Results 51 to 60 of about 4,613 (185)
Este trabajo aborda el control robusto de la actitud de un UAV de tipo multirrotor. Como principal novedad destaca el empleo de una estructura de control model-matching en cascada que, junto a los dos controladores de realimentación del ángulo de ...
Javier Rico-Azagra +2 more
doaj +1 more source
Intestinal tuberculosis (ITB) remains prevalent in Asia. An interferon-γ assay (QuantiFERON-TB gold test [QFT]) is considered to be an effective supplementary tool for diagnosing ITB.
Hye Won Lee +9 more
doaj +1 more source
On the Meaning of Localization in Non‐Local Quantum Field Theory
In non‐local quantum field theory nature does not necessarily allow objects or events to be localized to exact mathematical points. Instead any physical measurement has a built‐in finite resolution set by the non‐locality scale. Spacetime remains continuous and Lorentz‐covariant, but below this scale pointlike localization becomes an idealization ...
E. J. Thompson
wiley +1 more source
Work Versus Force: Simultaneous Processes for Describing Interactions
ABSTRACT Achieving a unified description of interactions remains an open challenge in theoretical physics, which currently describes four fundamental forces. This situation may be viewed differently when interactions are formulated in terms of processes (work as actio) rather than forces (force as actio), not only at the macroscopic level but also at ...
Grit Kalies +2 more
wiley +1 more source
Renormalization group in abstract QFT [PDF]
7 pages ...
Mironov, A., Morozov, A.
openaire +2 more sources
Bootstrapping the a-anomaly in 4d QFTs
Abstract We study gapped 4d quantum field theories (QFTs) obtained from a relevant deformation of a UV conformal field theory (CFT). For simplicity, we assume the existence of a ℤ2 symmetry and a single ℤ2-odd stable particle and no ℤ2-even particles at low energies.
Karateev, Denis +3 more
openaire +7 more sources
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
New boundary monodromy matrices for classical sigma models
The 2d principal models without boundaries have G×G symmetry. The already known integrable boundaries have either H×H or GD symmetries, where H is such a subgroup of G for which G/H is a symmetric space while GD is the diagonal subgroup of G×G.
Tamás Gombor
doaj +1 more source
Reducing CNOT count in quantum Fourier transform for the linear nearest-neighbor architecture
Physical limitations of quantum hardware often necessitate nearest-neighbor (NN) architecture. When synthesizing quantum circuits using the basic gate library, which consists of CNOT and single-qubit gates, CNOT gates are required to convert a quantum ...
Byeongyong Park, Doyeol Ahn
doaj +1 more source
A Structure‐Based Benchmarking Suite for Quantum Learning
ABSTRACT The application of quantum computing to Data Processing has naturally extended into the realm of quantum machine learning. However, while numerous benchmarks exist for evaluating quantum hardware, there remains a scarcity of tailored benchmarks that assess the intrinsic performance of learning models.
Duwon Lee, Byung‐Soo Choi
wiley +1 more source

