Results 41 to 50 of about 447,860 (319)

Variational tight-binding method for simulating large superconducting circuits

Physical Review Research, 2021
We generalize solid-state tight-binding techniques for the spectral analysis of large superconducting circuits. We find that tight-binding states can be better suited for approximating the low-energy excitations than charge basis states, as illustrated ...
D. K. Weiss, Wade DeGottardi, Jens Koch, D. G. Ferguson   +3 more
doaj   +1 more source

Seismic Wave Propagation Characteristics and Their Effects on the Dynamic Response of Layered Rock Sites

Applied Sciences, 2022
To investigate the seismic response of layered rock sites, a multidomain analysis method was proposed. Three finite element models with infinite element boundaries for layered sites were analysed.
Lihu Dong, Danqing Song, Guangwei Liu
doaj   +1 more source

Phase Operator Problem and Macroscopic Extension of Quantum Mechanics [PDF]

, 1997
To find the Hermitian phase operatorof a single-mode electromagnetic field in quantum mechanics, the Schroedinger representation is extended to a larger Hilbert space augmented by states with infinite excitation by nonstandard analysis.
Abe, Albeverio, Barnett, Barnett, Bergou, Blanchard, Bratteli, Carruthers, Davies, Dirac, Farrukh, Fenstad, Fittler, Fittler, Francis, Glauber, Hall, Helstrom, Helstrom, Holevo, Hurd, Kambe, Kelemen, Kelemen, Masanao Ozawa, Moore, Nakamura, Ozawa, Ozawa, Ozawa, Pegg, Pegg, Robinson, Shapiro, Susskind, Takeuti, Tarski, Thurber, von Neumann   +38 more
core   +1 more source

A theorem on the absence of phase transitions in one-dimensional growth models with onsite periodic potentials [PDF]

, 2001
We rigorously prove that a wide class of one-dimensional growth models with onsite periodic potential, such as the discrete sine-Gordon model, have no phase transition at any temperature $T>0$.
Angel Sánchez, Cuesta J A, Cuesta J A, Dauxois T, de Bruijn N G, Horn R A, José A Cuesta, Kato T, Kittel C, Lieb E H, Meyer-Nieberg P, Nagle J F, Ruelle D, Tsuzuki T, van Hove L, Weeks J D, Yeomans J M, Young N   +17 more
core   +3 more sources

Why is Landau-Ginzburg link cohomology equivalent to Khovanov homology?

Journal of High Energy Physics, 2019
In this note we make an attempt to compare a cohomological theory of Hilbert spaces of ground states in the N = 2 2 $$ \mathcal{N}=\left(2,2\right) $$ 2d Landau-Ginzburg theory in models describing link embeddings in ℝ3 to Khovanov and Khovanov-Rozansky ...
Dmitry Galakhov
doaj   +1 more source

A General Approach to Dropout in Quantum Neural Networks

Advanced Quantum Technologies, EarlyView., 2023
Randomly dropping artificial neurons and all their connections in the training phase reduces overfitting issues in classical neural networks, thus improving performances on previously unseen data. The authors introduce different dropout strategies applied to quantum neural networks, learning models based on parametrized quantum circuits.
Francesco Scala, Andrea Ceschini, Massimo Panella, Dario Gerace   +3 more
wiley   +1 more source

In Situ/Operando Probing of Dynamic Phase Structures of Alumina‐Supported Ultrasmall Copper‐Gold Alloy Nanoparticles Under Reaction Conditions

Angewandte Chemie, EarlyView.
Supported ultrasmall copper‐gold alloy nanoparticles are active heterogenous catalysts. In situ TEM tracking under oxygen at different temperatures reveals atomic‐scale dynamic phase structures, whereas combined operando synchrotron HE‐XRD and DRIFTS characterizations uncover ensemble‐averaged ordering/disordering phase structures and oscillatory ...
Han‐Wen Cheng, Jing Li, Shiyao Shan, Xiaowei Lv, Guanyu Chen, Merry Madiou, Dong Dinh, Seyed Danial Mousavi, Zhi‐Peng Wu, Shan Wang, Yazan Maswadeh, Valeri Petkov, Susan Lu, Ke Pei, Wenbin You, Renchao Che, Chuan‐Jian Zhong   +16 more
wiley   +2 more sources

Nonlinear analysis of the electroencephalogram in depth of anesthesia

Revista Facultad de Ingeniería Universidad de Antioquia, 2015
Digital signal processing of the electroencephalogram (EEG) became important in monitoring depth of anesthesia (DoA) being used to provide a better anesthetic technique.
Oscar Leonardo Mosquera-Dusan, Daniel Alfonso Botero-Rosas, Mauricio Cagy, Ruben Dario Henao-Idarraga   +3 more
doaj   +1 more source

Benefits of Open Quantum Systems for Quantum Machine Learning

Advanced Quantum Technologies, EarlyView., 2023
Quantum machine learning (QML), poised to transform data processing, faces challenges from environmental noise and dissipation. While traditional efforts seek to combat these hindrances, this perspective proposes harnessing them for potential advantages. Surprisingly, under certain conditions, noise and dissipation can benefit QML.
María Laura Olivera‐Atencio, Lucas Lamata, Jesús Casado‐Pascual   +2 more
wiley   +1 more source

The elliptic sinh-Gordon equation in a semi-strip

Advances in Nonlinear Analysis, 2017
We study the elliptic sinh-Gordon equation posed in a semi-strip by applying the so-called Fokas method, a generalization of the inverse scattering transform for boundary value problems.
Hwang Guenbo
doaj   +1 more source