{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:YBYDEAO4THL2TYII3GA4KV2NVX","short_pith_number":"pith:YBYDEAO4","canonical_record":{"source":{"id":"2608.03702","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-08-04T14:06:59Z","cross_cats_sorted":[],"title_canon_sha256":"64b349d960074b06940a861e6cb44a0b96ef7a037a34a25b3e16d31cb8d46bcd","abstract_canon_sha256":"7c8b259d4c9a5344f87a40e469636bf88475000aa926b75746cfcf89c3c836d1"},"schema_version":"1.0"},"canonical_sha256":"c0703201dc99d7a9e108d981c5574dadc2a1ac631408a36966ed103077a99740","source":{"kind":"arxiv","id":"2608.03702","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.03702","created_at":"2026-08-05T01:36:55Z"},{"alias_kind":"arxiv_version","alias_value":"2608.03702v1","created_at":"2026-08-05T01:36:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.03702","created_at":"2026-08-05T01:36:55Z"},{"alias_kind":"pith_short_12","alias_value":"YBYDEAO4THL2","created_at":"2026-08-05T01:36:55Z"},{"alias_kind":"pith_short_16","alias_value":"YBYDEAO4THL2TYII","created_at":"2026-08-05T01:36:55Z"},{"alias_kind":"pith_short_8","alias_value":"YBYDEAO4","created_at":"2026-08-05T01:36:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:YBYDEAO4THL2TYII3GA4KV2NVX","target":"record","payload":{"canonical_record":{"source":{"id":"2608.03702","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-08-04T14:06:59Z","cross_cats_sorted":[],"title_canon_sha256":"64b349d960074b06940a861e6cb44a0b96ef7a037a34a25b3e16d31cb8d46bcd","abstract_canon_sha256":"7c8b259d4c9a5344f87a40e469636bf88475000aa926b75746cfcf89c3c836d1"},"schema_version":"1.0"},"canonical_sha256":"c0703201dc99d7a9e108d981c5574dadc2a1ac631408a36966ed103077a99740","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-05T01:36:55.665516Z","signature_b64":"eJgB0j+bleGp5gSvqVEhVe0b5Xd0Mju13qoFdrZqf3Ws7R5QUTKYBumh4p/JJXe3DjUcPyMfkRJ9zqpVhYpDAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c0703201dc99d7a9e108d981c5574dadc2a1ac631408a36966ed103077a99740","last_reissued_at":"2026-08-05T01:36:55.664130Z","signature_status":"signed_v1","first_computed_at":"2026-08-05T01:36:55.664130Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.03702","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-05T01:36:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bpwGmGmaIcuz3oiUW+YrwbXzhwGa4BJ0HZ/r2mGQEEkAAeX88skMTierkSkIY+GDTe++ywhTIu/P7UT/RG6DCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T23:58:27.306816Z"},"content_sha256":"fd2f1006730ecf0ceabbe627b4ec0ec3b77c1443d818c9c08ad321d213f43fab","schema_version":"1.0","event_id":"sha256:fd2f1006730ecf0ceabbe627b4ec0ec3b77c1443d818c9c08ad321d213f43fab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:YBYDEAO4THL2TYII3GA4KV2NVX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Inverse Design of Quantum Control Sequences with Fourier Neural Operators","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Anastasia Pipi, Anima Anandkumar, Emily Been, Prineha Narang, Taylor L. Patti, Valentin Duruisseaux, Xuecheng Tao","submitted_at":"2026-08-04T14:06:59Z","abstract_excerpt":"Quantum optimal control is a key tool for steering quantum dynamics, but its computational cost grows rapidly with the Hilbert space dimension. Here, we introduce a Fourier Neural Operator (FNO)-based framework for learning high dimensional molecular quantum dynamics and accelerating the inverse design of control protocols. Given an initial molecular population distribution, laser frequency, and polarization, the FNO predicts molecular-motional population dynamics up to $10^7$ times faster than GPU-accelerated numerical propagation with CUDA-Q Dynamics. Using this fast and differentiable surro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.03702","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2608.03702/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-05T01:36:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cu+OBO5hCg1ZWy8ClNrVFWiHszi/7G2zSDH+x6QSX75q8at/2I7d2tPkm9JORlekDurgefIgl9eV6entCObvBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T23:58:27.307306Z"},"content_sha256":"3a5be920039fb043790ed8e88e6b5f33591b7a4f3def01ac05c661a401914dd3","schema_version":"1.0","event_id":"sha256:3a5be920039fb043790ed8e88e6b5f33591b7a4f3def01ac05c661a401914dd3"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:YBYDEAO4THL2TYII3GA4KV2NVX","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1038/s41467-025-65836-3) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Y. Alexeev, M.H. Farag, and T.L. et al. Patti. Artificial intelligence for quantum computing.Nat Commun, 16 (10829), 2025. doi:https://doi.org/10.1038/s41467-025- 65836-3","arxiv_id":"2608.03702","detector":"doi_compliance","evidence":{"ref_index":32,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1038/s41467-025-","reconstructed_doi":"10.1038/s41467-025-65836-3"},"severity":"advisory","ref_index":32,"audited_at":"2026-08-05T14:38:18.081652Z","event_type":"pith.integrity.v1","detected_doi":"10.1038/s41467-025-65836-3","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"846bdad7c45075730e80a96c984bd81a05f99ef2058f2a6557a54e6928f9a8b0","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":18087,"payload_sha256":"05a4bc7e7a93104396c611c7b7b6ed46479df2d9594fb519db12b64a5a2d3f16","signature_b64":"m2FEKV7SbYtUvoYqreVSvT3aMwZYYtxQJR/PPiU+kU1dXUUKBb4sEpXfGZ+ppXRKBBJVIJej3FdJZM+5JgOIAA==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-05T14:38:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z+i366Aj/AT1GyEQiJV9nB56zhUi1Ie6SSlXM3qU0UrMxX64/JogIEPrmkiYhP4yCfy6pGXX7Q1WvJzhlSjxDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T23:58:27.309610Z"},"content_sha256":"1dde352e1ddabd48bd07dfc0151551203f3219a21a9eb26c9ed87a82b2b6bfd9","schema_version":"1.0","event_id":"sha256:1dde352e1ddabd48bd07dfc0151551203f3219a21a9eb26c9ed87a82b2b6bfd9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YBYDEAO4THL2TYII3GA4KV2NVX/bundle.json","state_url":"https://pith.science/pith/YBYDEAO4THL2TYII3GA4KV2NVX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YBYDEAO4THL2TYII3GA4KV2NVX/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T23:58:27Z","links":{"resolver":"https://pith.science/pith/YBYDEAO4THL2TYII3GA4KV2NVX","bundle":"https://pith.science/pith/YBYDEAO4THL2TYII3GA4KV2NVX/bundle.json","state":"https://pith.science/pith/YBYDEAO4THL2TYII3GA4KV2NVX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YBYDEAO4THL2TYII3GA4KV2NVX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YBYDEAO4THL2TYII3GA4KV2NVX","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"7c8b259d4c9a5344f87a40e469636bf88475000aa926b75746cfcf89c3c836d1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-08-04T14:06:59Z","title_canon_sha256":"64b349d960074b06940a861e6cb44a0b96ef7a037a34a25b3e16d31cb8d46bcd"},"schema_version":"1.0","source":{"id":"2608.03702","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.03702","created_at":"2026-08-05T01:36:55Z"},{"alias_kind":"arxiv_version","alias_value":"2608.03702v1","created_at":"2026-08-05T01:36:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.03702","created_at":"2026-08-05T01:36:55Z"},{"alias_kind":"pith_short_12","alias_value":"YBYDEAO4THL2","created_at":"2026-08-05T01:36:55Z"},{"alias_kind":"pith_short_16","alias_value":"YBYDEAO4THL2TYII","created_at":"2026-08-05T01:36:55Z"},{"alias_kind":"pith_short_8","alias_value":"YBYDEAO4","created_at":"2026-08-05T01:36:55Z"}],"graph_snapshots":[{"event_id":"sha256:3a5be920039fb043790ed8e88e6b5f33591b7a4f3def01ac05c661a401914dd3","target":"graph","created_at":"2026-08-05T01:36:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2608.03702/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantum optimal control is a key tool for steering quantum dynamics, but its computational cost grows rapidly with the Hilbert space dimension. Here, we introduce a Fourier Neural Operator (FNO)-based framework for learning high dimensional molecular quantum dynamics and accelerating the inverse design of control protocols. Given an initial molecular population distribution, laser frequency, and polarization, the FNO predicts molecular-motional population dynamics up to $10^7$ times faster than GPU-accelerated numerical propagation with CUDA-Q Dynamics. Using this fast and differentiable surro","authors_text":"Anastasia Pipi, Anima Anandkumar, Emily Been, Prineha Narang, Taylor L. Patti, Valentin Duruisseaux, Xuecheng Tao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-08-04T14:06:59Z","title":"Inverse Design of Quantum Control Sequences with Fourier Neural Operators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.03702","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:fd2f1006730ecf0ceabbe627b4ec0ec3b77c1443d818c9c08ad321d213f43fab","target":"record","created_at":"2026-08-05T01:36:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"7c8b259d4c9a5344f87a40e469636bf88475000aa926b75746cfcf89c3c836d1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-08-04T14:06:59Z","title_canon_sha256":"64b349d960074b06940a861e6cb44a0b96ef7a037a34a25b3e16d31cb8d46bcd"},"schema_version":"1.0","source":{"id":"2608.03702","kind":"arxiv","version":1}},"canonical_sha256":"c0703201dc99d7a9e108d981c5574dadc2a1ac631408a36966ed103077a99740","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c0703201dc99d7a9e108d981c5574dadc2a1ac631408a36966ed103077a99740","first_computed_at":"2026-08-05T01:36:55.664130Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-05T01:36:55.664130Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eJgB0j+bleGp5gSvqVEhVe0b5Xd0Mju13qoFdrZqf3Ws7R5QUTKYBumh4p/JJXe3DjUcPyMfkRJ9zqpVhYpDAQ==","signature_status":"signed_v1","signed_at":"2026-08-05T01:36:55.665516Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.03702","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd2f1006730ecf0ceabbe627b4ec0ec3b77c1443d818c9c08ad321d213f43fab","sha256:3a5be920039fb043790ed8e88e6b5f33591b7a4f3def01ac05c661a401914dd3","sha256:1dde352e1ddabd48bd07dfc0151551203f3219a21a9eb26c9ed87a82b2b6bfd9"],"state_sha256":"247b920a1b889565cd47deb64a9fc0f7599ffe1aba25e9047ea1b7e370cd37f9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UYYRbb9upaKKlq7e6jFzcYKZh75fBOrLIBhLccJdHo8LhPqIDdS1w9r2BvRcZOusmHLGPy+BaRyD05UKwKCUBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T23:58:27.311832Z","bundle_sha256":"c00fbe8e7cbfab7edd0c37648f9cf91186f1626355f559eacf2a0fb48175f149"}}