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Introduction
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Presentation plan
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What is a tensor
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Graph structure
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Graph tensor
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Quantum gravity
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Boundary entanglement
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Entropy
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Entanglement
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Basic example
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Phase transition
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Quantum information
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Replica trick
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Replica check
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Spin model
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Unique minimal cuts
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Two minimal cuts
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Permutations
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Free Products
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Conditional Entropy
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Minimal Cuts
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the intricacies of random tensor networks with nontrivial links in this one-hour conference talk by Freek Witteveen. Delve into the world of quantum information theory and holographic quantum gravity as the speaker discusses the refined model of random tensor network states with arbitrary link states. Discover how entanglement properties of these networks depend on graph structure and link states, and learn about the application of tools from free probability, random matrix theory, and one-shot quantum information theory in studying these networks. Gain insights into topics such as boundary entanglement, entropy, phase transitions, replica tricks, and conditional entropy. Based on joint work with Newton Cheng, Cecilia Lancien, Geoff Penington, and Michael Walter, this talk provides a comprehensive overview of the subject matter, from basic examples to complex concepts like unique minimal cuts and permutations.

Random Tensor Networks with Nontrivial Links

Centre de recherches mathématiques - CRM
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