{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:TCXB3Y3HDLAHGM776K3HDKZQOA","short_pith_number":"pith:TCXB3Y3H","canonical_record":{"source":{"id":"2008.12616","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2020-08-26T20:58:50Z","cross_cats_sorted":["cs.ET"],"title_canon_sha256":"df7d3f27cd05a6afbab76b0333df1c1bf4324e4619f16fd5e3914f79dc401c15","abstract_canon_sha256":"75403c687b2c436b5f1d6beba63b96cc50d9d30c5ed35417c45ea181885d6241"},"schema_version":"1.0"},"canonical_sha256":"98ae1de3671ac07333fff2b671ab307019eb8eff6168433c2a7cedb89cd1f663","source":{"kind":"arxiv","id":"2008.12616","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.12616","created_at":"2026-07-05T01:31:17Z"},{"alias_kind":"arxiv_version","alias_value":"2008.12616v1","created_at":"2026-07-05T01:31:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.12616","created_at":"2026-07-05T01:31:17Z"},{"alias_kind":"pith_short_12","alias_value":"TCXB3Y3HDLAH","created_at":"2026-07-05T01:31:17Z"},{"alias_kind":"pith_short_16","alias_value":"TCXB3Y3HDLAHGM77","created_at":"2026-07-05T01:31:17Z"},{"alias_kind":"pith_short_8","alias_value":"TCXB3Y3H","created_at":"2026-07-05T01:31:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:TCXB3Y3HDLAHGM776K3HDKZQOA","target":"record","payload":{"canonical_record":{"source":{"id":"2008.12616","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2020-08-26T20:58:50Z","cross_cats_sorted":["cs.ET"],"title_canon_sha256":"df7d3f27cd05a6afbab76b0333df1c1bf4324e4619f16fd5e3914f79dc401c15","abstract_canon_sha256":"75403c687b2c436b5f1d6beba63b96cc50d9d30c5ed35417c45ea181885d6241"},"schema_version":"1.0"},"canonical_sha256":"98ae1de3671ac07333fff2b671ab307019eb8eff6168433c2a7cedb89cd1f663","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:31:17.164608Z","signature_b64":"pBjZvn9h+H9muCvePZlWhy/IoKRZMgvqZR8jDxOyts2EjRGoYiLE8MTiqX2Wtfiykn+gazGEx4sC/vpA29eNAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"98ae1de3671ac07333fff2b671ab307019eb8eff6168433c2a7cedb89cd1f663","last_reissued_at":"2026-07-05T01:31:17.164155Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:31:17.164155Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.12616","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":"2026-07-05T01:31:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rdytfMZCR/BKbuLgAlNrfeKKKImbmzPDZC5RsbU/67B9+OvX5gFy62P1tifpKBiiIcD//QxwkGp1uND0s/XrDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T23:54:50.022448Z"},"content_sha256":"38d630bc8466a80cb44421799541d32312e46dfb84f633eeda0bbb8ce11c8e03","schema_version":"1.0","event_id":"sha256:38d630bc8466a80cb44421799541d32312e46dfb84f633eeda0bbb8ce11c8e03"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:TCXB3Y3HDLAHGM776K3HDKZQOA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Building A Facial Identification System Using Quantum Machine Learning Techniques","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.ET"],"primary_cat":"quant-ph","authors_text":"Ahmed Bouridane, Ammar Belatreche, Philip Easom-McCaldin, Richard Jiang","submitted_at":"2020-08-26T20:58:50Z","abstract_excerpt":"In the modern world, facial identification is an extremely important task in which many applications rely on high performing algorithms to detect faces efficiently. Whilst classical methods of SVM and k-NN commonly used may perform to a good standard, they are often highly complex and take substantial computing power to run effectively. With the rise of quantum computing boasting large speedups without sacrificing large amounts of much needed performance, we aim to explore the benefits that quantum machine learning techniques can bring when specifically targeted towards facial identification a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.12616","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/2008.12616/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":"2026-07-05T01:31:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qe7uRuamj+H1vWCxieRvC/ZGTXYKCGyko0rIDORr4lZl4Y1/+KFbSVIfFlorUTy8U8p9fqdg9GSIIvowcYFBAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T23:54:50.022830Z"},"content_sha256":"4b2e9937be5b072fa41f8942bc19da1208e032b3f08993f45fd1ef9e92202161","schema_version":"1.0","event_id":"sha256:4b2e9937be5b072fa41f8942bc19da1208e032b3f08993f45fd1ef9e92202161"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TCXB3Y3HDLAHGM776K3HDKZQOA/bundle.json","state_url":"https://pith.science/pith/TCXB3Y3HDLAHGM776K3HDKZQOA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TCXB3Y3HDLAHGM776K3HDKZQOA/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":"2026-07-09T23:54:50Z","links":{"resolver":"https://pith.science/pith/TCXB3Y3HDLAHGM776K3HDKZQOA","bundle":"https://pith.science/pith/TCXB3Y3HDLAHGM776K3HDKZQOA/bundle.json","state":"https://pith.science/pith/TCXB3Y3HDLAHGM776K3HDKZQOA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TCXB3Y3HDLAHGM776K3HDKZQOA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:TCXB3Y3HDLAHGM776K3HDKZQOA","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":"75403c687b2c436b5f1d6beba63b96cc50d9d30c5ed35417c45ea181885d6241","cross_cats_sorted":["cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2020-08-26T20:58:50Z","title_canon_sha256":"df7d3f27cd05a6afbab76b0333df1c1bf4324e4619f16fd5e3914f79dc401c15"},"schema_version":"1.0","source":{"id":"2008.12616","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.12616","created_at":"2026-07-05T01:31:17Z"},{"alias_kind":"arxiv_version","alias_value":"2008.12616v1","created_at":"2026-07-05T01:31:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.12616","created_at":"2026-07-05T01:31:17Z"},{"alias_kind":"pith_short_12","alias_value":"TCXB3Y3HDLAH","created_at":"2026-07-05T01:31:17Z"},{"alias_kind":"pith_short_16","alias_value":"TCXB3Y3HDLAHGM77","created_at":"2026-07-05T01:31:17Z"},{"alias_kind":"pith_short_8","alias_value":"TCXB3Y3H","created_at":"2026-07-05T01:31:17Z"}],"graph_snapshots":[{"event_id":"sha256:4b2e9937be5b072fa41f8942bc19da1208e032b3f08993f45fd1ef9e92202161","target":"graph","created_at":"2026-07-05T01:31:17Z","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/2008.12616/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the modern world, facial identification is an extremely important task in which many applications rely on high performing algorithms to detect faces efficiently. Whilst classical methods of SVM and k-NN commonly used may perform to a good standard, they are often highly complex and take substantial computing power to run effectively. With the rise of quantum computing boasting large speedups without sacrificing large amounts of much needed performance, we aim to explore the benefits that quantum machine learning techniques can bring when specifically targeted towards facial identification a","authors_text":"Ahmed Bouridane, Ammar Belatreche, Philip Easom-McCaldin, Richard Jiang","cross_cats":["cs.ET"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2020-08-26T20:58:50Z","title":"Towards Building A Facial Identification System Using Quantum Machine Learning Techniques"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.12616","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":"sha256:38d630bc8466a80cb44421799541d32312e46dfb84f633eeda0bbb8ce11c8e03","target":"record","created_at":"2026-07-05T01:31:17Z","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":"75403c687b2c436b5f1d6beba63b96cc50d9d30c5ed35417c45ea181885d6241","cross_cats_sorted":["cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2020-08-26T20:58:50Z","title_canon_sha256":"df7d3f27cd05a6afbab76b0333df1c1bf4324e4619f16fd5e3914f79dc401c15"},"schema_version":"1.0","source":{"id":"2008.12616","kind":"arxiv","version":1}},"canonical_sha256":"98ae1de3671ac07333fff2b671ab307019eb8eff6168433c2a7cedb89cd1f663","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"98ae1de3671ac07333fff2b671ab307019eb8eff6168433c2a7cedb89cd1f663","first_computed_at":"2026-07-05T01:31:17.164155Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:31:17.164155Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pBjZvn9h+H9muCvePZlWhy/IoKRZMgvqZR8jDxOyts2EjRGoYiLE8MTiqX2Wtfiykn+gazGEx4sC/vpA29eNAw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:31:17.164608Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.12616","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38d630bc8466a80cb44421799541d32312e46dfb84f633eeda0bbb8ce11c8e03","sha256:4b2e9937be5b072fa41f8942bc19da1208e032b3f08993f45fd1ef9e92202161"],"state_sha256":"af983058a658b40184613967e0c183fbc3484741adfdd9af54f5c0c8d8c8d4d7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xL8xP+hCqz13Tifc2lmTQhmy7bj2RiXUsbltZi5cpla2+L0oLqp15zgLDtUONJXaMbljTMbsX7iBKERWpkxxDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T23:54:50.024876Z","bundle_sha256":"838c87b77394703e90a33e4d6e27885cfedd9af141d00e493a5ec91ee252db8b"}}