Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
Fourier domain mode-locked lasers provide coherent, wavelength swept light useful for imaging applications, but the phase relation between frequencies is not understood. Here, experimental and numerical data is presented that suggests a fixed phase relation and comb-like structure of the sweep.
Synchronization dynamics in the presence of higher order interactions is well represented through variations of the Kuramoto model and subject of current interest. Here, the authors study and characterize the behavior of the simplicial Kuramoto model with weights on any simplices and in the presence of linear and nonlinear frustration, defined as the simplicial Sakaguchi-Kuramoto model.
Sensing schemes based on exceptional point degeneracies in the resonant spectrum of non-Hermitian systems have been recently criticized for being susceptible to various sources of noise and structural imperfections. Here, the authors study non-resonant exceptional point degeneracies in the spectrum of transfer matrices of periodic structures, based on which passive sensors with enhanced noise resilience are then proposed.
A deeper understanding of the coupling at the interface of multiferroics heterostructures is being achieved by the use of synchrotron radiation techniques. Here, the authors use k-resolved soft X-ray photoemission spectroscopy and first principles calculations to investigate the band structure of several multiferroic heterostructures, isolating the distinct signature of the interface.
Lasers in general are operated using a cavity resonant with emitters. In this study, the authors demonstrated a laser operating under an anti-resonant condition, where the emitter resonance is equally detuned from two Fabry–Perot fringes. This configuration may pave the way for reducing the laser linewidth and cavity pulling effect.
Nonlinear dynamical systems are ubiquitous in nature and play an essential role in science, from providing models for the weather forecast to describing the chaotic behavior of plasma in nuclear reactors. This paper introduces an artificial intelligence framework that can learn the correct equations of motion for nonlinear systems from incomplete data, and opens up the door to applying interpretable machine learning techniques on a wide range of applications in the field of nonlinear dynamics.
In quantum isolated system, operator growth can be quantified by Krylov complexity. Here, the authors establish a rigorous bound on the Krylov complexity growth rate based on the uncertainty principle and show that the presence of quantum chaos is not strictly necessary to saturation of the bound.
Chimera states provide an intriguing physical platform to explore synchronization effects in neural networks and brain activity. Here, a recurrent neural network with embedded Chimera states is demonstrated, suggesting the generality and robustness of such states.
Topological nodal line semimetals are characterised by band crossings along a line, or closed loop inside, of the Brillouin zone and belong to a larger family of topological semimetals. Here, using time-resolved angle resolved photoemission spectroscopy, the authors investigate the ultrafast relaxation dynamics in the bulk nodal line state of one such material, ZrSiS, elucidating the role of optical and acoustic phonon cooling.
Resonances are ubiquitous in physics and hold important functionalities in engineering wave propagation and interference effects. This work proposes an approach for computing sensitivities, i.e., partial derivatives, of complex eigenfrequencies in any resonance problem, which here is applied to efficiently optimize nanophotonic resonators and to obtain an improved quality factor.
The Hofstadter–Hubbard model on 2D square lattices is a paradigmatic model to study the interplay of electron correlations and external magnetic field. The authors use quantum Monte Carlo to study the thermodynamic properties of the Hofstadter Hamiltonian at intermediate to strong coupling, finding that a strong orbital magnetic field delocalizes electrons and reduces the effective Hubbard interaction.
Quantum phase transitions, occurring at zero temperature for a given system, can be induced by the application of physical or chemical pressure, and can help elucidate the underlying mechanisms of unconventional superconductivity. Here, using Raman spectroscopy, the authors report scaling properties indicative of a marginal Fermi liquid for an Fe-based superconductor tuned through a quantum critical point by chemical substitution.
The variational quantum eigensolver is a quantum-classical algorithm used to solve optimisation problems in machine learning but demonstrates limitations when applied to simulations of large molecules. Here, the authors explore the use of adaptive variational algorithms and demonstrate how they can be used to improve performance when simulating molecules participating in carbon monoxide processes.
Flat bands are dispersionless electronic structures with increased electron–electron correlations and can coexist with the non-trivial topological features of a Kagome lattice. Here, the authors theoretically explore the interplay between band topology and electronic correlations in a multiorbital model on a Kagome lattice demonstrating that fractional filling can give rise to fractional Chern insulating states.
Optical rogue waves are the optical counterpart of sudden and dramatic oceanic wave formations the underlying physics of which are thought to be connected with solitons. Here, the authors report the observation of a 2D spatial twin spotlight beam in anisotropic crystals with quadratic nonlinearity, that spontaneously appears and disappears as a function of laser beam in intensity.
Adding to the significant interest in quantum computing schemes, this work focuses on classical analogs for which entanglement is not required. Specifically, this work demonstrates through micromagnetic numerical simulations the use of wavevector-selective parametric pumping to controllably initialize and manipulate a room-temperature two-component magnon condensate on the Bloch sphere and reveals the possibility of Rabi-like oscillations in the wavevector domain.
Engineering the mechanical response of metamaterials allows control of mechanical modes, with potential application to vibrational isolation. Here, a general framework for achieving a complete band-gap by combining orthogonal flexural and longitudinal-torsional band-gaps is demonstrated analytically and experimentally.
The spin Hall effect is a transport phenomenon with significant importance for spintronics since it can be used to design ways of generating and detecting spin currents. Here, the authors investigate the intrinsic spin Hall effect induced by an inhomogeneous electric field and show that it can be engineered by tuning the Fermi energy in both Rashba and Dresselhaus systems.
The move to the quantum internet demands developments in communication networks that are based on quantum entanglement. The authors discuss the phenomenon of entanglement percolation in a quantum network presenting solutions to significantly accelerate the intensive computation effort involved in the process.
The reduced dimensions of 2D magnets expose their magnetic anisotropy, adding a twist into the system provides another degree of freedom to explore. Here, the authors use stochastic Landau–Lifshitz-Gilbert simulations to investigate ground-state topological spin textures induced by interlayer fields in twisted bilayer CrI3.