{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:SOY6JC5URILMYYSEDVSX26WINO","short_pith_number":"pith:SOY6JC5U","canonical_record":{"source":{"id":"2211.01477","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-11-02T20:57:55Z","cross_cats_sorted":[],"title_canon_sha256":"5823355a8eb66d882d61aba298c92a3fe719f3fab9760f4e17a99c7fa735678f","abstract_canon_sha256":"a5eb7e656837613d3d12307c6e4cc00eb7450782f9f3af5c64e40547161f8dc3"},"schema_version":"1.0"},"canonical_sha256":"93b1e48bb48a16cc62441d657d7ac86bacb005a9c53ad4fce3c4295b8c324b98","source":{"kind":"arxiv","id":"2211.01477","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.01477","created_at":"2026-07-05T10:08:51Z"},{"alias_kind":"arxiv_version","alias_value":"2211.01477v2","created_at":"2026-07-05T10:08:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.01477","created_at":"2026-07-05T10:08:51Z"},{"alias_kind":"pith_short_12","alias_value":"SOY6JC5URILM","created_at":"2026-07-05T10:08:51Z"},{"alias_kind":"pith_short_16","alias_value":"SOY6JC5URILMYYSE","created_at":"2026-07-05T10:08:51Z"},{"alias_kind":"pith_short_8","alias_value":"SOY6JC5U","created_at":"2026-07-05T10:08:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:SOY6JC5URILMYYSEDVSX26WINO","target":"record","payload":{"canonical_record":{"source":{"id":"2211.01477","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-11-02T20:57:55Z","cross_cats_sorted":[],"title_canon_sha256":"5823355a8eb66d882d61aba298c92a3fe719f3fab9760f4e17a99c7fa735678f","abstract_canon_sha256":"a5eb7e656837613d3d12307c6e4cc00eb7450782f9f3af5c64e40547161f8dc3"},"schema_version":"1.0"},"canonical_sha256":"93b1e48bb48a16cc62441d657d7ac86bacb005a9c53ad4fce3c4295b8c324b98","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:08:51.783174Z","signature_b64":"YnuS0CfWFmNCgV74n/T6KBQbXOANkdvxLHIzEfuUVblSrVRfoa2qVzn4mHngZtUDvYqtM5kZaUyGBd5G04r4Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"93b1e48bb48a16cc62441d657d7ac86bacb005a9c53ad4fce3c4295b8c324b98","last_reissued_at":"2026-07-05T10:08:51.782739Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:08:51.782739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.01477","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":"2026-07-05T10:08:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DNN+LfCSyWaLuulk1DgxL+fYvjXBg7N6WzkLLFCqV5pgqPknDk7yM13JrAnrsWsrRXewsajZqgLy373fAU8/AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:14:12.001965Z"},"content_sha256":"79ea8ca55ed1b9a8f9f6dc79284a8b099a5392c54168f34674850e3b33a15df1","schema_version":"1.0","event_id":"sha256:79ea8ca55ed1b9a8f9f6dc79284a8b099a5392c54168f34674850e3b33a15df1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:SOY6JC5URILMYYSEDVSX26WINO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On the practical usefulness of the Hardware Efficient Ansatz","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Lorenzo Leone, Lukasz Cincio, M. Cerezo, Salvatore F.E. Oliviero","submitted_at":"2022-11-02T20:57:55Z","abstract_excerpt":"Variational Quantum Algorithms (VQAs) and Quantum Machine Learning (QML) models train a parametrized quantum circuit to solve a given learning task. The success of these algorithms greatly hinges on appropriately choosing an ansatz for the quantum circuit. Perhaps one of the most famous ansatzes is the one-dimensional layered Hardware Efficient Ansatz (HEA), which seeks to minimize the effect of hardware noise by using native gates and connectives. The use of this HEA has generated a certain ambivalence arising from the fact that while it suffers from barren plateaus at long depths, it can als"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.01477","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/2211.01477/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":"2026-07-05T10:08:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+pSarJUh5CoMHiJR2FH2xXhqxT1Mzvnvat/ZQ99JmMD8WIlMDKDzG6C9v18eWjWFyyeLc8GQQLxZP1+MG1VLBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:14:12.003948Z"},"content_sha256":"cb8476686cae2e0ce3ca36decffd6f095c287a24aa3e2c58d0937c83d063b8a0","schema_version":"1.0","event_id":"sha256:cb8476686cae2e0ce3ca36decffd6f095c287a24aa3e2c58d0937c83d063b8a0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SOY6JC5URILMYYSEDVSX26WINO/bundle.json","state_url":"https://pith.science/pith/SOY6JC5URILMYYSEDVSX26WINO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SOY6JC5URILMYYSEDVSX26WINO/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":"2026-08-07T10:14:12Z","links":{"resolver":"https://pith.science/pith/SOY6JC5URILMYYSEDVSX26WINO","bundle":"https://pith.science/pith/SOY6JC5URILMYYSEDVSX26WINO/bundle.json","state":"https://pith.science/pith/SOY6JC5URILMYYSEDVSX26WINO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SOY6JC5URILMYYSEDVSX26WINO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:SOY6JC5URILMYYSEDVSX26WINO","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":"a5eb7e656837613d3d12307c6e4cc00eb7450782f9f3af5c64e40547161f8dc3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-11-02T20:57:55Z","title_canon_sha256":"5823355a8eb66d882d61aba298c92a3fe719f3fab9760f4e17a99c7fa735678f"},"schema_version":"1.0","source":{"id":"2211.01477","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.01477","created_at":"2026-07-05T10:08:51Z"},{"alias_kind":"arxiv_version","alias_value":"2211.01477v2","created_at":"2026-07-05T10:08:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.01477","created_at":"2026-07-05T10:08:51Z"},{"alias_kind":"pith_short_12","alias_value":"SOY6JC5URILM","created_at":"2026-07-05T10:08:51Z"},{"alias_kind":"pith_short_16","alias_value":"SOY6JC5URILMYYSE","created_at":"2026-07-05T10:08:51Z"},{"alias_kind":"pith_short_8","alias_value":"SOY6JC5U","created_at":"2026-07-05T10:08:51Z"}],"graph_snapshots":[{"event_id":"sha256:cb8476686cae2e0ce3ca36decffd6f095c287a24aa3e2c58d0937c83d063b8a0","target":"graph","created_at":"2026-07-05T10:08:51Z","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/2211.01477/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Variational Quantum Algorithms (VQAs) and Quantum Machine Learning (QML) models train a parametrized quantum circuit to solve a given learning task. The success of these algorithms greatly hinges on appropriately choosing an ansatz for the quantum circuit. Perhaps one of the most famous ansatzes is the one-dimensional layered Hardware Efficient Ansatz (HEA), which seeks to minimize the effect of hardware noise by using native gates and connectives. The use of this HEA has generated a certain ambivalence arising from the fact that while it suffers from barren plateaus at long depths, it can als","authors_text":"Lorenzo Leone, Lukasz Cincio, M. Cerezo, Salvatore F.E. Oliviero","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-11-02T20:57:55Z","title":"On the practical usefulness of the Hardware Efficient Ansatz"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.01477","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":"sha256:79ea8ca55ed1b9a8f9f6dc79284a8b099a5392c54168f34674850e3b33a15df1","target":"record","created_at":"2026-07-05T10:08:51Z","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":"a5eb7e656837613d3d12307c6e4cc00eb7450782f9f3af5c64e40547161f8dc3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-11-02T20:57:55Z","title_canon_sha256":"5823355a8eb66d882d61aba298c92a3fe719f3fab9760f4e17a99c7fa735678f"},"schema_version":"1.0","source":{"id":"2211.01477","kind":"arxiv","version":2}},"canonical_sha256":"93b1e48bb48a16cc62441d657d7ac86bacb005a9c53ad4fce3c4295b8c324b98","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93b1e48bb48a16cc62441d657d7ac86bacb005a9c53ad4fce3c4295b8c324b98","first_computed_at":"2026-07-05T10:08:51.782739Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:08:51.782739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YnuS0CfWFmNCgV74n/T6KBQbXOANkdvxLHIzEfuUVblSrVRfoa2qVzn4mHngZtUDvYqtM5kZaUyGBd5G04r4Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:08:51.783174Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.01477","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:79ea8ca55ed1b9a8f9f6dc79284a8b099a5392c54168f34674850e3b33a15df1","sha256:cb8476686cae2e0ce3ca36decffd6f095c287a24aa3e2c58d0937c83d063b8a0"],"state_sha256":"3f29cd611d422c44771fbde397398ca042b8b13ee95316a0d0a3ac9ae2083c28"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5/6dShQyAEp9/dFUiR+gIqPqFjRJViCTAAr464PVU8FU/K6/r5XejbcimXXT+p/wLgtYAv9zfBj9A7VAG/TGBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:14:12.010726Z","bundle_sha256":"6bae18461fc3dcc1f6a574a9bb9b5331c66df7ab7c2568e03eb669a9e96657d2"}}