In evolutionary theory, Fisher’s fundamental theorem of natural selection establishes a simple relation between the variance of the growth rate and the temporal increase in the average growth rate. Here, the authors extend the theorem based on statistical physics and information theory and show that the speed in dynamical systems describing nonlinear population dynamics is bounded by Fisher information with universal limit exponents only depending on the kind of bifurcation and not on the specific systems.

With the continuous development of metropolitan broadband and network, the need of secure and faster transmission also increases. The authors demonstrate a single-carrier four-state continuous-variable quantum key distribution (CVQKD) with sub-Gbps key rate within metropolitan area and secure transmissions up to 25 km

Direct observation of light-induced topological Floquet states can be challenging due to a number of obstacles such as laser-assisted photoemission which can complicate photoemission spectra. Here, the authors report a theoretical approach to the identification of topological Floquet states using circular dichroism in angle resolved photoemission spectroscopy.

Discrete time crystals are a new state of matter emerging via spontaneous discrete translational symmetry breaking in time. The authors demonstrate that a dissipative discrete time crystal appears in an optical microcavity pumped by a phase-modulated continuous wave laser, offering a new route to study this exotic crystal phase.

The authors study an interesting phenomena of shape coexistence in ¹⁸⁶Pb. In an elegant and well-documented experiment, they confirm the coexistence of the three 0⁺ states in the ¹⁸⁶Pb nucleus and reassign the shapes associated with the excited 0⁺ states.

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.