This study presents an innovative method to address the problem of phase transitions in quantum annealing, resulting in an exponential speedup of the process.

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.

Quantum states can be categorized as hyperuniform or multifractal based on electronic characteristics. This study demonstrates that bosonic quasicrystalline systems exhibit hyperuniform or multifractal quantum states.

Secure computation allows the manipulation of material data without exposing them, thereby offering an alternative to traditional open/closed data management. We recently reported the development of an application that performs Bayesian optimization using secure computation.

Careful measurements were conducted on the hexagonal magnet GdGa₂ to reveal the experimental signatures of ultrasmall spin cycloids and of a potential Néel-type skyrmion lattice phase induced by a magnetic field.

The development of a high-power, low-noise ultraviolet laser facilitates fast Rydberg excitation of single ytterbium atoms, which is a fundamental step towards achieving high-fidelity two-qubit gates.

This study predicts the presence of spin-spin interactions mediated by the angular momentum of lattice vibrations, which can be long-range.

This special collection published in the Journal of the Physical Society of Japan celebrates 70 Years of Tanabe–Sugano Diagrams, highlighting their continued role in advancing materials with transition metals.

Interlayer spin–orbit coupling originating from the anion potential gives rise to a 3D Dirac semimetal state that preserves inversion symmetry in the multilayer organic massless Dirac fermion system α-(ET)₂I₃.

A new Special Topics edition of the Journal of the Physical Society of Japan features articles exploring special transition-metal compounds that exhibit novel charge-orbital states.