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Paper Citation Record · LEDGER

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks

As of 19 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.28570.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.28570 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T03:27:48.139459Z

measured 28 of 28 standing notices

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measured 0 of 0 inbound itemization

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Reference resolution

28 of 28 outbound references displayed

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External citation measurements

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Outbound references

Observation 3eee5bfe-6030-4bb9-a78a-abfc149df80c · outbound

This paper cites Simulat- ing physics with computers,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Simulat- ing physics with computers,

Reference 1

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Observation cc423a8e-6854-4f22-a983-c121668c99a0 · outbound

This paper cites Mind the gaps: The fraught road to quantum advantage.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Mind the gaps: The fraught road to quantum advantage

Reference 2

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Observation a60c3a23-ffe4-4715-b13b-ea3872bdfe86 · outbound

This paper cites Val- idating quantum computers using random- ized model circuits,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Val- idating quantum computers using random- ized model circuits,

Reference 3

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Observation b6d7b779-5961-439b-a082-d5f4931af190 · outbound

This paper cites Opti- mization applications as quan- tum performance benchmarks,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Opti- mization applications as quan- tum performance benchmarks,

Reference 4

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Observation a705cb79-c1b6-4a55-9168-1a77b8489911 · outbound

This paper cites HamPerf: A Hamiltonian- Oriented Approach to Quantum Bench- marking,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks HamPerf: A Hamiltonian- Oriented Approach to Quantum Bench- marking,

Reference 5

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Observation 4c7fa9a3-1850-472b-9051-00af630d61ad · outbound

This paper cites HamLib: A library of hamiltonians for benchmarking quan- tum algorithms and hardware,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks HamLib: A library of hamiltonians for benchmarking quan- tum algorithms and hardware,

Reference 6

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Observation adffdc49-39e4-4792-95f0-a502b8834fa7 · outbound

This paper cites [Online].

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks [Online]

Reference 7

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Observation ec67493e-0091-449c-856d-d1d0e8caf54f · outbound

This paper cites Validity of many-body approxima- tion methods for a solvable model: (I). Exact solutions and perturbation theory,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Validity of many-body approxima- tion methods for a solvable model: (I). Exact solutions and perturbation theory,

Reference 8

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Observation 16e1ea2b-fa2d-43bb-aedc-736a8886137a · outbound

This paper cites Large-N Scaling Behavior of the Lipkin-Meshkov- Glick Model,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Large-N Scaling Behavior of the Lipkin-Meshkov- Glick Model,

Reference 10

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Observation e2dea341-f39c-4ee9-87ef-e399017431b2 · outbound

This paper cites Exact spectrum of the Lipkin-Meshkov-Glick model in the thermodynamic limit and finite-size corrections.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Exact spectrum of the Lipkin-Meshkov-Glick model in the thermodynamic limit and finite-size corrections

Reference 11

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Observation 5b24137e-4c0c-452f-b888-2e384fb76b5b · outbound

This paper cites Lipkin model on a quantum computer,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Lipkin model on a quantum computer,

Reference 12

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Observation 2cd647ac-664c-49ac-b1b3-4293801f1574 · outbound

This paper cites Simulating excited states of the lipkin model on a quantum computer,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Simulating excited states of the lipkin model on a quantum computer,

Reference 13

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Observation 0db2b6bb-bae5-4301-80de-c791849ecfd7 · outbound

This paper cites Solving nuclear struc- tureproblems withthe adaptive variational quantum algorithm,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Solving nuclear struc- tureproblems withthe adaptive variational quantum algorithm,

Reference 15

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Observation 40c5a6e5-74a9-440c-adfe-fbee94808b0e · outbound

This paper cites Variance Minimisation of the Lipkin-Meshkov-Glick Model on a Quantum Computer.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Variance Minimisation of the Lipkin-Meshkov-Glick Model on a Quantum Computer

Reference 16

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Observation ef78a7b7-8909-44c8-9c31-d56dd51a5526 · outbound

This paper cites A practical introduction to tensor networks: Matrix product states and projected entangled pair states,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks A practical introduction to tensor networks: Matrix product states and projected entangled pair states,

Reference 17

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Observation 3d39bd74-8e9d-4a14-abb2-df93a399fbdb · outbound

This paper cites Density matrix formula- tion for quantum renormalization groups,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Density matrix formula- tion for quantum renormalization groups,

Reference 18

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Observation 9de04c3a-01ab-4f3b-81b9-d3fff03c53a5 · outbound

This paper cites Density-matrix algo- rithms for quantum renormalization groups,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Density-matrix algo- rithms for quantum renormalization groups,

Reference 19

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Observation 6f53f5e3-c098-47b9-a951-1ed28bbac88b · outbound

This paper cites The density-matrix renor- malization group in the age of matrix product states,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks The density-matrix renor- malization group in the age of matrix product states,

Reference 20

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Observation de216d2f-aa8b-43d6-af7f-66a3b74357ee · outbound

This paper cites Density matrix renormalization group (dmrg) algorithm overview,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Density matrix renormalization group (dmrg) algorithm overview,

Reference 21

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Observation c64f7253-1c6f-46e2-9f58-85592214683f · outbound

This paper cites A variational eigen- value solver on a photonic quantum pro- cessor,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks A variational eigen- value solver on a photonic quantum pro- cessor,

Reference 22

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This paper cites Pulse code communication,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Pulse code communication,

Reference 23

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This paper cites Chemistry Beyond the Scale of Exact Diagonalization on a Quantum-Centric Supercomputer.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Chemistry Beyond the Scale of Exact Diagonalization on a Quantum-Centric Supercomputer

Reference 24

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Observation a09afb81-6af1-455f-bc41-f12c6f0d68d1 · outbound

This paper cites Spin-s Dicke states and their preparation.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Spin-s Dicke states and their preparation

Reference 25

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Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks The Washington Institute for STEM and U

Reference 26

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Observation e04ecdfa-c9a7-4dab-9edb-5f11e39afb30 · outbound

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Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks The ITensor software li- brary for tensor network calculations,

Reference 27

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Observation 96e5a6fe-34a2-457b-a940-a2d43cca7113 · outbound

This paper cites Fishman, S.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Fishman, S

Reference 28

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Observation edb1a789-a531-4bcd-9354-b6219a96be3c · outbound

This paper cites Bao, SingleDMRGLMG,https://gith ub.com/maggie- bao202/SingleDMRGLMG, 2026.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Bao, SingleDMRGLMG,https://gith ub.com/maggie- bao202/SingleDMRGLMG, 2026

Reference 29

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Observation 8d35d98e-71ae-41dd-bbd7-6f415ff6038c · outbound

This paper cites Multivariate stochastic approximation using a simultaneous perturbation gradient approximation,.

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks Multivariate stochastic approximation using a simultaneous perturbation gradient approximation,

Reference 30

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