{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:GHFMXIF4ANLG5POMJVPRECTRO6","short_pith_number":"pith:GHFMXIF4","canonical_record":{"source":{"id":"2006.04594","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2020-06-08T13:42:35Z","cross_cats_sorted":[],"title_canon_sha256":"1f01225cd957d740ccad4960c4ae4a3dbae4512f5da455ebb89aa4517b0bf820","abstract_canon_sha256":"458cb8fec1b89f9387b9a9b7041d868dbd0dda928e2cef1cf7add84ff69bc65f"},"schema_version":"1.0"},"canonical_sha256":"31cacba0bc03566ebdcc4d5f120a7177940a992bd336e701ad284ad730a207ed","source":{"kind":"arxiv","id":"2006.04594","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.04594","created_at":"2026-07-05T01:15:19Z"},{"alias_kind":"arxiv_version","alias_value":"2006.04594v1","created_at":"2026-07-05T01:15:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.04594","created_at":"2026-07-05T01:15:19Z"},{"alias_kind":"pith_short_12","alias_value":"GHFMXIF4ANLG","created_at":"2026-07-05T01:15:19Z"},{"alias_kind":"pith_short_16","alias_value":"GHFMXIF4ANLG5POM","created_at":"2026-07-05T01:15:19Z"},{"alias_kind":"pith_short_8","alias_value":"GHFMXIF4","created_at":"2026-07-05T01:15:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:GHFMXIF4ANLG5POMJVPRECTRO6","target":"record","payload":{"canonical_record":{"source":{"id":"2006.04594","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2020-06-08T13:42:35Z","cross_cats_sorted":[],"title_canon_sha256":"1f01225cd957d740ccad4960c4ae4a3dbae4512f5da455ebb89aa4517b0bf820","abstract_canon_sha256":"458cb8fec1b89f9387b9a9b7041d868dbd0dda928e2cef1cf7add84ff69bc65f"},"schema_version":"1.0"},"canonical_sha256":"31cacba0bc03566ebdcc4d5f120a7177940a992bd336e701ad284ad730a207ed","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:15:19.842332Z","signature_b64":"dGZmrNjXITdQAo9udH/UyCt0ldEPHSJtwvL5vKJBqVAFqCdufCxIYjboCUys2ADk0Qzuc5ZydecN5wtw3ZsWCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"31cacba0bc03566ebdcc4d5f120a7177940a992bd336e701ad284ad730a207ed","last_reissued_at":"2026-07-05T01:15:19.841827Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:15:19.841827Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.04594","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":"2026-07-05T01:15:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lUXOGy5SlcCdL0leuAFc+gqAApz5BV1bhi/LV9RC1FLgPWMj5MnCKvuauLhIiV2ykNu9iHkRqkKafWgXxPvBBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-23T12:25:08.004949Z"},"content_sha256":"1b7b0adb308c500d9dbc6b40fb1abc72d5d993f5499e1de82367b9c3486cddc0","schema_version":"1.0","event_id":"sha256:1b7b0adb308c500d9dbc6b40fb1abc72d5d993f5499e1de82367b9c3486cddc0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:GHFMXIF4ANLG5POMJVPRECTRO6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Snake Optimizer for Learning Quantum Processor Control Parameters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Hartmut Neven, John M. Martinis, Julian Kelly, Paul V. Klimov","submitted_at":"2020-06-08T13:42:35Z","abstract_excerpt":"High performance quantum computing requires a calibration system that learns optimal control parameters much faster than system drift. In some cases, the learning procedure requires solving complex optimization problems that are non-convex, high-dimensional, highly constrained, and have astronomical search spaces. Such problems pose an obstacle for scalability since traditional global optimizers are often too inefficient and slow for even small-scale processors comprising tens of qubits. In this whitepaper, we introduce the Snake Optimizer for efficiently and quickly solving such optimization "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.04594","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/2006.04594/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":"2026-07-05T01:15:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h4iKdCz5sTuzMXgqpJrAbM382L+CUNN4qiLxUadexjhKCfzG5Is29IDKz2yxnNZ8ylI3CRhUT/LIvW7enKz4DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-23T12:25:08.005339Z"},"content_sha256":"1374261134f01cafccd5a6209f6f19698d9ceecdd2741045a0ae69db8f003438","schema_version":"1.0","event_id":"sha256:1374261134f01cafccd5a6209f6f19698d9ceecdd2741045a0ae69db8f003438"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GHFMXIF4ANLG5POMJVPRECTRO6/bundle.json","state_url":"https://pith.science/pith/GHFMXIF4ANLG5POMJVPRECTRO6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GHFMXIF4ANLG5POMJVPRECTRO6/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":"2026-07-23T12:25:08Z","links":{"resolver":"https://pith.science/pith/GHFMXIF4ANLG5POMJVPRECTRO6","bundle":"https://pith.science/pith/GHFMXIF4ANLG5POMJVPRECTRO6/bundle.json","state":"https://pith.science/pith/GHFMXIF4ANLG5POMJVPRECTRO6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GHFMXIF4ANLG5POMJVPRECTRO6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:GHFMXIF4ANLG5POMJVPRECTRO6","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":"458cb8fec1b89f9387b9a9b7041d868dbd0dda928e2cef1cf7add84ff69bc65f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2020-06-08T13:42:35Z","title_canon_sha256":"1f01225cd957d740ccad4960c4ae4a3dbae4512f5da455ebb89aa4517b0bf820"},"schema_version":"1.0","source":{"id":"2006.04594","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.04594","created_at":"2026-07-05T01:15:19Z"},{"alias_kind":"arxiv_version","alias_value":"2006.04594v1","created_at":"2026-07-05T01:15:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.04594","created_at":"2026-07-05T01:15:19Z"},{"alias_kind":"pith_short_12","alias_value":"GHFMXIF4ANLG","created_at":"2026-07-05T01:15:19Z"},{"alias_kind":"pith_short_16","alias_value":"GHFMXIF4ANLG5POM","created_at":"2026-07-05T01:15:19Z"},{"alias_kind":"pith_short_8","alias_value":"GHFMXIF4","created_at":"2026-07-05T01:15:19Z"}],"graph_snapshots":[{"event_id":"sha256:1374261134f01cafccd5a6209f6f19698d9ceecdd2741045a0ae69db8f003438","target":"graph","created_at":"2026-07-05T01:15:19Z","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/2006.04594/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High performance quantum computing requires a calibration system that learns optimal control parameters much faster than system drift. In some cases, the learning procedure requires solving complex optimization problems that are non-convex, high-dimensional, highly constrained, and have astronomical search spaces. Such problems pose an obstacle for scalability since traditional global optimizers are often too inefficient and slow for even small-scale processors comprising tens of qubits. In this whitepaper, we introduce the Snake Optimizer for efficiently and quickly solving such optimization ","authors_text":"Hartmut Neven, John M. Martinis, Julian Kelly, Paul V. Klimov","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2020-06-08T13:42:35Z","title":"The Snake Optimizer for Learning Quantum Processor Control Parameters"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.04594","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":"sha256:1b7b0adb308c500d9dbc6b40fb1abc72d5d993f5499e1de82367b9c3486cddc0","target":"record","created_at":"2026-07-05T01:15:19Z","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":"458cb8fec1b89f9387b9a9b7041d868dbd0dda928e2cef1cf7add84ff69bc65f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2020-06-08T13:42:35Z","title_canon_sha256":"1f01225cd957d740ccad4960c4ae4a3dbae4512f5da455ebb89aa4517b0bf820"},"schema_version":"1.0","source":{"id":"2006.04594","kind":"arxiv","version":1}},"canonical_sha256":"31cacba0bc03566ebdcc4d5f120a7177940a992bd336e701ad284ad730a207ed","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"31cacba0bc03566ebdcc4d5f120a7177940a992bd336e701ad284ad730a207ed","first_computed_at":"2026-07-05T01:15:19.841827Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:15:19.841827Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dGZmrNjXITdQAo9udH/UyCt0ldEPHSJtwvL5vKJBqVAFqCdufCxIYjboCUys2ADk0Qzuc5ZydecN5wtw3ZsWCg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:15:19.842332Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.04594","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1b7b0adb308c500d9dbc6b40fb1abc72d5d993f5499e1de82367b9c3486cddc0","sha256:1374261134f01cafccd5a6209f6f19698d9ceecdd2741045a0ae69db8f003438"],"state_sha256":"7cf8c53e5d1b9f6d66d047d94cc6378bd5e592fe42cfa30c1bbcd95e05913f7e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rtey8UzC4y0WPCR/8ICG9QwMcQmhN2GBmapmhCc7nJLd+okfpWII14A+8kF1ULNnybOyeQyoZbHvjVNnr4yKAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-23T12:25:08.007513Z","bundle_sha256":"c3db441e8edc7b4c49a262fac52d9683a1fc82b61d11e65b3d909002c40f08d9"}}