{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:GQBEGSDNRCHWD6CJXY74UUSEUN","short_pith_number":"pith:GQBEGSDN","canonical_record":{"source":{"id":"1910.03591","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-10-08T18:00:01Z","cross_cats_sorted":["physics.app-ph"],"title_canon_sha256":"af2d782b3faea5a242a017f77911c7a98a46a13d4f4014ab99b8ab1650efd75c","abstract_canon_sha256":"e0e7a443440ff0763dfa645256460ca6d55dabd5cd87f222926b78e3ef4a4f0a"},"schema_version":"1.0"},"canonical_sha256":"340243486d888f61f849be3fca5244a35a9318b92f03e255dc31f8b479b39b15","source":{"kind":"arxiv","id":"1910.03591","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.03591","created_at":"2026-07-05T00:11:05Z"},{"alias_kind":"arxiv_version","alias_value":"1910.03591v2","created_at":"2026-07-05T00:11:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.03591","created_at":"2026-07-05T00:11:05Z"},{"alias_kind":"pith_short_12","alias_value":"GQBEGSDNRCHW","created_at":"2026-07-05T00:11:05Z"},{"alias_kind":"pith_short_16","alias_value":"GQBEGSDNRCHWD6CJ","created_at":"2026-07-05T00:11:05Z"},{"alias_kind":"pith_short_8","alias_value":"GQBEGSDN","created_at":"2026-07-05T00:11:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:GQBEGSDNRCHWD6CJXY74UUSEUN","target":"record","payload":{"canonical_record":{"source":{"id":"1910.03591","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-10-08T18:00:01Z","cross_cats_sorted":["physics.app-ph"],"title_canon_sha256":"af2d782b3faea5a242a017f77911c7a98a46a13d4f4014ab99b8ab1650efd75c","abstract_canon_sha256":"e0e7a443440ff0763dfa645256460ca6d55dabd5cd87f222926b78e3ef4a4f0a"},"schema_version":"1.0"},"canonical_sha256":"340243486d888f61f849be3fca5244a35a9318b92f03e255dc31f8b479b39b15","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:11:05.357907Z","signature_b64":"WoblQfYMF+hobTdGvaa2WpAnx7vys3qyVxoUD6TlY+0Mc/5WbuRnTwZxJzNai+soQqCFgbSgL9wja9W4/6znAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"340243486d888f61f849be3fca5244a35a9318b92f03e255dc31f8b479b39b15","last_reissued_at":"2026-07-05T00:11:05.357520Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:11:05.357520Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1910.03591","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:11:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KXvfabARL+8JFc//RUPZOyKgFyBXPW7gBfijlA1sB5gw7JNUXRX7d2vl95VhgaaIDCVXtvgc5dTCf8Pb3AVADw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T08:53:45.450789Z"},"content_sha256":"71b20c4b2df9cf774c5a3834a4ec408c5dc84bc521f2c622d3f0d80b86a2aeec","schema_version":"1.0","event_id":"sha256:71b20c4b2df9cf774c5a3834a4ec408c5dc84bc521f2c622d3f0d80b86a2aeec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:GQBEGSDNRCHWD6CJXY74UUSEUN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust and efficient algorithms for high-dimensional black-box quantum optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.app-ph"],"primary_cat":"quant-ph","authors_text":"Andrew Houck, Pranav Mundada, Saeed Ghadimi, Zhaoqi Leng","submitted_at":"2019-10-08T18:00:01Z","abstract_excerpt":"Hybrid quantum-classical optimization using near-term quantum technology is an emerging direction for exploring quantum advantage in high-dimensional systems. However, precise characterization of all experimental parameters is often impractical and challenging. A viable approach is to use algorithms that rely only on black-box inference rather than analytical gradients. Here, we combine randomized perturbation gradient estimation with adaptive momentum gradient updates to create the AdamSPSA and AdamRSGF algorithms. We prove the asymptotic convergence of our algorithms in a convex setting, and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.03591","kind":"arxiv","version":2},"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/1910.03591/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":"2026-07-05T00:11:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r8jZ6taKe/r5k/KPUceaLvTekwj75bmAFdD6HdaRAhgJQxOovr3dWLDzaXdPr8dyldUXN7zJH5G8J5HA7xQ2Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T08:53:45.451199Z"},"content_sha256":"9c790ecc3148ffcb614b1a60d2cac7d79624871e417a587db2372c260deaccd3","schema_version":"1.0","event_id":"sha256:9c790ecc3148ffcb614b1a60d2cac7d79624871e417a587db2372c260deaccd3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GQBEGSDNRCHWD6CJXY74UUSEUN/bundle.json","state_url":"https://pith.science/pith/GQBEGSDNRCHWD6CJXY74UUSEUN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GQBEGSDNRCHWD6CJXY74UUSEUN/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":"2026-08-04T08:53:45Z","links":{"resolver":"https://pith.science/pith/GQBEGSDNRCHWD6CJXY74UUSEUN","bundle":"https://pith.science/pith/GQBEGSDNRCHWD6CJXY74UUSEUN/bundle.json","state":"https://pith.science/pith/GQBEGSDNRCHWD6CJXY74UUSEUN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GQBEGSDNRCHWD6CJXY74UUSEUN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:GQBEGSDNRCHWD6CJXY74UUSEUN","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":"e0e7a443440ff0763dfa645256460ca6d55dabd5cd87f222926b78e3ef4a4f0a","cross_cats_sorted":["physics.app-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-10-08T18:00:01Z","title_canon_sha256":"af2d782b3faea5a242a017f77911c7a98a46a13d4f4014ab99b8ab1650efd75c"},"schema_version":"1.0","source":{"id":"1910.03591","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.03591","created_at":"2026-07-05T00:11:05Z"},{"alias_kind":"arxiv_version","alias_value":"1910.03591v2","created_at":"2026-07-05T00:11:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.03591","created_at":"2026-07-05T00:11:05Z"},{"alias_kind":"pith_short_12","alias_value":"GQBEGSDNRCHW","created_at":"2026-07-05T00:11:05Z"},{"alias_kind":"pith_short_16","alias_value":"GQBEGSDNRCHWD6CJ","created_at":"2026-07-05T00:11:05Z"},{"alias_kind":"pith_short_8","alias_value":"GQBEGSDN","created_at":"2026-07-05T00:11:05Z"}],"graph_snapshots":[{"event_id":"sha256:9c790ecc3148ffcb614b1a60d2cac7d79624871e417a587db2372c260deaccd3","target":"graph","created_at":"2026-07-05T00:11:05Z","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/1910.03591/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Hybrid quantum-classical optimization using near-term quantum technology is an emerging direction for exploring quantum advantage in high-dimensional systems. However, precise characterization of all experimental parameters is often impractical and challenging. A viable approach is to use algorithms that rely only on black-box inference rather than analytical gradients. Here, we combine randomized perturbation gradient estimation with adaptive momentum gradient updates to create the AdamSPSA and AdamRSGF algorithms. We prove the asymptotic convergence of our algorithms in a convex setting, and","authors_text":"Andrew Houck, Pranav Mundada, Saeed Ghadimi, Zhaoqi Leng","cross_cats":["physics.app-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-10-08T18:00:01Z","title":"Robust and efficient algorithms for high-dimensional black-box quantum optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.03591","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":"sha256:71b20c4b2df9cf774c5a3834a4ec408c5dc84bc521f2c622d3f0d80b86a2aeec","target":"record","created_at":"2026-07-05T00:11:05Z","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":"e0e7a443440ff0763dfa645256460ca6d55dabd5cd87f222926b78e3ef4a4f0a","cross_cats_sorted":["physics.app-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-10-08T18:00:01Z","title_canon_sha256":"af2d782b3faea5a242a017f77911c7a98a46a13d4f4014ab99b8ab1650efd75c"},"schema_version":"1.0","source":{"id":"1910.03591","kind":"arxiv","version":2}},"canonical_sha256":"340243486d888f61f849be3fca5244a35a9318b92f03e255dc31f8b479b39b15","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"340243486d888f61f849be3fca5244a35a9318b92f03e255dc31f8b479b39b15","first_computed_at":"2026-07-05T00:11:05.357520Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:11:05.357520Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WoblQfYMF+hobTdGvaa2WpAnx7vys3qyVxoUD6TlY+0Mc/5WbuRnTwZxJzNai+soQqCFgbSgL9wja9W4/6znAA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:11:05.357907Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.03591","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71b20c4b2df9cf774c5a3834a4ec408c5dc84bc521f2c622d3f0d80b86a2aeec","sha256:9c790ecc3148ffcb614b1a60d2cac7d79624871e417a587db2372c260deaccd3"],"state_sha256":"e712d3f94a90ea7aa654c083f739c2aad0d3fb8ef52f37ebc88d3d044e735840"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5qgxmmuQ+g+unxeqydJ73qTwLAh+V5acz1gR6GrLlh/h0Pa4Sfjy1HOvDGtqTXYlHj2CDIuMBaPMc+xxfyzoDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T08:53:45.453956Z","bundle_sha256":"a7387fe0f1e38b4ad0d6d98fabfc5a77d098c79cc8e422bb444e8f89495e4585"}}