Results 21 to 30 of about 769 (173)
Comment on ‘Wigner function for a particle in an infinite lattice’
It is pointed out that in a recent paper (2012 New J. Phys. 14 103009) in which a Wigner function for a particle in an infinite lattice (a system described by an unbounded discrete coordinate and its conjugate angle-like momentum) has been introduced, no
João P S Bizarro
doaj +1 more source
Linear redundancy of information carried by the discrete Wigner distribution [PDF]
The discrete Wigner distribution (WD) encodes information in a redundant fashion since it derives N by N representations from N-sample signals. The increased amount of data often prohibits its effective use in applications such as signal detection, parameter estimation, and pattern recognition.
openaire +3 more sources
Ultrafast broadband transient absorption spectroscopy and multireference excited‐state nonadiabatic calculations in an open‐shell Fe(III) complex unveil the rich electronic and vibrational dynamics detailing the key reactive modes driving the spin‐crossover process.
Soumyajit Mitra +8 more
wiley +2 more sources
Discrete Wigner distribution for two qubits: a characterization of entanglement properties [PDF]
We study the properties of the discrete Wigner distribution for two qubits introduced by Wotters. In particular, we analyze the entanglement properties within the Wigner distribution picture by considering the negativity of the Wigner function (WF) and the correlations of the marginal distribution.
Franco R., PENNA, Vittorio
openaire +2 more sources
Long‐Range Interactions in Topological Superconducting Systems: A Mini Review
Long‐range interacting quantum systems are surveyed in this review, with an emphasis on the long‐range topological superconductor and its variants. Long‐range interactions decaying in a power‐law manner can lead to exotic phenomena that finds no analogue in short‐range regimes.
Juntong Ren, Haifeng Lü
wiley +1 more source
Nordgren PINNs to VQE: Advancing Hydraulic Fracturing Simulations in Shale Reservoirs
ABSTRACT This study advances hydraulic fracturing simulations in shale reservoirs using two computational paradigms, Physics‐Informed Neural Networks (PINNs) and the Variational Quantum Eigensolver (VQE). PINNs were employed to solve Nordgren's equation, which governs fracture width evolution, by embedding physical laws into the neural network ...
Dennis Delali Kwesi Wayo +7 more
wiley +1 more source
Visualizing Metal Nanoparticle Electrochemical Dissolution Atom by Atom
The early stages of the electrochemical dissolution of gold nanoparticles (NPs) on electron beam transparent carbon‐based supports are investigated using identical location scanning transmission electron microscopy at atom resolution. Numbers of atoms lost (and gained), along with morphology changes are tracked for the same NP within an ensemble, over ...
Pei Zhao +3 more
wiley +1 more source
Unlocking n‐alk‐1‐ynes conformers: Quantum “trigger finger” versus “stiff joint” conformations
Quantum chemical analysis reveals the unique function of n‐alk‐1‐yne terminus as a Quantum “Trigger Finger,” exhibiting two near‐isoenergetic conformers (Cs ${\mathrm{C}}_{s}$and C1 ${\mathrm{C}}_{1}$) locked by a symmetric high barrier. This contrasts with the lower asymmetric barrier of the conventional asymmetric “Stiff Joint” alkyl chain.
Ioan Bâldea
wiley +1 more source
Evolution and Conceptual Insights into the Geometric Phase of Light: A Comprehensive Review
This review presents a unified account of the geometric phase of light, linking its fundamental principles to diverse manifestations in polarization, spatial, and vector modes. By connecting theoretical frameworks with key experimental realizations, it reveals a coherent physical picture that deepens understanding and stimulates new directions in ...
A. Srinivasa Rao
wiley +1 more source
Covariance Estimation for Wide Data
Covariance matrix estimation is fundamental to multivariate analysis, with applications spanning finance, genomics, climate science, and signal processing. This review synthesizes recent advances in high‐dimensional covariance estimation‐thresholding, linear and nonlinear shrinkage, graphical models, and random matrix theory‐under a unifying framework ...
Eran Raviv
wiley +1 more source

