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Attosecond transient absorption spectroscopy (ATAS) is a powerful scheme for monitoring the vibronic coherences that enables real-time observation of electronic motion, but the role of molecular rotation is usually neglected. The authors propose a theory fully accounting for molecular rotation in ATAS, closing the gap between theory and ATAS experiments.
While numerical simulations for metalenses frequently show efficiencies above 90% at low numerical apertures, the experimental counterpart struggles to reach such efficiencies. The authors modify the model for prediction and systematically realise a set of high-precision meta-lenses with high efficiencies across the whole numerical aperture range.
Quantum networks require a synergistic integration of terrestrial infrastructure employing optical fibers and wireless free-space communication technologies. In their study, the authors numerically investigate a satellite-based entanglement distribution and quantum teleportation across diverse freespace communication channels, such as diffraction or turbulence, finding that entanglement preservation endures throughout the downlink (satellite-to-ground) propagation for over 1000 km.
Interacting electrons can collectively act as a viscous flow resembling a classical fluid, a phenomenon termed electron hydrodynamics. Here, the authors develop a framework to describe electron flow in narrow channels, demonstrating that the requirements for achieving electron hydrodynamic transport can be extended beyond what is currently considered possible.
To celebrate our 5 year anniversary we present a collection of some of our favourite articles selected by editors and Editorial Board Members. Also, don't forget to cast your vote for our top feature image!
Kohei Nakajima is an Associate Professor in the Graduate School of Information Science and Technology at the University of Tokyo. His research interests include nonlinear dynamical systems, information theory, reservoir computing, physical reservoir computing, and soft robotics.
In April we have had the pleasure of welcome Jasna Brujic and Roberto Di Candia to our editorial board. They bring sought after expertise in our expanding journal.
Communications Physics has a 2-year impact factor of 5.5 (2022), a mean decision times of 7 days to first editorial decision and 50 days to first post-review decision (2023).
Hyperfine interaction is the key term for utilizing individual nuclear spins in solids. This work introduces a method that yields high-accuracy hyperfine values for nuclear spins at arbitrary distances from addressable electron spins, such as the NV center in diamond.
Compact localized states constitute an auxiliary state representation for a flat-band lattice system with wave functions non-zero only in a finite portion of the lattice. Here, the authors show that in some flat-band systems, these states can be partially “hidden”; surprisingly, these ghost flat bands present an obstruction to be represented as maximally localized Wannier functions.
Optical resonators are essential tools for high precision metrology and applications where the spectral purity is highly demanded. Here, the authors demonstrate a monolithic resonator made of fused silica to support 18 Hz integrated laser linewidth in the ambient environment, and W-band microwave generation with low phase noise of -100 dBc/Hz at 10 kHz frequency offset.
This study reports on the simultaneous emergence of the impurity Kondo effect and incommensurate magnetic ordering in the layered material AgCrSe2 these usually mutually exclusive phenomena complement each other. The ability to enable Kondo effect in association with the antiferromagnetic order, provides a novel route to tune the competition between magnetic correlations and Kondo screening.
High-order structures are ubiquitous in numerous real-world networks and play a significant role in social contagion phenomena, the authors introduce a novel higher-order non-Markovian social contagion model, addressing limitations of traditional models. Through mean-field theory and simulations, the authors demonstrate that there is an equivalence between the higher-order non-Markovian and the higher-order Markovian social contagions and reveal the resilience enhancement conferred by non-Markovian recovery, shedding light on real-world contagion dynamics.
The paper addresses the task of extracting individual objects from multi-dimensional overlapping-sparse images, with valuable impact in high-energy physics (future high-precision long-baseline neutrino oscillation experiments). The developed tool will allow to reduce systematic errors and avoid model dependence, improving the neutrino energy resolution and sensitivity.
In this study, the authors propose a generic machine-learning-assisted framework to improve the overall performance of quantum sensing application. In the context of an atomic force sensor, this entirely data-driven approach, which involves generating the digital twinning of experimental data, demonstrates an order of magnitude improvement in sensitivity compared to conventional protocols.
Developing physical methods to modulate biomolecular condensates on cell membranes is of great importance for understanding physiological processes and stimulating novel therapeutic strategies. We propose an effective means to control receptor condensation on cell membranes via adhesion to a supported lipid bilayer with nanoscale topography.
This work examines imaginarity as a resource in quantum information theory. The authors extend the resource theory of imaginarity to distributed scenarios, discuss the operational meaning and its role in channel discrimination.
