{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:7NXKPY5A2QC4JF5UPB7GJBBB5U","short_pith_number":"pith:7NXKPY5A","canonical_record":{"source":{"id":"1912.12660","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-12-29T14:28:37Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b17c62323f39d4e26a769c8d15cc10384a43d6f261410de34bf7676a7ee3fa60","abstract_canon_sha256":"22628798fe8a17a86abad2fe34620e0895f82712be899999d360a98cdf9c7538"},"schema_version":"1.0"},"canonical_sha256":"fb6ea7e3a0d405c497b4787e648421ed31ccdd56b8035cc857a2a68c75fbdaa9","source":{"kind":"arxiv","id":"1912.12660","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.12660","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"arxiv_version","alias_value":"1912.12660v2","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.12660","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"pith_short_12","alias_value":"7NXKPY5A2QC4","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"pith_short_16","alias_value":"7NXKPY5A2QC4JF5U","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"pith_short_8","alias_value":"7NXKPY5A","created_at":"2026-07-05T01:43:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:7NXKPY5A2QC4JF5UPB7GJBBB5U","target":"record","payload":{"canonical_record":{"source":{"id":"1912.12660","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-12-29T14:28:37Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b17c62323f39d4e26a769c8d15cc10384a43d6f261410de34bf7676a7ee3fa60","abstract_canon_sha256":"22628798fe8a17a86abad2fe34620e0895f82712be899999d360a98cdf9c7538"},"schema_version":"1.0"},"canonical_sha256":"fb6ea7e3a0d405c497b4787e648421ed31ccdd56b8035cc857a2a68c75fbdaa9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:43:55.251011Z","signature_b64":"1g9N3a2KQvfJlZY5iL7Tx5+E+XRD1emfSdpc9eIAkncI42Mga8Zs+gGX6IMSo37x1ir43/HcAx+idl/Ryx5+CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fb6ea7e3a0d405c497b4787e648421ed31ccdd56b8035cc857a2a68c75fbdaa9","last_reissued_at":"2026-07-05T01:43:55.250658Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:43:55.250658Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1912.12660","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":"2026-07-05T01:43:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lIg8JZa/D+4sR6dKQZpXvnJvEPZHx3OBKhsCL+FqaKxfL3aGxE3uN6NLpDOwydoc/pAZoMnAUjbq6lGhNcchDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T02:16:43.431552Z"},"content_sha256":"e9e1c064e12017127057c0754b6e18b8e6bb12bf85dc3ecfe7ff9f819b6d29d7","schema_version":"1.0","event_id":"sha256:e9e1c064e12017127057c0754b6e18b8e6bb12bf85dc3ecfe7ff9f819b6d29d7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:7NXKPY5A2QC4JF5UPB7GJBBB5U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"QDNN: DNN with Quantum Neural Network Layers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"quant-ph","authors_text":"Chen Zhao, Xiao-Shan Gao","submitted_at":"2019-12-29T14:28:37Z","abstract_excerpt":"In this paper, we introduce a quantum extension of classical DNN, QDNN. The QDNN consisting of quantum structured layers can uniformly approximate any continuous function and has more representation power than the classical DNN. It still keeps the advantages of the classical DNN such as the non-linear activation, the multi-layer structure, and the efficient backpropagation training algorithm. Moreover, the QDNN can be used on near-term noisy intermediate-scale quantum processors. A numerical experiment for image classification based on quantum DNN is given, where a high accuracy rate is achiev"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.12660","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/1912.12660/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":"2026-07-05T01:43:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Y+GxTNeDq5wJpkI8LwJ+a87RJ1F598U7s7f2aGzCprQuA76Q6fNjT0CKaYzE9FgRQwmpENo99rjwDamZgtpBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T02:16:43.431940Z"},"content_sha256":"13f4dd1604ee1a89fbdeba167ac514bceb2afea783d93376a4b89caa45f1cf1b","schema_version":"1.0","event_id":"sha256:13f4dd1604ee1a89fbdeba167ac514bceb2afea783d93376a4b89caa45f1cf1b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7NXKPY5A2QC4JF5UPB7GJBBB5U/bundle.json","state_url":"https://pith.science/pith/7NXKPY5A2QC4JF5UPB7GJBBB5U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7NXKPY5A2QC4JF5UPB7GJBBB5U/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":"2026-08-13T02:16:43Z","links":{"resolver":"https://pith.science/pith/7NXKPY5A2QC4JF5UPB7GJBBB5U","bundle":"https://pith.science/pith/7NXKPY5A2QC4JF5UPB7GJBBB5U/bundle.json","state":"https://pith.science/pith/7NXKPY5A2QC4JF5UPB7GJBBB5U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7NXKPY5A2QC4JF5UPB7GJBBB5U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:7NXKPY5A2QC4JF5UPB7GJBBB5U","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":"22628798fe8a17a86abad2fe34620e0895f82712be899999d360a98cdf9c7538","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-12-29T14:28:37Z","title_canon_sha256":"b17c62323f39d4e26a769c8d15cc10384a43d6f261410de34bf7676a7ee3fa60"},"schema_version":"1.0","source":{"id":"1912.12660","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.12660","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"arxiv_version","alias_value":"1912.12660v2","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.12660","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"pith_short_12","alias_value":"7NXKPY5A2QC4","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"pith_short_16","alias_value":"7NXKPY5A2QC4JF5U","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"pith_short_8","alias_value":"7NXKPY5A","created_at":"2026-07-05T01:43:55Z"}],"graph_snapshots":[{"event_id":"sha256:13f4dd1604ee1a89fbdeba167ac514bceb2afea783d93376a4b89caa45f1cf1b","target":"graph","created_at":"2026-07-05T01:43:55Z","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/1912.12660/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we introduce a quantum extension of classical DNN, QDNN. The QDNN consisting of quantum structured layers can uniformly approximate any continuous function and has more representation power than the classical DNN. It still keeps the advantages of the classical DNN such as the non-linear activation, the multi-layer structure, and the efficient backpropagation training algorithm. Moreover, the QDNN can be used on near-term noisy intermediate-scale quantum processors. A numerical experiment for image classification based on quantum DNN is given, where a high accuracy rate is achiev","authors_text":"Chen Zhao, Xiao-Shan Gao","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-12-29T14:28:37Z","title":"QDNN: DNN with Quantum Neural Network Layers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.12660","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:e9e1c064e12017127057c0754b6e18b8e6bb12bf85dc3ecfe7ff9f819b6d29d7","target":"record","created_at":"2026-07-05T01:43:55Z","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":"22628798fe8a17a86abad2fe34620e0895f82712be899999d360a98cdf9c7538","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-12-29T14:28:37Z","title_canon_sha256":"b17c62323f39d4e26a769c8d15cc10384a43d6f261410de34bf7676a7ee3fa60"},"schema_version":"1.0","source":{"id":"1912.12660","kind":"arxiv","version":2}},"canonical_sha256":"fb6ea7e3a0d405c497b4787e648421ed31ccdd56b8035cc857a2a68c75fbdaa9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fb6ea7e3a0d405c497b4787e648421ed31ccdd56b8035cc857a2a68c75fbdaa9","first_computed_at":"2026-07-05T01:43:55.250658Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:43:55.250658Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1g9N3a2KQvfJlZY5iL7Tx5+E+XRD1emfSdpc9eIAkncI42Mga8Zs+gGX6IMSo37x1ir43/HcAx+idl/Ryx5+CA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:43:55.251011Z","signed_message":"canonical_sha256_bytes"},"source_id":"1912.12660","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e9e1c064e12017127057c0754b6e18b8e6bb12bf85dc3ecfe7ff9f819b6d29d7","sha256:13f4dd1604ee1a89fbdeba167ac514bceb2afea783d93376a4b89caa45f1cf1b"],"state_sha256":"d9614e52510521ac0f57a01bb59547731ae4ab0c5bc128e183d044f9dd51c0b4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"//RUNAUEqkIfYOU0z2T3MO4JsATj0CeY+DesmYiQk3hVGs7X5CH/5jf4TMXYrKbilq4lz4VKvZNjD6PjfW21AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T02:16:43.434443Z","bundle_sha256":"e9840b3f330a5987e020622a57957f77f9c2c21a9d89b5a36fa1f1bee1ca2611"}}