JPS Hot Topics

Analysis of the two-component Ginzburg-Landau theory suggests that a conventional vortex is transformed into two fractional vortices with the topological nature of core-down and core-up merons at the twin boundary of a nematic superconductor.

This Journal of the Physical Society of Japan Special Topics edition explores how physics and machine learning complement each other and can solve unresolved problems in physics.

This study reviews existing research on the pressure-induced variation of magnetic properties of transition metal mono-pnictides like CrAS, MnP, and others, aiming to understand the unconventional superconductivity observed in CrAs and MnP.

This paper presents a unified theoretical description for the topological Hall effect, covering the entire region from strong- to weak-coupling, extending its picture beyond the Berry phase.

The realization of an excitonic insulator can help in the establishment of a new electronic state in condensed matter physics, one that has the potential to exhibit novel electric, magnetic, and optical responses beyond those of conventional materials.

This study presents the exact analytical expressions for gap ratio distribution, which is widely used to measure the chaoticity of quantum systems in many-body systems.

This paper introduces a QUBO model for traffic signal optimization on real-world maps. Using D-Wave quantum annealing and SUMO simulations, the model reduces vehicle waiting times, but underperforms classical solvers.

This study explores the implications of global inconsistency and ’t Hooft anomalies for analyzing quantum field theories, using simple quantum mechanical models to provide valuable insights into these complex phenomena.

Generative artificial intelligence (AI) has gained considerable attention in scientific fields. By embedding physical symmetry into AI before training, we created a faster and lighter model. Scaling improves the accuracy and unlocks the potential of physics research and applications.

This study adopts Bayesian inference using the replica exchange Monte Carlo method to accurately estimate thin-film properties from X-ray Laue oscillation data, enabling quantitative analysis and appropriate noise modeling.