24–28 Aug 2026
Hiyoshi Campus, Keio University, Yokohama, Japan
Asia/Tokyo timezone

Neural-network quantum states for solving few-body problems: application to Efimov physics

26 Aug 2026, 12:20
1h 40m
Multipurpose Room 3, Kyoseikan (Hiyoshi Campus, Keio University, Yokohama, Japan)

Multipurpose Room 3, Kyoseikan

Hiyoshi Campus, Keio University, Yokohama, Japan

4-1-1 Hiyoshi, Kohoku-Ku,Yokohama, Kanagawa 223-8526, JAPAN
Board: 4
Poster Presentation Poster

Speaker

Ryuhei Furuta (University of Electro-Communications)

Description

Neural-network quantum states have been developed as an efficient method for solving quantum many-body problems, not only in lattice systems but also in systems of particles in continuous space. Here, we apply this approach to strongly interacting few-body problems in continuous space at unitarity: the Efimov states and associated few-body bound states. We obtain the ground and first excited states of few bosons with a projection method, and a mass-imbalanced fermionic system consisting of two identical fermions and a third particle. The obtained energies of the ground and first excited states of these systems agree well with previously reported results. Furthermore, the proposed approach also reproduces the discrete scale invariance between the ground and first-excited states and the critical-mass behavior in mass-imbalanced fermionic systems. Our method can be straightforwardly applied to a broad class of strongly correlated few-body problems in continuous space.

Authors

Sora Yokoi (University of Electro-Communications) Ryuhei Furuta (University of Electro-Communications) Prof. Shimpei Endo (University of Electro-Communications) Prof. Hiroki Saito (University of Electro-Communications)

Presentation materials

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