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A Sparse Model of Quantum Holography

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arxiv 2008.02303 v1 pith:EEB2DSKA submitted 2020-08-05 cond-mat.str-el hep-thquant-ph

classification cond-mat.str-elhep-thquant-ph
keywords modelsparsequantumintegralpatharguedefinedhypergraphs
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We study a sparse version of the Sachdev-Ye-Kitaev (SYK) model defined on random hypergraphs constructed either by a random pruning procedure or by randomly sampling regular hypergraphs. The resulting model has a new parameter, $k$, defined as the ratio of the number of terms in the Hamiltonian to the number of degrees of freedom, with the sparse limit corresponding to the thermodynamic limit at fixed $k$. We argue that this sparse SYK model recovers the interesting global physics of ordinary SYK even when $k$ is of order unity. In particular, at low temperature the model exhibits a gravitational sector which is maximally chaotic. Our argument proceeds by constructing a path integral for the sparse model which reproduces the conventional SYK path integral plus gapped fluctuations. The sparsity of the model permits larger scale numerical calculations than previously possible, the results of which are consistent with the path integral analysis. Additionally, we show that the sparsity of the model considerably reduces the cost of quantum simulation algorithms. This makes the sparse SYK model the most efficient currently known route to simulate a holographic model of quantum gravity. We also define and study a sparse supersymmetric SYK model, with similar conclusions to the non-supersymmetric case. Looking forward, we argue that the class of models considered here constitute an interesting and relatively unexplored sparse frontier in quantum many-body physics.

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Cited by 7 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Sharp Bounds on Ground State Energy of the SYK Model

    quant-ph 2026-07 accept novelty 7.5 of 10

    For super-constant k = o(√n), the expected operator norm of the k-SYK Hamiltonian equals (1−o(1))√(2n)/k, via a twisted-boson operator whose moments match SYK trace moments exactly.

  2. Probing the Hierarchy of Genuine Multipartite Entanglement with Generalized Latent Entropy

    hep-th 2025-10 conditional novelty 6.0 of 10

    A generalized latent-entropy measure orders k-uniform states, maxes out on AME states, shows odd-party random states saturate it, and distinguishes SYK variants.

  3. Entanglement production in the Sachdev-Ye-Kitaev Model and its variants

    quant-ph 2025-07 conditional novelty 6.0 of 10

    Entanglement production rates distinguish the spin-SYK model from fermionic SYK and binary SYK, and the differences only become visible at larger system sizes.

  4. L\'evy Sachdev-Ye-Kitaev Model

    quant-ph 2025-06 conditional novelty 6.0 of 10

    In the Lévy-disordered SYK model, spectral correlations crossover from random-matrix (chaotic) to integrable behavior at a disorder strength μ_c that shrinks as N^{-1} (short range) and N^{-1.63} (long range).

  5. Boosting quantum efficiency by reducing complexity

    quant-ph 2025-05 conditional novelty 6.0 of 10

    Sparsifying the SYK quantum battery Hamiltonian improves its charging efficiency (extractable work per stored energy) as long as chaos survives, by up to roughly 10% at N=10.

  6. Unsupervised Techniques to Detect Quantum Chaos

    quant-ph 2025-07 conditional novelty 5.0 of 10

    A self-organizing map fed with raw Hamiltonian matrices responds along the same rewiring-probability axis where spectral r-ratios show a Poisson-to-GUE crossover, though the response may reflect graph geometry instead...

  7. MSU-Bench: Towards Understanding the Conversational Multi-talker Scenarios

    eess.AS 2025-08 unverdicted novelty 4.0 of 10

    MSU-Bench is a new four-tier, speaker-centric benchmark for spoken language understanding in multi-talker conversations, and early results show audio language models decline as tier complexity increases.

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