{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:Q4JGJONH5OFV42NAPI6TNPWCVT","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"17876bdf09c1886d0e07232b677ecfefe5a3e1651879169d1c77567c30b79eea","cross_cats_sorted":["cond-mat.str-el","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-09-24T18:00:00Z","title_canon_sha256":"6a381f350036633a0f40276f3d41393f4fd692a3c40fd8409127e7f6b9c0a716"},"schema_version":"1.0","source":{"id":"2409.16346","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.16346","created_at":"2026-07-05T09:11:31Z"},{"alias_kind":"arxiv_version","alias_value":"2409.16346v1","created_at":"2026-07-05T09:11:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.16346","created_at":"2026-07-05T09:11:31Z"},{"alias_kind":"pith_short_12","alias_value":"Q4JGJONH5OFV","created_at":"2026-07-05T09:11:31Z"},{"alias_kind":"pith_short_16","alias_value":"Q4JGJONH5OFV42NA","created_at":"2026-07-05T09:11:31Z"},{"alias_kind":"pith_short_8","alias_value":"Q4JGJONH","created_at":"2026-07-05T09:11:31Z"}],"graph_snapshots":[{"event_id":"sha256:b8976ef33cba624b37a1dc6d9848ec6521365d03160da5a77326967029f5eb81","target":"graph","created_at":"2026-07-05T09:11:31Z","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/2409.16346/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantum dynamics compilation is an important task for improving quantum simulation efficiency: It aims to synthesize multi-qubit target dynamics into a circuit consisting of as few elementary gates as possible. Compared to deterministic methods such as Trotterization, variational quantum compilation (VQC) methods employ variational optimization to reduce gate costs while maintaining high accuracy. In this work, we explore the potential of a VQC scheme by making use of out-of-distribution generalization results in quantum machine learning (QML): By learning the action of a given many-body dynam","authors_text":"Juan Carrasquilla, Lukasz Cincio, Roeland Wiersema, Yong Baek Kim, Yuxuan Zhang","cross_cats":["cond-mat.str-el","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-09-24T18:00:00Z","title":"Scalable quantum dynamics compilation via quantum machine learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.16346","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:ad9d7b5428b5858b3549a6a5872cb724eb2f6a5320ecb1695c06bdf1de6379fc","target":"record","created_at":"2026-07-05T09:11:31Z","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":"17876bdf09c1886d0e07232b677ecfefe5a3e1651879169d1c77567c30b79eea","cross_cats_sorted":["cond-mat.str-el","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-09-24T18:00:00Z","title_canon_sha256":"6a381f350036633a0f40276f3d41393f4fd692a3c40fd8409127e7f6b9c0a716"},"schema_version":"1.0","source":{"id":"2409.16346","kind":"arxiv","version":1}},"canonical_sha256":"871264b9a7eb8b5e69a07a3d36bec2acda28fd4f2deb900d3b53e06c5faa3089","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"871264b9a7eb8b5e69a07a3d36bec2acda28fd4f2deb900d3b53e06c5faa3089","first_computed_at":"2026-07-05T09:11:31.918354Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:11:31.918354Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zLtS2x+5ZUjs/aOTuzE9SOJxGncjhEtt9pARYKuv2e5k4xt8uaVcf/0IQmzEv3iB6mWuKk5yGwVupPcRbwtjBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:11:31.918837Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.16346","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ad9d7b5428b5858b3549a6a5872cb724eb2f6a5320ecb1695c06bdf1de6379fc","sha256:b8976ef33cba624b37a1dc6d9848ec6521365d03160da5a77326967029f5eb81"],"state_sha256":"4296f9f8bb2651f68d852c4bccb0f3313d85fbbbbba2a6ab28d57d721d8dc6f1"}