniform hypertrees with size t
AIMS MathematicsThe rainbow connection concept was developed to determine the minimum number of passwords required to exchange encrypted information between two agents. If the information exchange involves divisions managing more than two agents, the rainbow connection ...
Sitta Alief Farihati +2 more
doaj +1 more source
The Turán problem for hypergraphs of fixed size [PDF]
, 2005 We obtain a general bound on the Turán density of a hypergraph in terms of the number of edges that it contains. If F is an r-uniform hypergraph with f edges we show that [pi](F) =3 and f->[infinity]
Keevash, Peter
core
Colorful Subhypergraphs in Kneser Hypergraphs [PDF]
The Electronic Journal of Combinatorics, 2014 Using a $\mathbb{Z}_q$-generalization of a theorem of Ky Fan, we extend to Kneser hypergraphs a theorem of Simonyi and Tardos that ensures the existence of multicolored complete bipartite graphs in any proper coloring of a Kneser graph. It allows to derive a lower bound for the local chromatic number of Kneser hypergraphs (using a natural definition of
openaire +3 more sources
Quantum‐Enhanced Simulated Annealing Using Rydberg Atoms
Advanced Quantum Technologies, Volume 8, Issue 12, December 2025.This study experimentally demonstrates that a Rydberg hybrid quantum‐classical algorithm, termed as quantum‐enhanced simulated annealing (QESA), provides a computational time advantage over a classical standalone simulated annealing (SA). This scatter plot represents the comparison of QESA versus SA for the 924 graphs with the sizes N=60$N=60$, 80 and ...
Seokho Jeong, Juyoung Park, Jaewook Ahn
wiley +1 more source
A Prior Causality‐Guided Multi‐View Diffusion Network for Brain Disorder Classification
CAAI Transactions on Intelligence Technology, Volume 10, Issue 6, Page 1731-1744, December 2025.ABSTRACT Functional brain networks have been used to diagnose brain disorders such as autism spectrum disorder (ASD) and attention‐deficit/hyperactivity disorder (ADHD). However, existing methods not only fail to fully consider various levels of interaction information between brain regions, but also limit the transmission of information among ...
Xubin Wu +4 more
wiley +1 more source
Cross-modal Hypergraph Optimisation Learning for Multimodal Sentiment Analysis [PDF]
Jisuanji kexueSentiment expressions are multimodal,and more accurate emotions can be derived through multiple modalities such as verbal,audio,and visual.Studying the interactions among modalities can effectively improve the accuracy of multimodal sentiment analysis ...
JIANG Kun, ZHAO Zhengpeng, PU Yuanyuan, HUANG Jian, GU Jinjing, XU Dan
doaj +1 more source
A Paradigm of Temporal‐Weather‐Aware Transition Pattern for POI Recommendation
CAAI Transactions on Intelligence Technology, Volume 10, Issue 6, Page 1675-1687, December 2025.ABSTRACT Point of interest (POI) recommendation analyses user preferences through historical check‐in data. However, existing POI recommendation methods often overlook the influence of weather information and face the challenge of sparse historical data for individual users.
Junyang Chen +6 more
wiley +1 more source
Chain method for panchromatic colorings of hypergraphs [PDF]
, 2020 Margarita Akhmejanova, József Balogh
openalex +1 more source
Multi‐View Seizure Classification Based on Attention‐Based Adaptive Graph ProbSparse Hybrid Network
CAAI Transactions on Intelligence Technology, Volume 10, Issue 6, Page 1783-1798, December 2025.ABSTRACT Epilepsy is a neurological disorder characterised by recurrent seizures due to abnormal neuronal discharges. Seizure detection via EEG signals has progressed, but two main challenges are still encountered. First, EEG data can be distorted by physiological factors and external variables, resulting in noisy brain networks.
Changxu Dong, Yanqing Liu, Dengdi Sun
wiley +1 more source