Paper Citation Record · LEDGER

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE

As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.02749.

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

pith.paper-citation-record.v1
2607.02749 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T07:18:17.584472Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

verified exact15
verified fuzzy0
unresolved29
parse uncertain0
malformed identifier2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 201767bb-8c39-40bd-a920-00259f72b29d · outbound

This paper cites A variational eigenvalue solver on a photonic quantum processor,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE A variational eigenvalue solver on a photonic quantum processor,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation 2abbff9b-6637-4b9d-8087-10239e3fb329 · outbound

This paper cites The theory of variational hybrid quantum-classical algorithms,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE The theory of variational hybrid quantum-classical algorithms,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation 20f7e86a-7c7e-440b-a985-cc1845420001 · outbound

This paper cites Scalable quantum simulation of molecular energies,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Scalable quantum simulation of molecular energies,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation 49c1fb1c-6f51-4b00-85f0-21bb6bbd1bea · outbound

This paper cites Helgaker, P.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Helgaker, P

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation 6f033329-e2d8-48da-9902-ece1f8fb5e32 · outbound

This paper cites The variational quantum eigensolver: a review of methods and best practices,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE The variational quantum eigensolver: a review of methods and best practices,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

Source-reported events for the cited work

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Observation 3c345f8b-ff67-4637-9f89-7f8a59d1ee4a · outbound

This paper cites Barren plateaus in quantum neural network training landscapes,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Barren plateaus in quantum neural network training landscapes,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Unavailable: canonical work link unavailable.

Observation 923f145e-4f32-459e-8d04-803ef55ad93c · outbound

This paper cites The protein-folding problem, 50 years on,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE The protein-folding problem, 50 years on,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Unavailable: canonical work link unavailable.

Observation cb2c5462-e051-45a4-9de4-427af4a9ba95 · outbound

This paper cites Quantum computing at the frontiers of biological sciences,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Quantum computing at the frontiers of biological sciences,

Reference 9

Resolution: verified exact; doi, observed 2026-07-12T07:18:34.497632Z

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Observation 562af7d5-abea-41a8-9308-68603a4b040c · outbound

This paper cites Community detection in graphs,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Community detection in graphs,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Unavailable: canonical work link unavailable.

Observation 999c2c1f-49ce-4b03-ab8b-5035a60cc667 · outbound

This paper cites Graph partitioning methods for fast parallel quantum molecular dynamics,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Graph partitioning methods for fast parallel quantum molecular dynamics,

Reference 11

Resolution: verified exact; doi, observed 2026-07-12T07:18:34.521209Z

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Observation dd2395dc-6142-4d18-9083-ef432eacd54f · outbound

This paper cites Doubling the size of quantum simulators by entanglement forging,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Doubling the size of quantum simulators by entanglement forging,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation 1cbbcd4e-6f52-4fba-9a50-057d1ed4d0c9 · outbound

This paper cites Cutting Quantum Circuits to Run on Quantum and Classical Platforms.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Cutting Quantum Circuits to Run on Quantum and Classical Platforms

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation 27e804ff-379e-4de0-b2e4-8e4a1d0d2e2e · outbound

This paper cites Cutting Quantum Circuits to Run on Quantum and Classical Platforms.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Cutting Quantum Circuits to Run on Quantum and Classical Platforms

Reference 14

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Observation 9b9b68ea-0a3a-49c3-898a-93bd78dfdd28 · outbound

This paper cites Variational quantum eigensolver with reduced circuit complexity,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Variational quantum eigensolver with reduced circuit complexity,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Unavailable: canonical work link unavailable.

Observation 920313c0-270d-41b5-9a25-92afe35e38f9 · outbound

This paper cites Estimation of effective interresidue contact energies from protein crystal structures: quasi-chemical approximation,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Estimation of effective interresidue contact energies from protein crystal structures: quasi-chemical approximation,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation e2912dfc-84bf-45ba-9b9d-ca5a4aae92c6 · outbound

This paper cites Residue–residue potentials with a favorable contact pair term and an unfavorable high packing density term, for simulation and threading,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Residue–residue potentials with a favorable contact pair term and an unfavorable high packing density term, for simulation and threading,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation 8826af21-a8c5-4620-9293-9175ade76133 · outbound

This paper cites Available: https://doi.org/10.1006/jmbi.1996.0114.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Available: https://doi.org/10.1006/jmbi.1996.0114

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-12T07:18:34.598753Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation feb521e2-7a3e-4a22-8939-f9c32cbafd02 · outbound

This paper cites Contact order, transition state placement and the refolding rates of single domain proteins,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Contact order, transition state placement and the refolding rates of single domain proteins,

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-12T07:18:34.529009Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b16404d0-83c9-4a4b-8976-1d615e4bbe83 · outbound

This paper cites Contact order revisited: influence of protein size on the folding rate,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Contact order revisited: influence of protein size on the folding rate,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation 445a97c6-dc9d-44b1-8c77-382454ed2dfa · outbound

This paper cites Available: https://doi.org/10.1110/ps.0302503.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Available: https://doi.org/10.1110/ps.0302503

Reference 21

Resolution: verified exact; doi, observed 2026-07-12T07:18:34.543878Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 48a13a16-ebdc-41dd-bf0f-10b0d08d6a45 · outbound

This paper cites Protein structure: insights from graph theory,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Protein structure: insights from graph theory,

Reference 22

Resolution: verified exact; doi, observed 2026-07-12T07:18:34.483426Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f54ae923-e754-4e35-b322-d6bbafc924c0 · outbound

This paper cites Modular decomposition of protein structure using community detection,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Modular decomposition of protein structure using community detection,

Reference 23

Resolution: verified exact; doi, observed 2026-07-12T07:18:34.664131Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3fb04e35-ccc6-4cfa-8922-d16114448fc5 · outbound

This paper cites Assortative mixing in protein contact networks and protein folding kinetics,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Assortative mixing in protein contact networks and protein folding kinetics,

Reference 24

Resolution: verified exact; doi, observed 2026-07-12T07:18:34.612709Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 98442fcf-c905-47b7-a843-25bdeb893c5a · outbound

This paper cites Task-based parallel computation of the density matrix in quantum-based molecular dynamics using graph partitioning,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Task-based parallel computation of the density matrix in quantum-based molecular dynamics using graph partitioning,

Reference 25

Resolution: verified exact; doi, observed 2026-07-12T07:18:34.536184Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0fb13679-63b3-4346-ad16-7dca24cc78cb · outbound

This paper cites Cost function dependent barren plateaus in shallow parametrized quantum circuits,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Cost function dependent barren plateaus in shallow parametrized quantum circuits,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation 3c5aea75-9977-4613-9ce5-48c9281daeca · outbound

This paper cites Noise-induced barren plateaus in variational quantum algorithms,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Noise-induced barren plateaus in variational quantum algorithms,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation 62a4bfb9-f38e-4d40-b207-cee5944658f6 · outbound

This paper cites Multilevel algorithms for multi-constraint graph partitioning,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Multilevel algorithms for multi-constraint graph partitioning,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation baf121e1-f693-4d81-95b4-016324ce8711 · outbound

This paper cites Eqc: ensembled quantum computing for variational quantum algorithms,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Eqc: ensembled quantum computing for variational quantum algorithms,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation 5a91c591-6fdb-49dd-8d8e-26bd70eea18e · outbound

This paper cites A quantum framework for protein binding-site structure prediction on utility-level quantum processors,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE A quantum framework for protein binding-site structure prediction on utility-level quantum processors,

Reference 30

Resolution: verified exact; doi, observed 2026-07-12T07:18:34.510905Z

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Observation 0f654ca2-7855-45f4-9dc8-bf00ff6562dc · outbound

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Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Unresolved cited work

Reference 31

Resolution: verified exact; doi, observed 2026-07-12T07:18:34.502512Z

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Observation 69b830b3-3368-4cf3-977d-79ae3a57dfdc · outbound

This paper cites cuquantum sdk: A high-performance library for accelerating quantum science,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE cuquantum sdk: A high-performance library for accelerating quantum science,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation 6d9b786a-8485-4d25-a617-162ce7a6ee9c · outbound

This paper cites Multi-gpu quantum circuit simulation and the impact of network performance,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Multi-gpu quantum circuit simulation and the impact of network performance,

Reference 33

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Observation d5eea548-785e-4900-8993-d8ef948fcd6d · outbound

This paper cites Shaping up the protein folding funnel by local interaction: lesson from a structure prediction study,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Shaping up the protein folding funnel by local interaction: lesson from a structure prediction study,

Reference 34

Resolution: verified exact; doi, observed 2026-07-12T07:18:34.604259Z

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Observation 267eb373-64bb-4319-b4a7-99395bba5687 · outbound

This paper cites Resource-efficient quantum algorithm for protein folding,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Resource-efficient quantum algorithm for protein folding,

Reference 35

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Observation 8f27bcc0-4682-4799-84d4-49381ac399cc · outbound

This paper cites A quantum alternating operator ansatz with hard and soft constraints for lattice protein folding.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE A quantum alternating operator ansatz with hard and soft constraints for lattice protein folding

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Penalty methods for a variational quantum eigensolver,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation d55fa2d2-29da-4102-bf72-ef1a10915ace · outbound

This paper cites Potential of quantum computing for drug discovery,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Potential of quantum computing for drug discovery,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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This paper cites Highly accurate protein structure prediction with alphafold,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Highly accurate protein structure prediction with alphafold,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation 2cbbad79-7f6a-426f-9b9d-d388ea19a62e · outbound

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Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE The prospects of quantum computing in computational molecular biology,

Reference 40

Resolution: verified exact; doi, observed 2026-07-12T07:18:34.638786Z

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Observation 2617ecca-66b9-454c-8e59-27f2e47e600c · outbound

This paper cites Variational quantum algorithms,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Variational quantum algorithms,

Reference 41

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Observation ebeb4ec8-d66c-4849-b62a-fc0704ca83b0 · outbound

This paper cites An adaptive variational algorithm for exact molecular simulations on a quantum computer,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE An adaptive variational algorithm for exact molecular simulations on a quantum computer,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation d1b2c4f8-63be-46e0-a817-68d06b9bc036 · outbound

This paper cites Available: https://doi.org/10.1038/s41467-019-10988-2.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Available: https://doi.org/10.1038/s41467-019-10988-2

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation bb791a2b-5332-4f8a-9b6c-5f59049fae43 · outbound

This paper cites Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Observation f787dd97-bdb0-4d1d-9175-bd64745cca55 · outbound

This paper cites Improving variational quantum optimization using cvar,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Improving variational quantum optimization using cvar,

Reference 45

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Observation a98cfe98-174a-44a8-bede-39628e060677 · outbound

This paper cites Contextual subspace variational quantum eigensolver,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Contextual subspace variational quantum eigensolver,

Reference 46

Resolution: verified exact; doi, observed 2026-07-12T07:18:34.565988Z

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Observation 3eaab0f4-b112-4c74-a539-ec21d114d78c · outbound

This paper cites Harnessing cuda-q’s mps for tensor network simulations of large-scale quantum circuits,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Harnessing cuda-q’s mps for tensor network simulations of large-scale quantum circuits,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Unavailable: canonical work link unavailable.

Observation a725ef8f-7fc6-41a5-ad3e-727bd8364315 · outbound

This paper cites Error estimates for extrapolations with matrix-product states,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Error estimates for extrapolations with matrix-product states,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-12T07:18:17.584472Z

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Unavailable: canonical work link unavailable.

Observation 28775831-0a37-481c-84e8-6f10209f952c · outbound

This paper cites Classical benchmarks for variational quantum eigensolver simulations of the hubbard model,.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE Classical benchmarks for variational quantum eigensolver simulations of the hubbard model,

Reference 49

Resolution: verified exact; doi, observed 2026-07-12T07:18:34.488462Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.