Results 191 to 200 of about 267,415 (280)
Exploring Representation Theory of Unitary Groups via Linear Optical Passive Devices [PDF]
Paolo Aniello, Cosmo Lupo, M. Napolitano
openalex +1 more source
2‐Adic Quantum Mechanics, Continuous‐Time Quantum Walks, and the Space Discreteness
Abstract The authors show that a large class of 2‐adic Schrödinger equations is the scaling limit of certain continuous‐time quantum Markov chains (CTQMCs). Practically, a discretization of such an equation gives a CTQMC. As a practical result, new types of continuous‐time quantum walks (CTQWs) on graphs using two symmetric matrices are constructed ...
W. A. Zúñiga‐Galindo
wiley +1 more source
Modeling the Optical Efficiency of AlGaN/GaN Light Emission Diodes with 2D Carrier Localization
A theoretical model is presented to describe the wavelength dependence of the optical efficiency of AlxGa1‐xN/AlN quantum wells and quantum dots emitting deep ultraviolet light between 210 and 310 nm. The model includes hole state symmetry changes, built‐in strain, quantum confinement, and electron–hole localization due to alloy disorder, treated as a ...
Alexandra Ibanez+4 more
wiley +1 more source
Magnetic Hopfions as Local Rotations of the Uniform Magnetization Background
The Hopf mapping of 3D coordinate space to the unit sphere m2 = 1 in the magnetization space m(r) can be parametrized by some angles. These angles are used to define a local rotation matrix to restore the hopfion magnetization configuration from the uniformly magnetized state for any Hopf indices.
Konstantin Y. Guslienko
wiley +1 more source
We study the impact of observation‐error correlations in data assimilation using both a simple idealised system and a more realistic configuration. A spectral analysis of data assimilation in the idealised system allows us to gain insights on the effect of observation‐error correlations, which are then validated using the realistic configuration.
Olivier Goux+4 more
wiley +1 more source
Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning
The use of QML in the realm of nuclear physics at low energy is almost nonexistent. Three examples of the use of quantum computing and quantum machine in nuclear physics are presented: the determination of the phase/shape in nuclear models, the calculation of the ground state energy, and the identification of particles in nuclear physics experiments ...
José‐Enrique García‐Ramos+4 more
wiley +1 more source
Visual, haptic and bimodal scene perception: Evidence for a unitary representation [PDF]
Helene Intraub+2 more
openalex +1 more source
Unitary evolution and uniqueness of the Fock representation of Dirac fields in cosmological spacetimes [PDF]
Jerónimo Cortez+4 more
openalex +1 more source
Machine Learning for Maximizing the Memristivity of Single and Coupled Quantum Memristors
Machine learning (ML) methods are proposed to characterize the memristive properties of single and coupled quantum memristors. It is shown that maximizing the memristivity leads to large values in the degree of entanglement of two quantum memristors, unveiling the close relationship between quantum correlations and memory.
Carlos Hernani‐Morales+5 more
wiley +1 more source