{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:HCHCM7AH6XTZGRLESCYO5C22J6","short_pith_number":"pith:HCHCM7AH","canonical_record":{"source":{"id":"2305.08544","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-05-15T11:16:47Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5cef6b4fb5f15421225481011d0f49f334b9a21cbafe39e750b814a7adce9bd0","abstract_canon_sha256":"c306efae49aaa85f4bbd3a602ea71177533c7468720834a749f3ac0bfad375dc"},"schema_version":"1.0"},"canonical_sha256":"388e267c07f5e793456490b0ee8b5a4f8298e47628e1286f283ce63259124be4","source":{"kind":"arxiv","id":"2305.08544","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.08544","created_at":"2026-07-05T06:10:03Z"},{"alias_kind":"arxiv_version","alias_value":"2305.08544v1","created_at":"2026-07-05T06:10:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.08544","created_at":"2026-07-05T06:10:03Z"},{"alias_kind":"pith_short_12","alias_value":"HCHCM7AH6XTZ","created_at":"2026-07-05T06:10:03Z"},{"alias_kind":"pith_short_16","alias_value":"HCHCM7AH6XTZGRLE","created_at":"2026-07-05T06:10:03Z"},{"alias_kind":"pith_short_8","alias_value":"HCHCM7AH","created_at":"2026-07-05T06:10:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:HCHCM7AH6XTZGRLESCYO5C22J6","target":"record","payload":{"canonical_record":{"source":{"id":"2305.08544","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-05-15T11:16:47Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5cef6b4fb5f15421225481011d0f49f334b9a21cbafe39e750b814a7adce9bd0","abstract_canon_sha256":"c306efae49aaa85f4bbd3a602ea71177533c7468720834a749f3ac0bfad375dc"},"schema_version":"1.0"},"canonical_sha256":"388e267c07f5e793456490b0ee8b5a4f8298e47628e1286f283ce63259124be4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:10:03.191211Z","signature_b64":"xCXoXryS7riRY1bBg1bVQkqR/P0bfiIvCRO4Mfz/dlB6h9b2Xvc4XAp7exWl8ugWrC+kF123dI1EIoQpgZtuBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"388e267c07f5e793456490b0ee8b5a4f8298e47628e1286f283ce63259124be4","last_reissued_at":"2026-07-05T06:10:03.190728Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:10:03.190728Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.08544","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":"2026-07-05T06:10:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+0BbB+UbPHuwvbZ8aHOCxMNrv3m//Z86HQrXKoX80gcCbnevHdFYuogb8vo6RPAil8xX3kggHhjm6Yo+KPWTDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:21:24.122938Z"},"content_sha256":"552e44c6643fa970ffc49a7b1aa7edc4febac175a56ab490269eca2677b921aa","schema_version":"1.0","event_id":"sha256:552e44c6643fa970ffc49a7b1aa7edc4febac175a56ab490269eca2677b921aa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:HCHCM7AH6XTZGRLESCYO5C22J6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantum Neural Network for Quantum Neural Computing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"quant-ph","authors_text":"Chen-Long Li, Hua-Lei Yin, Min-Gang Zhou, Tong-Kai Xu, Zeng-Bing Chen, Zhi-Ping Liu","submitted_at":"2023-05-15T11:16:47Z","abstract_excerpt":"Neural networks have achieved impressive breakthroughs in both industry and academia. How to effectively develop neural networks on quantum computing devices is a challenging open problem. Here, we propose a new quantum neural network model for quantum neural computing using (classically-controlled) single-qubit operations and measurements on real-world quantum systems with naturally occurring environment-induced decoherence, which greatly reduces the difficulties of physical implementations. Our model circumvents the problem that the state-space size grows exponentially with the number of neu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.08544","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/2305.08544/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":"2026-07-05T06:10:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BC6LuZEMYnAq4BTv5MNiWlPxBQVB0SAw3VZIuI9R8OeSUqey3Wqhx6WHHBgn8Liyh6X2p7hxq1ysN5Xa3PGqCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:21:24.123320Z"},"content_sha256":"938715b9cb7bd1183c9f562c265a85e9ba59fa785bdce819a3bac7519e2325ec","schema_version":"1.0","event_id":"sha256:938715b9cb7bd1183c9f562c265a85e9ba59fa785bdce819a3bac7519e2325ec"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HCHCM7AH6XTZGRLESCYO5C22J6/bundle.json","state_url":"https://pith.science/pith/HCHCM7AH6XTZGRLESCYO5C22J6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HCHCM7AH6XTZGRLESCYO5C22J6/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":"2026-08-03T16:21:24Z","links":{"resolver":"https://pith.science/pith/HCHCM7AH6XTZGRLESCYO5C22J6","bundle":"https://pith.science/pith/HCHCM7AH6XTZGRLESCYO5C22J6/bundle.json","state":"https://pith.science/pith/HCHCM7AH6XTZGRLESCYO5C22J6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HCHCM7AH6XTZGRLESCYO5C22J6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HCHCM7AH6XTZGRLESCYO5C22J6","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":"c306efae49aaa85f4bbd3a602ea71177533c7468720834a749f3ac0bfad375dc","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-05-15T11:16:47Z","title_canon_sha256":"5cef6b4fb5f15421225481011d0f49f334b9a21cbafe39e750b814a7adce9bd0"},"schema_version":"1.0","source":{"id":"2305.08544","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.08544","created_at":"2026-07-05T06:10:03Z"},{"alias_kind":"arxiv_version","alias_value":"2305.08544v1","created_at":"2026-07-05T06:10:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.08544","created_at":"2026-07-05T06:10:03Z"},{"alias_kind":"pith_short_12","alias_value":"HCHCM7AH6XTZ","created_at":"2026-07-05T06:10:03Z"},{"alias_kind":"pith_short_16","alias_value":"HCHCM7AH6XTZGRLE","created_at":"2026-07-05T06:10:03Z"},{"alias_kind":"pith_short_8","alias_value":"HCHCM7AH","created_at":"2026-07-05T06:10:03Z"}],"graph_snapshots":[{"event_id":"sha256:938715b9cb7bd1183c9f562c265a85e9ba59fa785bdce819a3bac7519e2325ec","target":"graph","created_at":"2026-07-05T06:10:03Z","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/2305.08544/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural networks have achieved impressive breakthroughs in both industry and academia. How to effectively develop neural networks on quantum computing devices is a challenging open problem. Here, we propose a new quantum neural network model for quantum neural computing using (classically-controlled) single-qubit operations and measurements on real-world quantum systems with naturally occurring environment-induced decoherence, which greatly reduces the difficulties of physical implementations. Our model circumvents the problem that the state-space size grows exponentially with the number of neu","authors_text":"Chen-Long Li, Hua-Lei Yin, Min-Gang Zhou, Tong-Kai Xu, Zeng-Bing Chen, Zhi-Ping Liu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-05-15T11:16:47Z","title":"Quantum Neural Network for Quantum Neural Computing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.08544","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":"sha256:552e44c6643fa970ffc49a7b1aa7edc4febac175a56ab490269eca2677b921aa","target":"record","created_at":"2026-07-05T06:10:03Z","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":"c306efae49aaa85f4bbd3a602ea71177533c7468720834a749f3ac0bfad375dc","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-05-15T11:16:47Z","title_canon_sha256":"5cef6b4fb5f15421225481011d0f49f334b9a21cbafe39e750b814a7adce9bd0"},"schema_version":"1.0","source":{"id":"2305.08544","kind":"arxiv","version":1}},"canonical_sha256":"388e267c07f5e793456490b0ee8b5a4f8298e47628e1286f283ce63259124be4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"388e267c07f5e793456490b0ee8b5a4f8298e47628e1286f283ce63259124be4","first_computed_at":"2026-07-05T06:10:03.190728Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:10:03.190728Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xCXoXryS7riRY1bBg1bVQkqR/P0bfiIvCRO4Mfz/dlB6h9b2Xvc4XAp7exWl8ugWrC+kF123dI1EIoQpgZtuBw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:10:03.191211Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.08544","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:552e44c6643fa970ffc49a7b1aa7edc4febac175a56ab490269eca2677b921aa","sha256:938715b9cb7bd1183c9f562c265a85e9ba59fa785bdce819a3bac7519e2325ec"],"state_sha256":"9e73b98e45ca17e2bfbe9c1b575465c1ebe740955f3514cb3577bcd6f912bd16"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"krQ/LZEN6NukYYzi9htkZiWLhwt601ADvbMVxEnqOSssxFUjPT2yTHXUU6FFB+8EuT6wdjqHtFUXyb72WLPtAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:21:24.126129Z","bundle_sha256":"8f5b429c6bb888908bb592c2fdead0a42db15a0e631908d685687dc0bc524734"}}