Process-tensor approach to full counting statistics of charge transport in quantum many-body circuits
Hari Kumar Yadalam, Mark T. Mitchison

TL;DR
This paper introduces a tensor-network method to compute full counting statistics of charge transport in interacting quantum systems, capturing complex transport behaviors and non-Markovian effects.
Contribution
It develops a process tensor approach using matrix-product states to evaluate charge transfer statistics in many-body quantum circuits, including non-Markovian correlations.
Findings
Successfully simulates magnetization transport in the XXZ model at infinite temperature.
Recovers known transport regimes: ballistic, superdiffusive, and diffusive.
Reveals anomalous transport and breakdown of KPZ universality in higher cumulants.
Abstract
We introduce a numerical tensor-network method to compute the statistics of the charge transferred across an interface partitioning an interacting one-dimensional many-body lattice system with symmetry. Our approach is based on a matrix-product state representation of the process tensor (also known as influence functional or influence matrix) describing the effect of the bulk system on the degrees of freedom at the interface, allowing us to evaluate a multi-time correlation function that yields the moment-generating function of charge transfer. We develop a scheme to truncate non-Markovian correlations which preserves the proper normalization of the process tensor and ensures the correct physical properties of the generating function. We benchmark our approach by simulating magnetization transport within the Heisenberg spin- XXZ brickwork circuit model at infinite…
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