Entanglement transitions from holographic random tensor networks
By Romain Vasseur, Andrew C. Potter, Yi-Zhuang You, A. Ludwig. Physical review B, 2018
175 citations recorded by the source corpus.
Universal features in patterns of entanglement of quantum states provide valuable information-theoretical insights into complex quantum many-body phases and dynamics. This work uncovers a novel class of phase transition between weakly- and strongly- entangled quantum states, described holographically at the boundary of a random tensor network. The univeral scaling structure of these transitions is explored via an exact mapping onto a classical spin model, which also opens the door to efficient numerical methods to study these complex quantum phenomena.
Subfields: Atomic and Molecular Physics, and Optics, Nuclear and High Energy Physics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/8f52a6bb3f1bbf0386354693e287bb0af1db3f27
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In Atomic and Molecular Physics, and Optics
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Citations in the corpus
- Measurement-Induced Phase Transitions in the Dynamics of Entanglement (2018, methodology): “A starting point may be the replica trick, which has been used in unitary circuits and random tensor networks [18, 25] to construct mappings to (replica limits of) effective classical spin models in which the degrees of freedom are permutations [24].”
- Measurement and Entanglement Phase Transitions in All-To-All Quantum Circuits, on Quantum Trees, and in Landau-Ginsburg Theory (2020, methodology): “[35], for Haar circuits in [33], and for circuits with measurement in Refs.”
- Entanglement and Charge-Sharpening Transitions in U(1) Symmetric Monitored Quantum Circuits (2021, background): “[19, 20] (see also [59, 60] in the context of random tensor networks)”
- Measurement-protected quantum phases (2020, background): “discussed in the context of entanglement transitions in random tensor networks [43].”
- Random Quantum Circuits (2022, methodology): “This is closely connected to the problem of formulating a field theory for the entanglement transition in a random tensor network (RTN) (134) (a random tensor network, with “virtual” bonds in the bulk and “physical” bonds on the boundary, can undergo an entanglement phase transition as a function of”