{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:C5RNW7M2OD7V3XTKBFRZWEXL2T","short_pith_number":"pith:C5RNW7M2","canonical_record":{"source":{"id":"2105.00080","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"quant-ph","submitted_at":"2021-04-30T20:38:41Z","cross_cats_sorted":[],"title_canon_sha256":"74fb4a111c99f396163c8ad8ab5877d0247f4bde3f9260b0d876162ece853a43","abstract_canon_sha256":"c3afe6ad2a48b931b66b26078cbadfc6c92a0211cfb037a024f17322f1c2c1f2"},"schema_version":"1.0"},"canonical_sha256":"1762db7d9a70ff5dde6a09639b12ebd4c76bbd73ed7b52762bdf346ebb5c4ebe","source":{"kind":"arxiv","id":"2105.00080","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.00080","created_at":"2026-07-05T02:42:30Z"},{"alias_kind":"arxiv_version","alias_value":"2105.00080v2","created_at":"2026-07-05T02:42:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.00080","created_at":"2026-07-05T02:42:30Z"},{"alias_kind":"pith_short_12","alias_value":"C5RNW7M2OD7V","created_at":"2026-07-05T02:42:30Z"},{"alias_kind":"pith_short_16","alias_value":"C5RNW7M2OD7V3XTK","created_at":"2026-07-05T02:42:30Z"},{"alias_kind":"pith_short_8","alias_value":"C5RNW7M2","created_at":"2026-07-05T02:42:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:C5RNW7M2OD7V3XTKBFRZWEXL2T","target":"record","payload":{"canonical_record":{"source":{"id":"2105.00080","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"quant-ph","submitted_at":"2021-04-30T20:38:41Z","cross_cats_sorted":[],"title_canon_sha256":"74fb4a111c99f396163c8ad8ab5877d0247f4bde3f9260b0d876162ece853a43","abstract_canon_sha256":"c3afe6ad2a48b931b66b26078cbadfc6c92a0211cfb037a024f17322f1c2c1f2"},"schema_version":"1.0"},"canonical_sha256":"1762db7d9a70ff5dde6a09639b12ebd4c76bbd73ed7b52762bdf346ebb5c4ebe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:42:30.388241Z","signature_b64":"c8kwnCLK2/kBA8b16bpkg4ApIJaI6QJLc4zEFMsiaoKXYRD4pXK3psM7KZMJlUfk1r8p6c6vGTk3Jc27q4rPDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1762db7d9a70ff5dde6a09639b12ebd4c76bbd73ed7b52762bdf346ebb5c4ebe","last_reissued_at":"2026-07-05T02:42:30.387799Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:42:30.387799Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2105.00080","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":"2026-07-05T02:42:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vW2o4pKgODExlGAyVbRNphBFP4ta8cK4RQFWLpnOMZnKHwIFdtswXumCWDj7rNvVQ3hzm5v0id6BrjLVbQ1wDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T03:45:47.022388Z"},"content_sha256":"c070785904359cf482969bf8b19b7ba4b7567f375aa05fcc203185f7f8627049","schema_version":"1.0","event_id":"sha256:c070785904359cf482969bf8b19b7ba4b7567f375aa05fcc203185f7f8627049"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:C5RNW7M2OD7V3XTKBFRZWEXL2T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Entangling Quantum Generative Adversarial Networks","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Alexander Zlokapa, Hartmut Neven, Masoud Mohseni, Michael Broughton, Murphy Yuezhen Niu, Sergio Boixo, Vadim Smelyanskyi","submitted_at":"2021-04-30T20:38:41Z","abstract_excerpt":"Generative adversarial networks (GANs) are one of the most widely adopted semisupervised and unsupervised machine learning methods for high-definition image, video, and audio generation. In this work, we propose a new type of architecture for quantum generative adversarial networks (entangling quantum GAN, EQ-GAN) that overcomes some limitations of previously proposed quantum GANs. Leveraging the entangling power of quantum circuits, EQ-GAN guarantees the convergence to a Nash equilibrium under minimax optimization of the discriminator and generator circuits by performing entangling operations"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.00080","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/2105.00080/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":"2026-07-05T02:42:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bVk3yA7yM1SkAjuTj96a/GRhWh/cvvkLKpMLED4QBFvKAongVs4MhfzaeJnIutnlI08KLz65T7+1WdG2KK7lCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T03:45:47.022894Z"},"content_sha256":"f59a370c75354ee66c5375fa850e49469bfbc7e07320c3eb68779928dc8dd5ea","schema_version":"1.0","event_id":"sha256:f59a370c75354ee66c5375fa850e49469bfbc7e07320c3eb68779928dc8dd5ea"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C5RNW7M2OD7V3XTKBFRZWEXL2T/bundle.json","state_url":"https://pith.science/pith/C5RNW7M2OD7V3XTKBFRZWEXL2T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C5RNW7M2OD7V3XTKBFRZWEXL2T/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":"2026-08-22T03:45:47Z","links":{"resolver":"https://pith.science/pith/C5RNW7M2OD7V3XTKBFRZWEXL2T","bundle":"https://pith.science/pith/C5RNW7M2OD7V3XTKBFRZWEXL2T/bundle.json","state":"https://pith.science/pith/C5RNW7M2OD7V3XTKBFRZWEXL2T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C5RNW7M2OD7V3XTKBFRZWEXL2T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:C5RNW7M2OD7V3XTKBFRZWEXL2T","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":"c3afe6ad2a48b931b66b26078cbadfc6c92a0211cfb037a024f17322f1c2c1f2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"quant-ph","submitted_at":"2021-04-30T20:38:41Z","title_canon_sha256":"74fb4a111c99f396163c8ad8ab5877d0247f4bde3f9260b0d876162ece853a43"},"schema_version":"1.0","source":{"id":"2105.00080","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.00080","created_at":"2026-07-05T02:42:30Z"},{"alias_kind":"arxiv_version","alias_value":"2105.00080v2","created_at":"2026-07-05T02:42:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.00080","created_at":"2026-07-05T02:42:30Z"},{"alias_kind":"pith_short_12","alias_value":"C5RNW7M2OD7V","created_at":"2026-07-05T02:42:30Z"},{"alias_kind":"pith_short_16","alias_value":"C5RNW7M2OD7V3XTK","created_at":"2026-07-05T02:42:30Z"},{"alias_kind":"pith_short_8","alias_value":"C5RNW7M2","created_at":"2026-07-05T02:42:30Z"}],"graph_snapshots":[{"event_id":"sha256:f59a370c75354ee66c5375fa850e49469bfbc7e07320c3eb68779928dc8dd5ea","target":"graph","created_at":"2026-07-05T02:42:30Z","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/2105.00080/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative adversarial networks (GANs) are one of the most widely adopted semisupervised and unsupervised machine learning methods for high-definition image, video, and audio generation. In this work, we propose a new type of architecture for quantum generative adversarial networks (entangling quantum GAN, EQ-GAN) that overcomes some limitations of previously proposed quantum GANs. Leveraging the entangling power of quantum circuits, EQ-GAN guarantees the convergence to a Nash equilibrium under minimax optimization of the discriminator and generator circuits by performing entangling operations","authors_text":"Alexander Zlokapa, Hartmut Neven, Masoud Mohseni, Michael Broughton, Murphy Yuezhen Niu, Sergio Boixo, Vadim Smelyanskyi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"quant-ph","submitted_at":"2021-04-30T20:38:41Z","title":"Entangling Quantum Generative Adversarial Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.00080","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:c070785904359cf482969bf8b19b7ba4b7567f375aa05fcc203185f7f8627049","target":"record","created_at":"2026-07-05T02:42:30Z","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":"c3afe6ad2a48b931b66b26078cbadfc6c92a0211cfb037a024f17322f1c2c1f2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"quant-ph","submitted_at":"2021-04-30T20:38:41Z","title_canon_sha256":"74fb4a111c99f396163c8ad8ab5877d0247f4bde3f9260b0d876162ece853a43"},"schema_version":"1.0","source":{"id":"2105.00080","kind":"arxiv","version":2}},"canonical_sha256":"1762db7d9a70ff5dde6a09639b12ebd4c76bbd73ed7b52762bdf346ebb5c4ebe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1762db7d9a70ff5dde6a09639b12ebd4c76bbd73ed7b52762bdf346ebb5c4ebe","first_computed_at":"2026-07-05T02:42:30.387799Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:42:30.387799Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c8kwnCLK2/kBA8b16bpkg4ApIJaI6QJLc4zEFMsiaoKXYRD4pXK3psM7KZMJlUfk1r8p6c6vGTk3Jc27q4rPDA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:42:30.388241Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.00080","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c070785904359cf482969bf8b19b7ba4b7567f375aa05fcc203185f7f8627049","sha256:f59a370c75354ee66c5375fa850e49469bfbc7e07320c3eb68779928dc8dd5ea"],"state_sha256":"5e34c87a0712849d92d691095564885afdf78a8118c4e3efba6aefbce62ca0e9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HUxrafQYe7LcPysmPtEtKj2B9m+d5uTnCMx4JfYaB0WFeo9KfJlXjvtIbYCecTxIPvo3/EvG8cBTn13S8sCQCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T03:45:47.029317Z","bundle_sha256":"e65060b3b233b8dad2c0634b6b2afb5822cac37ddfe8c001f48934e165e3b18f"}}