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Topic: Advanced Condensed Matter Physics ×Clear all

2 claims from 1 paper

1. Physics and Astronomy › Advanced Condensed Matter Physics

   Dirac-Type Nodal Spin Liquid Revealed by Refined Quantum Many-Body Solver Using Neural-Network Wave Function, Correlation Ratio, and Level Spectroscopy

   Nomura and Imada · Physical Review X · 2021

   The authors combine a machine-learning wave function with correlation-ratio and level-spectroscopy methods to identify a gapless Dirac-type quantum spin liquid in the frustrated square-lattice Heisenberg model.

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   1. UncheckedA neural-network method finds a quantum spin liquid phase for 0.49 ≲ J2/J1 ≲ 0.54 in the square-lattice spin-1/2 J1-J2 Heisenberg model.“Here we show that a machine-learning method for quantum many-body systems that has achieved state-of-the-art accuracy reveals the existence of a quantum spin liquid (QSL) phase in the region $0.49\lesssim J_2/J_1\lesssim0.54$ convincingly in spin-1/2 frustrated Heisenberg model with the nearest and…”
   2. UncheckedGapless Dirac-like spin excitations, singlet and triplet, point to gapless spin-1/2 Dirac-type spinons in the spin liquid phase of this square-lattice model.“The spin excitation spectra containing both singlet and triplet gapless Dirac-like dispersions signal the emergence of gapless fractionalized spin-1/2 Dirac-type spinons in the distinctive QSL phase.”