Deep Neural Network Detects Quantum Phase Transition

We detect the quantum phase transition of a quantum many-body system by mapping the observed results of the quantum state onto a neural network. In the present study, we utilized the simplest case of a quantum many-body system, namely a one-dimensional chain of Ising spins with the transverse Ising...

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Veröffentlicht in:	Journal of the Physical Society of Japan 2018-03, Vol.87 (3), p.33001
Hauptverfasser:	Arai, Shunta, Ohzeki, Masayuki, Tanaka, Kazuyuki
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer simulation Configurations Critical point Ising model Monte Carlo simulation Neural networks Phase transitions Quantum dots
Online-Zugang:	Volltext
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