{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZQ5SC6NVFCERJOXPJEFNYYTWOP","short_pith_number":"pith:ZQ5SC6NV","canonical_record":{"source":{"id":"2307.03280","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2023-07-06T20:31:25Z","cross_cats_sorted":[],"title_canon_sha256":"5a095384266a045cb33d719ea4656eac0790071805e703d2b45392465fb587eb","abstract_canon_sha256":"e1f2ccd5fa5a46da08f1a1860115fa2c62716cc9110d446773e37f36b10c7839"},"schema_version":"1.0"},"canonical_sha256":"cc3b2179b5288914baef490adc627673df1608a6ecf62162671f9b69c92d5616","source":{"kind":"arxiv","id":"2307.03280","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.03280","created_at":"2026-07-05T11:44:38Z"},{"alias_kind":"arxiv_version","alias_value":"2307.03280v2","created_at":"2026-07-05T11:44:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.03280","created_at":"2026-07-05T11:44:38Z"},{"alias_kind":"pith_short_12","alias_value":"ZQ5SC6NVFCER","created_at":"2026-07-05T11:44:38Z"},{"alias_kind":"pith_short_16","alias_value":"ZQ5SC6NVFCERJOXP","created_at":"2026-07-05T11:44:38Z"},{"alias_kind":"pith_short_8","alias_value":"ZQ5SC6NV","created_at":"2026-07-05T11:44:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZQ5SC6NVFCERJOXPJEFNYYTWOP","target":"record","payload":{"canonical_record":{"source":{"id":"2307.03280","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2023-07-06T20:31:25Z","cross_cats_sorted":[],"title_canon_sha256":"5a095384266a045cb33d719ea4656eac0790071805e703d2b45392465fb587eb","abstract_canon_sha256":"e1f2ccd5fa5a46da08f1a1860115fa2c62716cc9110d446773e37f36b10c7839"},"schema_version":"1.0"},"canonical_sha256":"cc3b2179b5288914baef490adc627673df1608a6ecf62162671f9b69c92d5616","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:44:38.106255Z","signature_b64":"egdabuM9C7GkRYWuJ6ZCQ1jY3xMXDKXxc33ANtFkq9i1jC4zWEoOL/c/fjqtIe0LmJhQVPH8EG7ZgMVJ9wb4Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cc3b2179b5288914baef490adc627673df1608a6ecf62162671f9b69c92d5616","last_reissued_at":"2026-07-05T11:44:38.105447Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:44:38.105447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.03280","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":"2026-07-05T11:44:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QjAMp0uicHrpUiRveIIlgTG/smlc74i2g3lM5NX7Gqr6rOVB8BNfQfJaC4pQj3io2i4ikE4PEf8qhSlWNOnfCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T23:36:52.369290Z"},"content_sha256":"6a3d00b43ffa162a79fe775840fa3fa9628284dd083d98f7be1d84f92a247546","schema_version":"1.0","event_id":"sha256:6a3d00b43ffa162a79fe775840fa3fa9628284dd083d98f7be1d84f92a247546"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZQ5SC6NVFCERJOXPJEFNYYTWOP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neural network decoder for near-term surface-code experiments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Barbara M. Terhal, Boris M. Varbanov, David Byfield, Marc Serra-Peralta","submitted_at":"2023-07-06T20:31:25Z","abstract_excerpt":"Neural-network decoders can achieve a lower logical error rate compared to conventional decoders, like minimum-weight perfect matching, when decoding the surface code. Furthermore, these decoders require no prior information about the physical error rates, making them highly adaptable. In this study, we investigate the performance of such a decoder using both simulated and experimental data obtained from a transmon-qubit processor, focusing on small-distance surface codes. We first show that the neural network typically outperforms the matching decoder due to better handling errors leading to "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.03280","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/2307.03280/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":"2026-07-05T11:44:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GrZdY9xjGkfY7WokfqwoabdPEGfbtpt8s30o4JVkV9jALr3KiJVvsactQRdfMlT5dkObpoVVQzf4uhF14HxtBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T23:36:52.370229Z"},"content_sha256":"9f3723591f1f726a86cc7b48abc37515e80bdd3f84073b9b61c4acf43831683c","schema_version":"1.0","event_id":"sha256:9f3723591f1f726a86cc7b48abc37515e80bdd3f84073b9b61c4acf43831683c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZQ5SC6NVFCERJOXPJEFNYYTWOP/bundle.json","state_url":"https://pith.science/pith/ZQ5SC6NVFCERJOXPJEFNYYTWOP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZQ5SC6NVFCERJOXPJEFNYYTWOP/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":"2026-08-04T23:36:52Z","links":{"resolver":"https://pith.science/pith/ZQ5SC6NVFCERJOXPJEFNYYTWOP","bundle":"https://pith.science/pith/ZQ5SC6NVFCERJOXPJEFNYYTWOP/bundle.json","state":"https://pith.science/pith/ZQ5SC6NVFCERJOXPJEFNYYTWOP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZQ5SC6NVFCERJOXPJEFNYYTWOP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZQ5SC6NVFCERJOXPJEFNYYTWOP","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":"e1f2ccd5fa5a46da08f1a1860115fa2c62716cc9110d446773e37f36b10c7839","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2023-07-06T20:31:25Z","title_canon_sha256":"5a095384266a045cb33d719ea4656eac0790071805e703d2b45392465fb587eb"},"schema_version":"1.0","source":{"id":"2307.03280","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.03280","created_at":"2026-07-05T11:44:38Z"},{"alias_kind":"arxiv_version","alias_value":"2307.03280v2","created_at":"2026-07-05T11:44:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.03280","created_at":"2026-07-05T11:44:38Z"},{"alias_kind":"pith_short_12","alias_value":"ZQ5SC6NVFCER","created_at":"2026-07-05T11:44:38Z"},{"alias_kind":"pith_short_16","alias_value":"ZQ5SC6NVFCERJOXP","created_at":"2026-07-05T11:44:38Z"},{"alias_kind":"pith_short_8","alias_value":"ZQ5SC6NV","created_at":"2026-07-05T11:44:38Z"}],"graph_snapshots":[{"event_id":"sha256:9f3723591f1f726a86cc7b48abc37515e80bdd3f84073b9b61c4acf43831683c","target":"graph","created_at":"2026-07-05T11:44:38Z","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/2307.03280/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural-network decoders can achieve a lower logical error rate compared to conventional decoders, like minimum-weight perfect matching, when decoding the surface code. Furthermore, these decoders require no prior information about the physical error rates, making them highly adaptable. In this study, we investigate the performance of such a decoder using both simulated and experimental data obtained from a transmon-qubit processor, focusing on small-distance surface codes. We first show that the neural network typically outperforms the matching decoder due to better handling errors leading to ","authors_text":"Barbara M. Terhal, Boris M. Varbanov, David Byfield, Marc Serra-Peralta","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2023-07-06T20:31:25Z","title":"Neural network decoder for near-term surface-code experiments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.03280","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":"sha256:6a3d00b43ffa162a79fe775840fa3fa9628284dd083d98f7be1d84f92a247546","target":"record","created_at":"2026-07-05T11:44:38Z","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":"e1f2ccd5fa5a46da08f1a1860115fa2c62716cc9110d446773e37f36b10c7839","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2023-07-06T20:31:25Z","title_canon_sha256":"5a095384266a045cb33d719ea4656eac0790071805e703d2b45392465fb587eb"},"schema_version":"1.0","source":{"id":"2307.03280","kind":"arxiv","version":2}},"canonical_sha256":"cc3b2179b5288914baef490adc627673df1608a6ecf62162671f9b69c92d5616","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cc3b2179b5288914baef490adc627673df1608a6ecf62162671f9b69c92d5616","first_computed_at":"2026-07-05T11:44:38.105447Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:44:38.105447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"egdabuM9C7GkRYWuJ6ZCQ1jY3xMXDKXxc33ANtFkq9i1jC4zWEoOL/c/fjqtIe0LmJhQVPH8EG7ZgMVJ9wb4Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:44:38.106255Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.03280","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a3d00b43ffa162a79fe775840fa3fa9628284dd083d98f7be1d84f92a247546","sha256:9f3723591f1f726a86cc7b48abc37515e80bdd3f84073b9b61c4acf43831683c"],"state_sha256":"fa0ee2f49bdb0d811fbfa8904342a39c66119c5a4055c8bac83784a7401ccd5b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"imupdjRy5v6iB3a/mb89KAntIzCgj/X6ObxLr0mT1+65MoUYJUuAVkOHx/eTocvTKbTuLExtbt39jVTb23QSCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T23:36:52.376990Z","bundle_sha256":"8241f73b3a189081aac98575aea3f97b03a99dd590f3538693f6af031e12b23c"}}