Revisiting Many-body Localization with Random Networks of Tensors
classification
🪐 quant-ph
keywords
arguelocallocalizationmatrixproductrandomtensorsargumentation
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We argue first that translational invariant Matrix Product can be interpreted as a stationary sea of particles. Next, rather than starting from some local Hamiltonian with random potentials, we consider fluctuations of the local tensors of a continuous one-parameter family of Matrix Product States. This leads to a mapping from 1+1+0 to 0+1+1, being time-space-$\lambda$. We argue that both pictures are equivalent. Finally, the holography principle and an operational argumentation is used to map the problem onto 1+0+1. Localization in 1-dimension, can be understood from a simple study spectral and mixing properties of finite dimensional quantum channels.
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