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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.
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I. Danshita, M. Hanada, and M. Tezuka, Creating and probing the Sachdev–Ye–Kitaev model with ultracold gases: Towards experimental studies of quantum gravity, Prog. Theor. Exp. Phys. 2017
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D. I. Pikulin and M. Franz, Black hole on a chip: Proposal for a physical realization of the sachdev-ye-kitaev model in a solid-state system, Phys. Rev. X 7
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L. García-Álvarez, I. L. Egusquiza, L. Lamata, A. del Campo, J. Sonner, and E. Solano, Digital quantum simulation of minimal AdS / CFT \mathrm{AdS}/\mathrm{CFT} , Phys. Rev. Lett. 119
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G. H. Low and I. L. Chuang, Optimal Hamiltonian Simulation by Quantum Signal Processing, Phys. Rev. Lett. 118
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I. Dumitriu and Y. Zhu, Spectra of random regular hypergraphs, arXiv:1905.06487 (2019)
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G. H. Low and I. L. Chuang, Hamiltonian Simulation by Qubitization, Quantum 3
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M. Berkooz, M. Isachenkov, V. Narovlansky, and G. Torrents, Towards a full solution of the large N double-scaled SYK model, J. High Energy Phys. 2019
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B. Swingle, Sparse Sachdev-Ye-Kitaev Model, in Workshop: Applications of Random Matrix Theory to many-body Physics (2019)
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2020
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Y. Ouyang, D. R. White, and E. T. Campbell, Compilation by stochastic Hamiltonian sparsification, Quantum 4
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Z. Jiang, A. Kalev, W. Mruczkiewicz, and H. Neven, Optimal fermion-to-qubit mapping via ternary trees with applications to reduced quantum states learning, Quantum 4
2020
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