FieldsMagnetic properties in condensed matter

Extending Machine Learning to Fermion–Boson Coupled Systems and Excited-State Calculations

We have demonstrated the power of machine learning in representing quantum many-body states accurately. We have extended the applicability of neural-network wave functions and shown their usefulness in fermion-boson-coupled systems and excited-state calculations.

Magnetic properties in condensed matter

Structure and mechanical and thermal properties in condensed matter

Novel Material Shows Unconventional Superconductivity with Magnetic Order Under Pressure

Multiple superconductivity wad found in the novel spin-triplet superconductor UTe₂, which is called “Silicon of Quantum Computers”. A complicated spin-triplet state is realized as a consequence of spin degree of freedom. This result will lead to a new state of topological superconductivity.

Superconductivity

Magnetic properties in condensed matter

Multiple Superconducting Phases in UTe₂: A Complex Analogy to Superfluid Phases of ³He

In quantum liquids, large differences are observed owing to differences in quantum statistics. The physical properties of liquid ³He (Fermion) and ⁴He (Boson) are considerably different at low temperatures. After the discovery of superconductivity in electron (i.e., Fermion) systems, a similar pairing ordered state was expected for ³He. Remarkably, the observed ordered state of ³He was more surprising than expected, multiple superfluid phases in the T–P phase diagram. The origin of the multiple phases was attributed to ferromagnetic interactions in the p-wave symmetry state.

Superconductivity

Magnetic properties in condensed matter