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

Yusuke Nomura, Masatoshi Imada

2021Physical Review X128 citationsDOIOpen Access PDF

Abstract

New machine-learning methods show evidence of a quantum spin liquid in a 2D model, offering a guide to search for materials hosting this exotic state, in which electrons splinter into spinons, with potential use in quantum devices.

Topics & Concepts

PhysicsSpin (aerodynamics)QuantumCondensed matter physicsQuantum mechanicsSpectroscopyQuantum spin liquidSolverElectronSpin engineeringQuantum computerQuantum systemQuantum dotQuantum sensorStrongly correlated materialQuantum entanglementQuantum numberQuantum phasesSpin waveQuantum correlationSpin statesFerromagnetismQuantum simulatorWave functionQuantum algorithmQuantum stateMagnetic fieldQuantum many-body systemsAdvanced Condensed Matter PhysicsTopological Materials and Phenomena
Dirac-Type Nodal Spin Liquid Revealed by Refined Quantum Many-Body Solver Using Neural-Network Wave Function, Correlation Ratio, and Level Spectroscopy | Litcius