Euclidean time windows in the integral representation of the hadronic vacuum polarization contribution to the muon $g-2$ serve to test the consistency of lattice calculations and may help in tracing the origins of a potential tension between lattice and data-driven evaluations.
High Energy Physics - Lattice High Energy Physics - Phenomenology
Here, we demonstrate flow-driven rotary motion of a self-organized DNA nanostructure that is docked onto a nanopore in a thin solid-state membrane.
Biological Physics Soft Condensed Matter
The recent curation of large-scale catalyst datasets has offered the opportunity to build a universal machine learning potential, spanning chemical and composition space.
Chemical Physics Materials Science
Recent developments have shown the existence of quantum low-density parity check (qLDPC) codes with constant rate and linear distance.
Quantum Physics Information Theory Information Theory
The development of new superconducting circuits and the improvement of existing ones rely on the accurate modeling of spectral properties which are key to achieving the needed advances in qubit performance.
We develop a method combining machine learning (ML) and density functional theory (DFT) to predict low-energy polymorphs by introducing physics-guided descriptors based on structural distortion modes.
Materials Science Computational Physics
Through the years the crypto-movement changed and evolved, although decentralisation remained the core ideology and the necessary feature every new crypto-project should provide.
Physics and Society Cryptography and Security General Economics Economics
Quantum information carriers, just like most physical systems, naturally occupy high-dimensional Hilbert spaces.