{"as_of":"2026-08-08T10:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cf242ba29d7e11820503902d4a0040943f03a1097bd444b5163ab7e11d7d0766","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T07:18:17.584472Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.02749/citation-record","integrity":"/paper/2607.02749/integrity","json":"/paper/2607.02749/citation-record.json","paper":"/paper/2607.02749"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"A variational eigenvalue solver on a photonic quantum processor,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:727f3f50d1e51c85ed158a9d73a379323606e3c7f09942a5beada0dd2a65404e","observation_id":"201767bb-8c39-40bd-a920-00259f72b29d","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"The theory of variational hybrid quantum-classical algorithms,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:484d6cbb92fbe9331074ae035028973b84b5f6b112973d3f553635356999553f","observation_id":"2abbff9b-6637-4b9d-8087-10239e3fb329","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Scalable quantum simulation of molecular energies,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:10fe12240e8745a71588dd4efa45f5d6a80eecb425198b1eab0a6f4fe2283989","observation_id":"20f7e86a-7c7e-440b-a985-cc1845420001","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Helgaker, P","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:82542702ef14ab93c7f941a33cff9c187c7d66162edd48fb519e5f0af9e34064","observation_id":"49c1fb1c-6f51-4b00-85f0-21bb6bbd1bea","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"The variational quantum eigensolver: a review of methods and best practices,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:ada4584f3a322b71886d8f714ad5e2d70449adee2afd12a7c3f73ee0abd688fc","observation_id":"6f033329-e2d8-48da-9902-ece1f8fb5e32","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Barren plateaus in quantum neural network training landscapes,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:d32f578e8b3d6b4570abbb51724befac024c8982a3e045c1129580977867aa0c","observation_id":"3c345f8b-ff67-4637-9f89-7f8a59d1ee4a","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"The protein-folding problem, 50 years on,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:e21962bd2640cba75f3ae6b8efefc9f63ef6c9aac8b79dac32d3c9159d50efef","observation_id":"923f145e-4f32-459e-8d04-803ef55ad93c","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41592-020-01004-3","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Quantum computing at the frontiers of biological sciences,","venue":"Nature Methods","work_id":"82ce743b-98e0-42f1-a556-2932a3a5e3c4","year":2021},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:bebc1561b2021a86711ac6a1630a15d9aa61ed5de745051ea9ce00d18c8d003c","observation_id":"cb2c5462-e051-45a4-9de4-427af4a9ba95","resolution":{"observed_at":"2026-07-12T07:18:34.497632Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Community detection in graphs,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:59f1f651f0f61dae7d592d848e421ddf1c6b2640a78c1d499ff2e413c1ee0a9a","observation_id":"562af7d5-abea-41a8-9308-68603a4b040c","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1137/1.9781611974690.ch5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Graph partitioning methods for fast parallel quantum molecular dynamics,","venue":"Society for Industrial and Applied Mathematics eBooks","work_id":"b086acd9-287c-4687-be6c-1894c6630789","year":2016},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:b7bad8e8f7a4e29baeb17be6cf3d6be4b381693e8958b9b7e13f2c8f3d696a28","observation_id":"999c2c1f-49ce-4b03-ab8b-5035a60cc667","resolution":{"observed_at":"2026-07-12T07:18:34.521209Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Doubling the size of quantum simulators by entanglement forging,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:1683d1c5405b283629e94392e48674c59ac44bf4d329cdc64e06dbe6ea1ba5d5","observation_id":"dd2395dc-6142-4d18-9083-ef432eacd54f","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.05836","last_updated":"2022-05-12T02:09:38Z","snapshot_observed_at":"2026-07-06T13:09:07.045333Z","submitted_at":"2022-05-12T02:09:38Z","title":"Cutting Quantum Circuits to Run on Quantum and Classical Platforms","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.05836","snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Cutting quantum circuits to run on quantum and classical platforms,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"cited_paper":"/paper/2205.05836","citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:daf71bfdd24beb1d799ab4dcd8c2b8a99f2cfc1428c6271edf47153ac1a9e14d","observation_id":"1cbbcd4e-6f52-4fba-9a50-057d1ed4d0c9","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.05836","last_updated":"2022-05-12T02:09:38Z","snapshot_observed_at":"2026-07-06T13:09:07.045333Z","submitted_at":"2022-05-12T02:09:38Z","title":"Cutting Quantum Circuits to Run on Quantum and Classical Platforms","version":1},"cited_work":{"arxiv_id":"2205.05836","doi":"10.48550/arxiv.2205.05836","metadata_source":"pith","pith_arxiv_id":"2205.05836","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Cutting Quantum Circuits to Run on Quantum and Classical Platforms","venue":"quant-ph","work_id":"843b9826-d7b0-48db-a139-a78ee4285571","year":2022},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"cited_paper":"/paper/2205.05836","citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:cbc779d3529d1734e7410f8b79f5850235185f203961f9bc2a6df22795a5f51d","observation_id":"27e804ff-379e-4de0-b2e4-8e4a1d0d2e2e","resolution":{"observed_at":"2026-07-12T07:18:34.578528Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Variational quantum eigensolver with reduced circuit complexity,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:b6dd329f96ad882741d23917f372e0fd1c179288a86af2cd0a4128371dfef56c","observation_id":"9b9b68ea-0a3a-49c3-898a-93bd78dfdd28","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Estimation of effective interresidue contact energies from protein crystal structures: quasi-chemical approximation,","venue":null,"work_id":null,"year":1985},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:51d333f9ab2be1ad1a7630ee6f3be4287685f2a5b489b08e0f9f830bc5191d9e","observation_id":"920313c0-270d-41b5-9a25-92afe35e38f9","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Residue–residue potentials with a favorable contact pair term and an unfavorable high packing density term, for simulation and threading,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:45dfd6a83328b24335b0c73a9fc43ff307c7ef12207a984eb47914691dd68076","observation_id":"e2912dfc-84bf-45ba-9b9d-ca5a4aae92c6","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1996.0114","doi":"10.1006/jmbi.1996.0114","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Available: https://doi.org/10.1006/jmbi.1996.0114","venue":"Journal of Molecular Biology","work_id":"9a6be24e-a5eb-491c-9755-968e86ee3ed4","year":1996},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:147f8f95fbdc612b5f7512c57786fc4e0fe4143dd3671ce85460d898691adcc9","observation_id":"8826af21-a8c5-4620-9293-9175ade76133","resolution":{"observed_at":"2026-07-12T07:18:34.598753Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1998.1645","doi":"10.1006/jmbi.1998.1645","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Contact order, transition state placement and the refolding rates of single domain proteins,","venue":"Journal of Molecular Biology","work_id":"f04b8173-9bd6-4f0a-b8f0-90896b196d62","year":1998},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:995278e46f938feed31d40db226f8ce80367a84f2be3a4ba6842306ce8bff7b2","observation_id":"feb521e2-7a3e-4a22-8939-f9c32cbafd02","resolution":{"observed_at":"2026-07-12T07:18:34.529009Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Contact order revisited: influence of protein size on the folding rate,","venue":null,"work_id":null,"year":2057},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:73fe7e0b4e942c5a66e439b478d93746facf65955b59bbadd6075ec324999a3a","observation_id":"b16404d0-83c9-4a4b-8976-1d615e4bbe83","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1110/ps.0302503","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Available: https://doi.org/10.1110/ps.0302503","venue":"Protein Science","work_id":"1365b5fe-fb0c-4314-8a7a-79b1942bdca3","year":null},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:7b0d6b5eae6ef92ab24297a978dd963aad182114cb7878d23827dac5bb486010","observation_id":"445a97c6-dc9d-44b1-8c77-382454ed2dfa","resolution":{"observed_at":"2026-07-12T07:18:34.543878Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1142/s0219633602000117","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Protein structure: insights from graph theory,","venue":"Journal of Theoretical and Computational Chemistry","work_id":"d46e5379-541d-436e-96df-421c6315bc23","year":2002},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:1c07b10a8c282b73fd18d81ad768b44be958a8c749e74c7d277f3ed10544363f","observation_id":"48a13a16-ebdc-41dd-bf0f-10b0d08d6a45","resolution":{"observed_at":"2026-07-12T07:18:34.483426Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/comnet/cny014","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Modular decomposition of protein structure using community detection,","venue":"Journal of Complex Networks","work_id":"87481c28-d4fd-40a7-a1ac-44bbe6d6dfda","year":2019},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:b2107c0ad7eff5fc047df79195888d6b5b4c098c5c0561b7e70f852c315f062a","observation_id":"f54ae923-e754-4e35-b322-d6bbafc924c0","resolution":{"observed_at":"2026-07-12T07:18:34.664131Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/bioinformatics/btm257","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Assortative mixing in protein contact networks and protein folding kinetics,","venue":"Bioinformatics","work_id":"757c4a61-d916-4704-9711-82d432fe2bde","year":2007},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:9b586642a8dea842baf5ea61b2e861d366262e607079779e83736c0b9fcfcb0b","observation_id":"3fb04e35-ccc6-4cfa-8922-d16114448fc5","resolution":{"observed_at":"2026-07-12T07:18:34.612709Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1137/16m109404x","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Task-based parallel computation of the density matrix in quantum-based molecular dynamics using graph partitioning,","venue":"SIAM Journal on Scientific Computing","work_id":"9bff01b6-8c05-4c9d-b112-537c8969265b","year":2017},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:2e82587473c3d24c43ae134fe5b0a801a7ed32c74d77312c554cf9aabfc406c2","observation_id":"98442fcf-c905-47b7-a843-25bdeb893c5a","resolution":{"observed_at":"2026-07-12T07:18:34.536184Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Cost function dependent barren plateaus in shallow parametrized quantum circuits,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:3c7093dc57395873382a9510be2ba20f75d11f226086b5641f8cc9b78fd55aab","observation_id":"0fb13679-63b3-4346-ad16-7dca24cc78cb","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Noise-induced barren plateaus in variational quantum algorithms,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:cda43f3084a29ffca2d5f78b6cc98528eeed87ba78955c39224a6672ee5d8300","observation_id":"3c5aea75-9977-4613-9ce5-48c9281daeca","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Multilevel algorithms for multi-constraint graph partitioning,","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:c9901d77e8876bc0eb97e80e1979345c1cdd610fa255f9e6c42b4700eb15b412","observation_id":"62a4bfb9-f38e-4d40-b207-cee5944658f6","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Eqc: ensembled quantum computing for variational quantum algorithms,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:81953d8e123b712877a943e7af617d1aaac4e58d2b9a8846c8ce2eeb1f2dc48a","observation_id":"baf121e1-f693-4d81-95b4-016324ce8711","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/advs.202513641","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A quantum framework for protein binding-site structure prediction on utility-level quantum processors,","venue":"Advanced Science","work_id":"f009d7d6-79fb-4f83-a58c-75934645e4ed","year":2025},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:c40cace7377e89c98ba7918e4decd6326638fbeb068dc4f4f66bd58c5e2ade37","observation_id":"5a91c591-6fdb-49dd-8d8e-26bd70eea18e","resolution":{"observed_at":"2026-07-12T07:18:34.510905Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.19057431","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Zenodo (CERN European Organization for Nuclear Research)","work_id":"ad3cd779-5198-4bd6-bf73-462616990974","year":2026},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:cd8d92aa3766ee40b009986c0c03c89d31ca4857d3367bb7495ccbe4e137c0ac","observation_id":"0f654ca2-7855-45f4-9dc8-bf00ff6562dc","resolution":{"observed_at":"2026-07-12T07:18:34.502512Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"cuquantum sdk: A high-performance library for accelerating quantum science,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:68e4cd2b43524912706aafd1d47e854290e6b7b635094789455666ab0ac3bc89","observation_id":"69b830b3-3368-4cf3-977d-79ae3a57dfdc","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2026.110126","doi":"10.1016/j.cpc.2026.110126","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Multi-gpu quantum circuit simulation and the impact of network performance,","venue":"Computer Physics Communications","work_id":"9660280c-1ecd-4107-ba96-0d2b754ec1e4","year":2025},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:6bef16a7b7e8b30d056ea30315d0589e3bf6d6b9cd5bea42bb04e58a770aee82","observation_id":"6d9b786a-8485-4d25-a617-162ce7a6ee9c","resolution":{"observed_at":"2026-07-12T07:18:34.477564Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1073/pnas.0508195103","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Shaping up the protein folding funnel by local interaction: lesson from a structure prediction study,","venue":"Proceedings of the National Academy of Sciences","work_id":"759e0113-9574-4102-91fa-48a9834403b2","year":2006},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:ff2185837d6ec55a661eda17a6a96c6fd280b3c426d318116848b6d8cae1b235","observation_id":"d5eea548-785e-4900-8993-d8ef948fcd6d","resolution":{"observed_at":"2026-07-12T07:18:34.604259Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Resource-efficient quantum algorithm for protein folding,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:ebc2020cbff9394f39527e8bd6cc4a3a175db58d597a5a9126508f2b8323d7c1","observation_id":"267eb373-64bb-4319-b4a7-99395bba5687","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.13411","last_updated":"2018-10-31T17:10:56Z","snapshot_observed_at":"2026-07-06T07:11:49.850416Z","submitted_at":"2018-10-31T17:10:56Z","title":"A quantum alternating operator ansatz with hard and soft constraints for lattice protein folding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.13411","snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"A quantum alternating operator ansatz with hard and soft constraints for lattice protein folding,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"cited_paper":"/paper/1810.13411","citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:08a4caccc2d75c9f376997d850d61291abaf0cd2d1e5d63a80ffdf23213feb5b","observation_id":"8f27bcc0-4682-4799-84d4-49381ac399cc","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Penalty methods for a variational quantum eigensolver,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:22df41b46233ea9ec9ac9b24c10d72f7469f83cc4eb9ed988b0205174888de87","observation_id":"ce85b233-a583-4c04-8c5e-c1c19ceb71b4","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Potential of quantum computing for drug discovery,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:18f7830e0727f62e3d2aeec2de0fc9491a17af95849f2178b68ee98e345e8879","observation_id":"d55fa2d2-29da-4102-bf72-ef1a10915ace","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Highly accurate protein structure prediction with alphafold,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:d53ea23c57a00329530e8a60dde00d3dfa4ece8b19693080d6a49c1071947723","observation_id":"52acc78a-e38e-4154-b5f5-41f176356eb6","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/wcms.1481","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The prospects of quantum computing in computational molecular biology,","venue":"Wiley Interdisciplinary Reviews Computational Molecular Science","work_id":"0509391d-40d1-4648-a362-299c13af6cfe","year":2021},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:9673598857bf23752cd59890dfb13e6d8a385ff0376e4c0da1d9b805e47349ab","observation_id":"2cbbad79-7f6a-426f-9b9d-d388ea19a62e","resolution":{"observed_at":"2026-07-12T07:18:34.638786Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Variational quantum algorithms,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:593c507849c17bb27f528e5bce0c4ea31a943f121a922d12fd9f782503cf137e","observation_id":"2617ecca-66b9-454c-8e59-27f2e47e600c","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"An adaptive variational algorithm for exact molecular simulations on a quantum computer,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:de3eb67ee3a1ccf8f0190306abdfe9e1f701e5e3dd5c948578dde2350ff63af6","observation_id":"ebeb4ec8-d66c-4849-b62a-fc0704ca83b0","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Available: https://doi.org/10.1038/s41467-019-10988-2","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:e4be4e125e1f30ff4e37adf92cf63fc85d5d1f213a50ff58d905c41f5477afe4","observation_id":"d1b2c4f8-63be-46e0-a817-68d06b9bc036","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:0d1869c163e793c57be27277deb8297a3c3cb5f0bb427d1e7d4e47ad9c8ad012","observation_id":"bb791a2b-5332-4f8a-9b6c-5f59049fae43","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Improving variational quantum optimization using cvar,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:e4af0fe74cc1bc3d2d7c709d18706d39651df67b401629608215680fee5a7551","observation_id":"f787dd97-bdb0-4d1d-9175-bd64745cca55","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.22331/q-2021-05-14-456","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Contextual subspace variational quantum eigensolver,","venue":"Quantum","work_id":"1c10c4d2-ca40-4272-9647-81e833d939bc","year":2021},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:59a285a8ebb81671dc9e9b990d213b9e54884dc42612212aae4b6365519a1cb9","observation_id":"a98cfe98-174a-44a8-bede-39628e060677","resolution":{"observed_at":"2026-07-12T07:18:34.565988Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Harnessing cuda-q’s mps for tensor network simulations of large-scale quantum circuits,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:17ae0b5de6fff2ca107b4877c490e6aa717b92655a5220891eea82e2f75b8de2","observation_id":"3eaab0f4-b112-4c74-a539-ec21d114d78c","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:18:17.584472Z","title":"Error estimates for extrapolations with matrix-product states,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:1e90e16552fe6484b7113d6e9014938c867a4d4317165881128265e54b4cbc7a","observation_id":"a725ef8f-7fc6-41a5-ad3e-727bd8364315","resolution":{"observed_at":"2026-07-12T07:18:17.584472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.22331/q-2025-05-20-1748","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Classical benchmarks for variational quantum eigensolver simulations of the hubbard model,","venue":"Quantum","work_id":"bc7df4d0-b4fb-466e-bb81-af0fadd05def","year":2025},"citing_paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-12T07:18:17.584472Z"},"links":{"citing_paper":"/paper/2607.02749"},"observation_digest":"sha256:169f3d925518088f51dabf02603251a5a10c01366861db3fdccc92f7e3baf797","observation_id":"28775831-0a37-481c-84e8-6f10209f952c","resolution":{"observed_at":"2026-07-12T07:18:34.488462Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.02749","last_updated":"2026-07-02T20:34:32Z","latest_version":1,"primary_category":"cs.ET","snapshot_observed_at":"2026-08-03T05:21:46.714611Z","submitted_at":"2026-07-02T20:34:32Z","title":"Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":2,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":29,"verified_exact":15,"verified_fuzzy":0},"total_outbound_references":48},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"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."}