{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:67RN4E36AG5HJC5YZYQ6VHXZAW","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":"ec44ed3de77ec7aa5bf74962bb2ecc5ceccf55ea632de3fc150996acb30aca23","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"quant-ph","submitted_at":"2024-07-20T05:52:27Z","title_canon_sha256":"b5e7f923b2462848739e1c8ea98093dcaf861c550f35fd03b9dabb39424f9ffa"},"schema_version":"1.0","source":{"id":"2407.14761","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.14761","created_at":"2026-07-05T08:47:55Z"},{"alias_kind":"arxiv_version","alias_value":"2407.14761v2","created_at":"2026-07-05T08:47:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.14761","created_at":"2026-07-05T08:47:55Z"},{"alias_kind":"pith_short_12","alias_value":"67RN4E36AG5H","created_at":"2026-07-05T08:47:55Z"},{"alias_kind":"pith_short_16","alias_value":"67RN4E36AG5HJC5Y","created_at":"2026-07-05T08:47:55Z"},{"alias_kind":"pith_short_8","alias_value":"67RN4E36","created_at":"2026-07-05T08:47:55Z"}],"graph_snapshots":[{"event_id":"sha256:d1cd67f66792f489b016aa054a5ba77584054b9978e0898dc540570b9906c73d","target":"graph","created_at":"2026-07-05T08:47:55Z","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/2407.14761/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Before the advent of fault-tolerant quantum computers, variational quantum algorithms (VQAs) play a crucial role in noisy intermediate-scale quantum (NISQ) machines. Conventionally, the optimization of VQAs predominantly relies on manually designed optimizers. However, learning to optimize (L2O) demonstrates impressive performance by training small neural networks to replace handcrafted optimizers. In our work, we propose L2O-$g^{\\dagger}$, a $\\textit{quantum-aware}$ learned optimizer that leverages the Fubini-Study metric tensor ($g^{\\dagger}$) and long short-term memory networks. We theoreti","authors_text":"Hsi-Sheng Goan, Yu-Chao Huang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"quant-ph","submitted_at":"2024-07-20T05:52:27Z","title":"L2O-$g^{\\dagger}$: Learning to Optimize Parameterized Quantum Circuits with Fubini-Study Metric Tensor"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.14761","kind":"arxiv","version":2},"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":"sha256:5d0fda0fa481bf42eff4f3ad5355a3bbb67fa4cd4900de3220d54868b1d09860","target":"record","created_at":"2026-07-05T08:47:55Z","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":"ec44ed3de77ec7aa5bf74962bb2ecc5ceccf55ea632de3fc150996acb30aca23","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"quant-ph","submitted_at":"2024-07-20T05:52:27Z","title_canon_sha256":"b5e7f923b2462848739e1c8ea98093dcaf861c550f35fd03b9dabb39424f9ffa"},"schema_version":"1.0","source":{"id":"2407.14761","kind":"arxiv","version":2}},"canonical_sha256":"f7e2de137e01ba748bb8ce21ea9ef905bfdf3181c985c85f79d05ff8f5355ccb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f7e2de137e01ba748bb8ce21ea9ef905bfdf3181c985c85f79d05ff8f5355ccb","first_computed_at":"2026-07-05T08:47:55.127297Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:47:55.127297Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EAm/9t8SDfhocmPkGZjS7OpKBHELJQj2VL1qNu6oTulrfYQfIZJs8hhPgBNi+RmqFTQCOzJ53gxOyyV/78NZBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:47:55.127711Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.14761","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5d0fda0fa481bf42eff4f3ad5355a3bbb67fa4cd4900de3220d54868b1d09860","sha256:d1cd67f66792f489b016aa054a5ba77584054b9978e0898dc540570b9906c73d"],"state_sha256":"b940a3e9e4ed93a48c18ce5985cc4568c43241b139c60a10f917c831bb3151a5"}