Results 81 to 90 of about 1,666 (170)
Modularity‐Preserving Hamiltonian Compression for QAOA‐Based Community Detection
Advanced Quantum Technologies, Volume 9, Issue 6, June 2026.This work explores several quantum methods to community detection in networks by simplifying modularity‐based Hamiltonians. By reducing circuit complexity through sparsification, spectral projection, and penalty techniques, the methods retain key structural information while improving efficiency.
Danilo Cavaliere +2 more
wiley +1 more source
A Resource Efficient Ising Model‐Based Quantum Sudoku Solver
Software: Practice and Experience, Volume 56, Issue 6, Page 643-657, June 2026.ABSTRACT Background Quantum algorithms exploit superposition and parallelism to address complex combinatorial problems, many of which fall into the non‐polynomial (NP) class. Sudoku, a widely known logic‐based puzzle, is proven to be NP‐complete and thus presents a suitable testbed for exploring quantum optimization approaches.
Wen‐Li Wang +5 more
wiley +1 more source
Missing comparability: When genomic selection faces field variability. A case study in soybeans
The Plant Genome, Volume 19, Issue 2, June 2026.Abstract The processing of phenotypic information prior to training genomic selection (GS) models is a key factor that is frequently overlooked. Several approaches have been proposed to isolate the genetic signal from the field variability. However, in most cases, the estimated genetic signal still carries the field variability print.
Edmundo Caballero +2 more
wiley +1 more source
대규모 사물 통신을 위한 압축센싱 기반 다중 사용자 검출 [PDF]
, 2019 학위논문 (박사)-- 서울대학교 대학원 : 공과대학 전기·컴퓨터공학부, 2019. 2. 이광복.Massive machine-type communication (mMTC) is a newly introduced service category in 5G wireless communication systems to support a variety of Internet-of-Things (IoT) applications. In the mMTC network,
안진엽
core
Water Resources Research, Volume 62, Issue 6, June 2026.Abstract Generative adversarial networks (GANs) have proven effective in simulating complex reservoir environments, such as meandering channels and deltas. In classic GANs, the dimensionality of training data determines that of generated data: a 2D (or 3D) reservoir facies simulator (generator) requires training with corresponding 2D (or 3D) data sets.
Xun Hu +4 more
wiley +1 more source
Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 6, June 2026.Abstract Alkalinity is a key regulator of carbon dioxide (CO2 ${\text{CO}}_{2}$) dynamics in freshwater systems, influencing both dissolved inorganic carbon speciation and the buffering capacity of water. Despite its importance, alkalinity in freshwater environments remains comparatively underexplored relative to ocean systems.
Francesco Presotto +4 more
wiley +1 more source
How Regulation and Global Standing Shape Stock Market Co‐Movements: A G20 Panel Study
International Review of Finance, Volume 26, Issue 2, June 2026.ABSTRACT Motivated by post‐2020 fragmentation and underexplored institutional‐geopolitical drivers, we examine how regulatory quality (RQ) and global power (GP) shape stock‐market co‐movements across 17 G20 economies. We estimate time‐varying correlations via ADCC‐GARCH, construct a scaled correlation index, and apply panel ARDL. We find that higher RQ
Sama Haddad +4 more
wiley +1 more source
Innovation, Licensing, and Competition: Evidence From Genetically Engineered Crops
The Journal of Industrial Economics, Volume 74, Issue 2, Page 161-180, June 2026.ABSTRACT We provide a novel empirical analysis of the role of technology licensing, between competitors, for genetically engineered (GE) traits in the US seed industry. We extend the standard differentiated‐product Bertrand pricing model to include trait licensing, which permits us to recover marginal costs and (otherwise unobserved) royalty rates ...
GianCarlo Moschini, Edward D. Perry
wiley +1 more source
Shallow Quantum Scalar Products with Phase Information
The measurement of scalar products between two vectors is a common task in scientific computing and, by extension, in quantum computing. In this work, we introduce two alternative quantum circuits for computing scalar products with phase information ...
Tazi, Lila Cadi +2 more
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Transactions in GIS, Volume 30, Issue 4, June 2026.ABSTRACT Wildfire susceptibility mapping (WSM) is critical for forest management, land‐use planning, and disaster risk mitigation. Although hybrid artificial neural network (ANN) models optimized by metaheuristic algorithms are increasingly used in susceptibility mapping, they are often evaluated without strong machine learning benchmarks, spatially ...
Talha Taşkanat
wiley +1 more source