{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:WRJLMQ2DBBYZGALYSFCINZB3BE","short_pith_number":"pith:WRJLMQ2D","canonical_record":{"source":{"id":"1802.06002","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-02-16T16:09:34Z","cross_cats_sorted":[],"title_canon_sha256":"586177cb226eebcf2d9c45d142bb4625d6e04d4edb38182fb6497511251120b5","abstract_canon_sha256":"eaa9d77fb8bc1fe82fb5919c137fd8818bea3ad45febfccfc07e111371481a5e"},"schema_version":"1.0"},"canonical_sha256":"b452b643430871930178914486e43b0937b051b97e6f649bb0754ead1fd18d8d","source":{"kind":"arxiv","id":"1802.06002","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.06002","created_at":"2026-05-18T00:06:46Z"},{"alias_kind":"arxiv_version","alias_value":"1802.06002v2","created_at":"2026-05-18T00:06:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.06002","created_at":"2026-05-18T00:06:46Z"},{"alias_kind":"pith_short_12","alias_value":"WRJLMQ2DBBYZ","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"WRJLMQ2DBBYZGALY","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"WRJLMQ2D","created_at":"2026-05-18T12:33:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:WRJLMQ2DBBYZGALYSFCINZB3BE","target":"record","payload":{"canonical_record":{"source":{"id":"1802.06002","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-02-16T16:09:34Z","cross_cats_sorted":[],"title_canon_sha256":"586177cb226eebcf2d9c45d142bb4625d6e04d4edb38182fb6497511251120b5","abstract_canon_sha256":"eaa9d77fb8bc1fe82fb5919c137fd8818bea3ad45febfccfc07e111371481a5e"},"schema_version":"1.0"},"canonical_sha256":"b452b643430871930178914486e43b0937b051b97e6f649bb0754ead1fd18d8d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:46.256381Z","signature_b64":"NqiafrevBnLe8nfhuieJnWt7U4mhc9KN2dTFBzrCX53HqQhOahZQYkr0L2biBe5izBPS5k5EUKKehx/atmiiCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b452b643430871930178914486e43b0937b051b97e6f649bb0754ead1fd18d8d","last_reissued_at":"2026-05-18T00:06:46.255792Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:46.255792Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1802.06002","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":"2026-05-18T00:06:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dan5XXb4C2+C+qIzQX/mXfn4zc5zIg1F8g4B2+mVtN4UENxT2Ov71FyoUmePtUzKw52yxTpKb51NF9Q5Wn7pDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T00:27:37.410581Z"},"content_sha256":"7947a6aff33b64f3ac793f53b9cd34d786382320e2e1798a6efb818b5b32443c","schema_version":"1.0","event_id":"sha256:7947a6aff33b64f3ac793f53b9cd34d786382320e2e1798a6efb818b5b32443c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:WRJLMQ2DBBYZGALYSFCINZB3BE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Classification with Quantum Neural Networks on Near Term Processors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Edward Farhi, Hartmut Neven","submitted_at":"2018-02-16T16:09:34Z","abstract_excerpt":"We introduce a quantum neural network, QNN, that can represent labeled data, classical or quantum, and be trained by supervised learning. The quantum circuit consists of a sequence of parameter dependent unitary transformations which acts on an input quantum state. For binary classification a single Pauli operator is measured on a designated readout qubit. The measured output is the quantum neural network's predictor of the binary label of the input state. First we look at classifying classical data sets which consist of n-bit strings with binary labels. The input quantum state is an n-bit com"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.06002","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":""},"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":"2026-05-18T00:06:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XYDAiCzZjYeSsGV/VoPobvq5IjezRg+71xKaNTUZG4j2tu58JfDPHXnlAUiMMByoB75AQVN+KbJYK7S3+2gUBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T00:27:37.410926Z"},"content_sha256":"5b6db9963792c7380d9639833fde86e08112ecaa07e9c81001d6679cdefecd65","schema_version":"1.0","event_id":"sha256:5b6db9963792c7380d9639833fde86e08112ecaa07e9c81001d6679cdefecd65"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WRJLMQ2DBBYZGALYSFCINZB3BE/bundle.json","state_url":"https://pith.science/pith/WRJLMQ2DBBYZGALYSFCINZB3BE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WRJLMQ2DBBYZGALYSFCINZB3BE/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":"2026-06-02T00:27:37Z","links":{"resolver":"https://pith.science/pith/WRJLMQ2DBBYZGALYSFCINZB3BE","bundle":"https://pith.science/pith/WRJLMQ2DBBYZGALYSFCINZB3BE/bundle.json","state":"https://pith.science/pith/WRJLMQ2DBBYZGALYSFCINZB3BE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WRJLMQ2DBBYZGALYSFCINZB3BE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:WRJLMQ2DBBYZGALYSFCINZB3BE","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":"eaa9d77fb8bc1fe82fb5919c137fd8818bea3ad45febfccfc07e111371481a5e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-02-16T16:09:34Z","title_canon_sha256":"586177cb226eebcf2d9c45d142bb4625d6e04d4edb38182fb6497511251120b5"},"schema_version":"1.0","source":{"id":"1802.06002","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.06002","created_at":"2026-05-18T00:06:46Z"},{"alias_kind":"arxiv_version","alias_value":"1802.06002v2","created_at":"2026-05-18T00:06:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.06002","created_at":"2026-05-18T00:06:46Z"},{"alias_kind":"pith_short_12","alias_value":"WRJLMQ2DBBYZ","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"WRJLMQ2DBBYZGALY","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"WRJLMQ2D","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:5b6db9963792c7380d9639833fde86e08112ecaa07e9c81001d6679cdefecd65","target":"graph","created_at":"2026-05-18T00:06:46Z","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"},"paper":{"abstract_excerpt":"We introduce a quantum neural network, QNN, that can represent labeled data, classical or quantum, and be trained by supervised learning. The quantum circuit consists of a sequence of parameter dependent unitary transformations which acts on an input quantum state. For binary classification a single Pauli operator is measured on a designated readout qubit. The measured output is the quantum neural network's predictor of the binary label of the input state. First we look at classifying classical data sets which consist of n-bit strings with binary labels. The input quantum state is an n-bit com","authors_text":"Edward Farhi, Hartmut Neven","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-02-16T16:09:34Z","title":"Classification with Quantum Neural Networks on Near Term Processors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.06002","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":"sha256:7947a6aff33b64f3ac793f53b9cd34d786382320e2e1798a6efb818b5b32443c","target":"record","created_at":"2026-05-18T00:06:46Z","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":"eaa9d77fb8bc1fe82fb5919c137fd8818bea3ad45febfccfc07e111371481a5e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-02-16T16:09:34Z","title_canon_sha256":"586177cb226eebcf2d9c45d142bb4625d6e04d4edb38182fb6497511251120b5"},"schema_version":"1.0","source":{"id":"1802.06002","kind":"arxiv","version":2}},"canonical_sha256":"b452b643430871930178914486e43b0937b051b97e6f649bb0754ead1fd18d8d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b452b643430871930178914486e43b0937b051b97e6f649bb0754ead1fd18d8d","first_computed_at":"2026-05-18T00:06:46.255792Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:46.255792Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NqiafrevBnLe8nfhuieJnWt7U4mhc9KN2dTFBzrCX53HqQhOahZQYkr0L2biBe5izBPS5k5EUKKehx/atmiiCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:46.256381Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.06002","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7947a6aff33b64f3ac793f53b9cd34d786382320e2e1798a6efb818b5b32443c","sha256:5b6db9963792c7380d9639833fde86e08112ecaa07e9c81001d6679cdefecd65"],"state_sha256":"f4e10bdda87eb9c19a0d23a99b276fc0c3feb7f7db6ea52fa5cf990c1bac1489"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qdoTENxZmRwhXJqia1lf1CkHmJU8TPq8p9R54HJFlO1roBe1j1Bt7Myfqm/oQULhrurVsdhI3r82J8NDoEFwBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T00:27:37.413015Z","bundle_sha256":"e4e5e11fc75f9f4b20bf93675b3cbf1e9d48bab50e2834ed88947215c1a091b5"}}