{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:ADENQYM2LZAAPOX3G3RH3BJH4L","short_pith_number":"pith:ADENQYM2","canonical_record":{"source":{"id":"1810.03787","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-10-09T03:10:08Z","cross_cats_sorted":["cond-mat.str-el"],"title_canon_sha256":"45e5fc6b931835df472ecf374e3cb6450a1450aeaebf8e6e464c5f2b25b3402d","abstract_canon_sha256":"1712248b60c3cd895043ba65c085506100c7545661c15fbe8f9cf03cb2843736"},"schema_version":"1.0"},"canonical_sha256":"00c8d8619a5e4007bafb36e27d8527e2c82a2a61ebdda43a54b68babea904a9c","source":{"kind":"arxiv","id":"1810.03787","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.03787","created_at":"2026-07-05T00:13:37Z"},{"alias_kind":"arxiv_version","alias_value":"1810.03787v2","created_at":"2026-07-05T00:13:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.03787","created_at":"2026-07-05T00:13:37Z"},{"alias_kind":"pith_short_12","alias_value":"ADENQYM2LZAA","created_at":"2026-07-05T00:13:37Z"},{"alias_kind":"pith_short_16","alias_value":"ADENQYM2LZAAPOX3","created_at":"2026-07-05T00:13:37Z"},{"alias_kind":"pith_short_8","alias_value":"ADENQYM2","created_at":"2026-07-05T00:13:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:ADENQYM2LZAAPOX3G3RH3BJH4L","target":"record","payload":{"canonical_record":{"source":{"id":"1810.03787","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-10-09T03:10:08Z","cross_cats_sorted":["cond-mat.str-el"],"title_canon_sha256":"45e5fc6b931835df472ecf374e3cb6450a1450aeaebf8e6e464c5f2b25b3402d","abstract_canon_sha256":"1712248b60c3cd895043ba65c085506100c7545661c15fbe8f9cf03cb2843736"},"schema_version":"1.0"},"canonical_sha256":"00c8d8619a5e4007bafb36e27d8527e2c82a2a61ebdda43a54b68babea904a9c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:13:37.610272Z","signature_b64":"2e+ChQ9kXCcnARMUszgiYIxi5BvE0a0Axrqf7x5mTtJrAEBBaV4DNP4g69mBguiW/c44/ODFfe8BZFWOvDi2BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"00c8d8619a5e4007bafb36e27d8527e2c82a2a61ebdda43a54b68babea904a9c","last_reissued_at":"2026-07-05T00:13:37.609805Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:13:37.609805Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.03787","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":"2026-07-05T00:13:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8IRcPAdm9u8y6Lf21d4Fy0p6Rzc/2l1D+U8EN7EV7t+sqrlWliCbumgiwRoVABgFGc5b21pZNHaLJxcp5Y2PCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T15:06:15.731985Z"},"content_sha256":"5d7f22d60cf24ce7f791fa82fb6fd03246296c55aaec079aa072287fcddfde64","schema_version":"1.0","event_id":"sha256:5d7f22d60cf24ce7f791fa82fb6fd03246296c55aaec079aa072287fcddfde64"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:ADENQYM2LZAAPOX3G3RH3BJH4L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantum Convolutional Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.str-el"],"primary_cat":"quant-ph","authors_text":"Iris Cong, Mikhail D. Lukin, Soonwon Choi","submitted_at":"2018-10-09T03:10:08Z","abstract_excerpt":"We introduce and analyze a novel quantum machine learning model motivated by convolutional neural networks. Our quantum convolutional neural network (QCNN) makes use of only $O(\\log(N))$ variational parameters for input sizes of $N$ qubits, allowing for its efficient training and implementation on realistic, near-term quantum devices. The QCNN architecture combines the multi-scale entanglement renormalization ansatz and quantum error correction. We explicitly illustrate its potential with two examples. First, QCNN is used to accurately recognize quantum states associated with 1D symmetry-prote"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.03787","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/1810.03787/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":"2026-07-05T00:13:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EfhylE8C6s5nH139aO91Z+1WRqdjScEeI2zaFuOFCwb+M7LVrYCHmOLULNiTkykh6SfOlbmhgxtVcpGZ0mVdCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T15:06:15.732918Z"},"content_sha256":"e7b9f0b8f510e93d2441ee9ea4eebf1ee1a8aae1a06711371f09eb748ae101af","schema_version":"1.0","event_id":"sha256:e7b9f0b8f510e93d2441ee9ea4eebf1ee1a8aae1a06711371f09eb748ae101af"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ADENQYM2LZAAPOX3G3RH3BJH4L/bundle.json","state_url":"https://pith.science/pith/ADENQYM2LZAAPOX3G3RH3BJH4L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ADENQYM2LZAAPOX3G3RH3BJH4L/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":"2026-08-17T15:06:15Z","links":{"resolver":"https://pith.science/pith/ADENQYM2LZAAPOX3G3RH3BJH4L","bundle":"https://pith.science/pith/ADENQYM2LZAAPOX3G3RH3BJH4L/bundle.json","state":"https://pith.science/pith/ADENQYM2LZAAPOX3G3RH3BJH4L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ADENQYM2LZAAPOX3G3RH3BJH4L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:ADENQYM2LZAAPOX3G3RH3BJH4L","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":"1712248b60c3cd895043ba65c085506100c7545661c15fbe8f9cf03cb2843736","cross_cats_sorted":["cond-mat.str-el"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-10-09T03:10:08Z","title_canon_sha256":"45e5fc6b931835df472ecf374e3cb6450a1450aeaebf8e6e464c5f2b25b3402d"},"schema_version":"1.0","source":{"id":"1810.03787","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.03787","created_at":"2026-07-05T00:13:37Z"},{"alias_kind":"arxiv_version","alias_value":"1810.03787v2","created_at":"2026-07-05T00:13:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.03787","created_at":"2026-07-05T00:13:37Z"},{"alias_kind":"pith_short_12","alias_value":"ADENQYM2LZAA","created_at":"2026-07-05T00:13:37Z"},{"alias_kind":"pith_short_16","alias_value":"ADENQYM2LZAAPOX3","created_at":"2026-07-05T00:13:37Z"},{"alias_kind":"pith_short_8","alias_value":"ADENQYM2","created_at":"2026-07-05T00:13:37Z"}],"graph_snapshots":[{"event_id":"sha256:e7b9f0b8f510e93d2441ee9ea4eebf1ee1a8aae1a06711371f09eb748ae101af","target":"graph","created_at":"2026-07-05T00:13:37Z","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/1810.03787/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce and analyze a novel quantum machine learning model motivated by convolutional neural networks. Our quantum convolutional neural network (QCNN) makes use of only $O(\\log(N))$ variational parameters for input sizes of $N$ qubits, allowing for its efficient training and implementation on realistic, near-term quantum devices. The QCNN architecture combines the multi-scale entanglement renormalization ansatz and quantum error correction. We explicitly illustrate its potential with two examples. First, QCNN is used to accurately recognize quantum states associated with 1D symmetry-prote","authors_text":"Iris Cong, Mikhail D. Lukin, Soonwon Choi","cross_cats":["cond-mat.str-el"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-10-09T03:10:08Z","title":"Quantum Convolutional Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.03787","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":"sha256:5d7f22d60cf24ce7f791fa82fb6fd03246296c55aaec079aa072287fcddfde64","target":"record","created_at":"2026-07-05T00:13:37Z","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":"1712248b60c3cd895043ba65c085506100c7545661c15fbe8f9cf03cb2843736","cross_cats_sorted":["cond-mat.str-el"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-10-09T03:10:08Z","title_canon_sha256":"45e5fc6b931835df472ecf374e3cb6450a1450aeaebf8e6e464c5f2b25b3402d"},"schema_version":"1.0","source":{"id":"1810.03787","kind":"arxiv","version":2}},"canonical_sha256":"00c8d8619a5e4007bafb36e27d8527e2c82a2a61ebdda43a54b68babea904a9c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"00c8d8619a5e4007bafb36e27d8527e2c82a2a61ebdda43a54b68babea904a9c","first_computed_at":"2026-07-05T00:13:37.609805Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:13:37.609805Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2e+ChQ9kXCcnARMUszgiYIxi5BvE0a0Axrqf7x5mTtJrAEBBaV4DNP4g69mBguiW/c44/ODFfe8BZFWOvDi2BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:13:37.610272Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.03787","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5d7f22d60cf24ce7f791fa82fb6fd03246296c55aaec079aa072287fcddfde64","sha256:e7b9f0b8f510e93d2441ee9ea4eebf1ee1a8aae1a06711371f09eb748ae101af"],"state_sha256":"1737240561da137f34e3d9284bc867a23ac80e997930a98ba797f8c2a6904897"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yTQgKYDsUdbCD4Fd2XxUd42kmjel3Jb6GSIzMmNRWSCvkw/FG1FdfTvjGf9V9c7CzHYEcX11TKH/Ws4d8pKuDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T15:06:15.744809Z","bundle_sha256":"ecf479952298408d8015b2dac4c91c8c28922a29d4b7c8a1404cd4f58dfd86ea"}}