JPS Hot Topics

Strongly interacting quantum many-body states can be mapped to noninteracting quantum states, enabling a new quantum neural network called the Fermi machine to solve strongly correlated electron problems.

This study deals with the inverse elastic two-body quantum scattering problem using Volterra approximations and neural networks, offering a novel approach for solving complex nonlinear systems.

This study presents a general theory for constructing potentials supporting bound states in the continuum, offering a method for identifying such states in real quantum systems.

By constructing Kramers-Wannier-Wegner duality and Z₂ duality defects and deriving their crossing relations, this study presents the first examples of codimension one non-invertible symmetries in four-dimensional quantum field theories.

A novel convolutional neural network predicts phase transition temperatures from spin configurations without prior information about order parameters, paving the way for the discovery of new materials in condensed matter physics.

The correspondence principle states that as quantum numbers approach infinity, the nature of a system described by quantum mechanics should match that described by classical mechanics. Quantum phenomena, such as quantum superposition and quantum correlation, generally become unobservable when a system approaches this regime. Conversely, as quantum numbers decrease, classical descriptions give way to observable quantum effects. The external approach to classical–quantum crossover has attracted research interest. This study aims to demonstrate a method for achieving such control in materials.

The authors discovered the light-induced mirror symmetry breaking, paving the way for controlling mirror symmetries via light and for realizing various phenomena utilizing the mirror symmetry breaking.

Researchers review the recent advancements made towards solving the mysteries of the unconventional superconductivity of Sr₂RuO₄, analyzing recent experiments and theoretical models and proposing approaches to resolve current challenges.

This study investigates the properties of general quasi-joint probability distributions in finite-state quantum systems, revealing the Kirkwood-Dirac distribution as among the most favorable. This highlights the importance of complex distributions in understanding quantum probability.