{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ECPS7HAEQUATQAKJXVDUCWQWYX","short_pith_number":"pith:ECPS7HAE","canonical_record":{"source":{"id":"2312.15791","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2023-12-25T18:58:20Z","cross_cats_sorted":[],"title_canon_sha256":"54c14fa4759e91eb811fec49d555f4e7e1e4afb8b48c32f589313465c050979e","abstract_canon_sha256":"cfb18520d92a153c44c20003e78b09f9904f1da915953f21fe48defdf908d009"},"schema_version":"1.0"},"canonical_sha256":"209f2f9c048501380149bd47415a16c5d47c780a69c07cbe6174911b2dbbd3c1","source":{"kind":"arxiv","id":"2312.15791","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.15791","created_at":"2026-07-05T07:28:01Z"},{"alias_kind":"arxiv_version","alias_value":"2312.15791v1","created_at":"2026-07-05T07:28:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.15791","created_at":"2026-07-05T07:28:01Z"},{"alias_kind":"pith_short_12","alias_value":"ECPS7HAEQUAT","created_at":"2026-07-05T07:28:01Z"},{"alias_kind":"pith_short_16","alias_value":"ECPS7HAEQUATQAKJ","created_at":"2026-07-05T07:28:01Z"},{"alias_kind":"pith_short_8","alias_value":"ECPS7HAE","created_at":"2026-07-05T07:28:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ECPS7HAEQUATQAKJXVDUCWQWYX","target":"record","payload":{"canonical_record":{"source":{"id":"2312.15791","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2023-12-25T18:58:20Z","cross_cats_sorted":[],"title_canon_sha256":"54c14fa4759e91eb811fec49d555f4e7e1e4afb8b48c32f589313465c050979e","abstract_canon_sha256":"cfb18520d92a153c44c20003e78b09f9904f1da915953f21fe48defdf908d009"},"schema_version":"1.0"},"canonical_sha256":"209f2f9c048501380149bd47415a16c5d47c780a69c07cbe6174911b2dbbd3c1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:28:01.398953Z","signature_b64":"HZE1vXfNzDsJhZQ5js3dLhGR2rtY1cZ9HIErNiP0bLn9j3GvzlhVYvIH1rxX8sl/v/ET8exf/suYnpi2YZU0Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"209f2f9c048501380149bd47415a16c5d47c780a69c07cbe6174911b2dbbd3c1","last_reissued_at":"2026-07-05T07:28:01.398517Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:28:01.398517Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.15791","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":"2026-07-05T07:28:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dzZSwXhCXy9fNHeng5VTny/QwAagV8jO/BYArJPwtAadAHyNrQF+QBj7MpzlsabauHd6GtGgLpD+Kor0cA6yCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T13:03:22.724231Z"},"content_sha256":"009973dac44a504a3c64c61990b11b42b875006d7f36409e796ac1836afbde37","schema_version":"1.0","event_id":"sha256:009973dac44a504a3c64c61990b11b42b875006d7f36409e796ac1836afbde37"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ECPS7HAEQUATQAKJXVDUCWQWYX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SantaQlaus: A resource-efficient method to leverage quantum shot-noise for optimization of variational quantum algorithms","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Keisuke Fujii, Kosuke Ito","submitted_at":"2023-12-25T18:58:20Z","abstract_excerpt":"We introduce SantaQlaus, a resource-efficient optimization algorithm tailored for variational quantum algorithms (VQAs), including applications in the variational quantum eigensolver (VQE) and quantum machine learning (QML). Classical optimization strategies for VQAs are often hindered by the complex landscapes of local minima and saddle points. Although some existing quantum-aware optimizers adaptively adjust the number of measurement shots, their primary focus is on maximizing gain per iteration rather than strategically utilizing quantum shot-noise (QSN) to address these challenges. Inspire"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.15791","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/2312.15791/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":"2026-07-05T07:28:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jFRR/HcdatV8UiDZBVt94iLOdx4mmthBz8rCFioCZRLY/VJjfb0tt6H/0lHYJODwvRcD6OiO2dAN5pCWwlhfAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T13:03:22.725242Z"},"content_sha256":"9723cd36394bfb4b69647951027bd46e461d0e47b6812e445f218a86f32e4531","schema_version":"1.0","event_id":"sha256:9723cd36394bfb4b69647951027bd46e461d0e47b6812e445f218a86f32e4531"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ECPS7HAEQUATQAKJXVDUCWQWYX/bundle.json","state_url":"https://pith.science/pith/ECPS7HAEQUATQAKJXVDUCWQWYX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ECPS7HAEQUATQAKJXVDUCWQWYX/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":"2026-08-14T13:03:22Z","links":{"resolver":"https://pith.science/pith/ECPS7HAEQUATQAKJXVDUCWQWYX","bundle":"https://pith.science/pith/ECPS7HAEQUATQAKJXVDUCWQWYX/bundle.json","state":"https://pith.science/pith/ECPS7HAEQUATQAKJXVDUCWQWYX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ECPS7HAEQUATQAKJXVDUCWQWYX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ECPS7HAEQUATQAKJXVDUCWQWYX","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":"cfb18520d92a153c44c20003e78b09f9904f1da915953f21fe48defdf908d009","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2023-12-25T18:58:20Z","title_canon_sha256":"54c14fa4759e91eb811fec49d555f4e7e1e4afb8b48c32f589313465c050979e"},"schema_version":"1.0","source":{"id":"2312.15791","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.15791","created_at":"2026-07-05T07:28:01Z"},{"alias_kind":"arxiv_version","alias_value":"2312.15791v1","created_at":"2026-07-05T07:28:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.15791","created_at":"2026-07-05T07:28:01Z"},{"alias_kind":"pith_short_12","alias_value":"ECPS7HAEQUAT","created_at":"2026-07-05T07:28:01Z"},{"alias_kind":"pith_short_16","alias_value":"ECPS7HAEQUATQAKJ","created_at":"2026-07-05T07:28:01Z"},{"alias_kind":"pith_short_8","alias_value":"ECPS7HAE","created_at":"2026-07-05T07:28:01Z"}],"graph_snapshots":[{"event_id":"sha256:9723cd36394bfb4b69647951027bd46e461d0e47b6812e445f218a86f32e4531","target":"graph","created_at":"2026-07-05T07:28:01Z","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/2312.15791/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce SantaQlaus, a resource-efficient optimization algorithm tailored for variational quantum algorithms (VQAs), including applications in the variational quantum eigensolver (VQE) and quantum machine learning (QML). Classical optimization strategies for VQAs are often hindered by the complex landscapes of local minima and saddle points. Although some existing quantum-aware optimizers adaptively adjust the number of measurement shots, their primary focus is on maximizing gain per iteration rather than strategically utilizing quantum shot-noise (QSN) to address these challenges. Inspire","authors_text":"Keisuke Fujii, Kosuke Ito","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2023-12-25T18:58:20Z","title":"SantaQlaus: A resource-efficient method to leverage quantum shot-noise for optimization of variational quantum algorithms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.15791","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":"sha256:009973dac44a504a3c64c61990b11b42b875006d7f36409e796ac1836afbde37","target":"record","created_at":"2026-07-05T07:28:01Z","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":"cfb18520d92a153c44c20003e78b09f9904f1da915953f21fe48defdf908d009","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2023-12-25T18:58:20Z","title_canon_sha256":"54c14fa4759e91eb811fec49d555f4e7e1e4afb8b48c32f589313465c050979e"},"schema_version":"1.0","source":{"id":"2312.15791","kind":"arxiv","version":1}},"canonical_sha256":"209f2f9c048501380149bd47415a16c5d47c780a69c07cbe6174911b2dbbd3c1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"209f2f9c048501380149bd47415a16c5d47c780a69c07cbe6174911b2dbbd3c1","first_computed_at":"2026-07-05T07:28:01.398517Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:28:01.398517Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HZE1vXfNzDsJhZQ5js3dLhGR2rtY1cZ9HIErNiP0bLn9j3GvzlhVYvIH1rxX8sl/v/ET8exf/suYnpi2YZU0Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:28:01.398953Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.15791","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:009973dac44a504a3c64c61990b11b42b875006d7f36409e796ac1836afbde37","sha256:9723cd36394bfb4b69647951027bd46e461d0e47b6812e445f218a86f32e4531"],"state_sha256":"20cde62d968c4e81543534357ffc8e7cade46c6f8c6ba773e1b70fa893310be5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DVPnr5jRrPn7VZ5IMlvMNX1zxeZACvETEeqKjU37P1vcDk/n+mxHFAyGIxhdSmiL91iEUszgS6Wg0wLMFhd9CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T13:03:22.733417Z","bundle_sha256":"3ed12e50405579ba3921b57493e68c7f5db3b6dec59e6be0686b79a47b7e9c5c"}}