{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:LCYXRPOVRZDE2IUSHGH5URXRBU","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":"6f81f18a9c79bb737b5b1a4ac1f0a02ceaf559d75d1c004736fc035097f3715e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-12-17T10:59:16Z","title_canon_sha256":"11ff28b53831fffea1539d7a5bfb2130e74f9d19d2fa0ad091d979206433d325"},"schema_version":"1.0","source":{"id":"1812.06693","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.06693","created_at":"2026-05-17T23:58:09Z"},{"alias_kind":"arxiv_version","alias_value":"1812.06693v1","created_at":"2026-05-17T23:58:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.06693","created_at":"2026-05-17T23:58:09Z"},{"alias_kind":"pith_short_12","alias_value":"LCYXRPOVRZDE","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LCYXRPOVRZDE2IUS","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LCYXRPOV","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:fbb17f0275b227e4d59fe422923c2e12024183a65a5d5bfdd88d4f147cdff41b","target":"graph","created_at":"2026-05-17T23:58:09Z","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"},"paper":{"abstract_excerpt":"Quantum State Tomography is the task of determining an unknown quantum state by making measurements on identical copies of the state. Current algorithms are costly both on the experimental front -- requiring vast numbers of measurements -- as well as in terms of the computational time to analyze those measurements. In this paper, we address the problem of analysis speed and flexibility, introducing \\textit{Neural Adaptive Quantum State Tomography} (NA-QST), a machine learning based algorithm for quantum state tomography that adapts measurements and provides orders of magnitude faster processin","authors_text":"Hui Khoon Ng, Stanislav Fort, Yihui Quek","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-12-17T10:59:16Z","title":"Adaptive Quantum State Tomography with Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.06693","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":"sha256:22e1dc15fae43cecd6d5eabbe09e4c4c4eac5fe940f8528a0665cccd8e9c61f5","target":"record","created_at":"2026-05-17T23:58:09Z","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":"6f81f18a9c79bb737b5b1a4ac1f0a02ceaf559d75d1c004736fc035097f3715e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-12-17T10:59:16Z","title_canon_sha256":"11ff28b53831fffea1539d7a5bfb2130e74f9d19d2fa0ad091d979206433d325"},"schema_version":"1.0","source":{"id":"1812.06693","kind":"arxiv","version":1}},"canonical_sha256":"58b178bdd58e464d2292398fda46f10d1b8e21e4e8baf05cb79688325d561ad6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"58b178bdd58e464d2292398fda46f10d1b8e21e4e8baf05cb79688325d561ad6","first_computed_at":"2026-05-17T23:58:09.554397Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:58:09.554397Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"03y+0fA3tDJi8o81f75fJlPCSvtBtBnLFl8qdihlHNdp9BOD2R1InySwG4rcnMJPzliBb2QO9w90A6hxfwzQCA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:58:09.555151Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.06693","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22e1dc15fae43cecd6d5eabbe09e4c4c4eac5fe940f8528a0665cccd8e9c61f5","sha256:fbb17f0275b227e4d59fe422923c2e12024183a65a5d5bfdd88d4f147cdff41b"],"state_sha256":"df9f9538af96b400af9596aaade25039ef123b34d7485f190038c35e2a28c375"}