{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:REEWUCJRK5DM6LG4BTAOAXJRJA","short_pith_number":"pith:REEWUCJR","canonical_record":{"source":{"id":"2309.16972","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-09-29T04:42:11Z","cross_cats_sorted":["cs.AI","cs.ET","cs.LG"],"title_canon_sha256":"fbdff5ef6b71d9f8dbd0310497885dc2a51c43d39a2af341d6393bb8489b58dd","abstract_canon_sha256":"1d52ca5178c314ad62145a5a6fc6149d86822dff8e77d527fb348552f8a9c985"},"schema_version":"1.0"},"canonical_sha256":"89096a09315746cf2cdc0cc0e05d31482fb593ddc96d3f7a9b754a1408a7e8f8","source":{"kind":"arxiv","id":"2309.16972","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.16972","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"arxiv_version","alias_value":"2309.16972v1","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.16972","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"pith_short_12","alias_value":"REEWUCJRK5DM","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"pith_short_16","alias_value":"REEWUCJRK5DM6LG4","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"pith_short_8","alias_value":"REEWUCJR","created_at":"2026-07-05T08:18:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:REEWUCJRK5DM6LG4BTAOAXJRJA","target":"record","payload":{"canonical_record":{"source":{"id":"2309.16972","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-09-29T04:42:11Z","cross_cats_sorted":["cs.AI","cs.ET","cs.LG"],"title_canon_sha256":"fbdff5ef6b71d9f8dbd0310497885dc2a51c43d39a2af341d6393bb8489b58dd","abstract_canon_sha256":"1d52ca5178c314ad62145a5a6fc6149d86822dff8e77d527fb348552f8a9c985"},"schema_version":"1.0"},"canonical_sha256":"89096a09315746cf2cdc0cc0e05d31482fb593ddc96d3f7a9b754a1408a7e8f8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:18:00.221014Z","signature_b64":"X9sNFeiOxyEgC1BR1peALONPvC93qdPyhR3BX/hqez4+PVfkov0cyIdmOooQf50nwdB7QBfWg9iRJDorJI/gAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"89096a09315746cf2cdc0cc0e05d31482fb593ddc96d3f7a9b754a1408a7e8f8","last_reissued_at":"2026-07-05T08:18:00.220584Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:18:00.220584Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.16972","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":"2026-07-05T08:18:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CFNUCMwmXlgo7QCpzLEM64PiJ1O2ygH8tzJkYqMYBkurOMtpO9zqb4389DSXH/tbqQoWXQ6ykWqqaaT9RjshCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:53:23.550629Z"},"content_sha256":"debcae9a3eb26a8a5b3cba92fb8bdb0afd3870f1d7aa8925c5636cb33ed66c10","schema_version":"1.0","event_id":"sha256:debcae9a3eb26a8a5b3cba92fb8bdb0afd3870f1d7aa8925c5636cb33ed66c10"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:REEWUCJRK5DM6LG4BTAOAXJRJA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Quantum States Preparation Method Based on Difference-Driven Reinforcement Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.ET","cs.LG"],"primary_cat":"quant-ph","authors_text":"Bosi Wang, Jing Xu, Wenjie Liu","submitted_at":"2023-09-29T04:42:11Z","abstract_excerpt":"Due to the large state space of the two-qubit system, and the adoption of ladder reward function in the existing quantum state preparation methods, the convergence speed is slow and it is difficult to prepare the desired target quantum state with high fidelity under limited conditions. To solve the above problems, a difference-driven reinforcement learning (RL) algorithm for quantum state preparation of two-qubit system is proposed by improving the reward function and action selection strategy. Firstly, a model is constructed for the problem of preparing quantum states of a two-qubit system, w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.16972","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/2309.16972/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":"2026-07-05T08:18:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"97lCkyLD0N5o0TEvCDJSxdWYnnY5r0XI/gIgVs2FQ7ITq+3QU/IvniquO5wiAgjyd5KsfBN/aWH3yDn5fG+qBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:53:23.550936Z"},"content_sha256":"244da4aca7aa8e4ca13630c58545d242e73276d59fe5a47c6d51b82a5631526e","schema_version":"1.0","event_id":"sha256:244da4aca7aa8e4ca13630c58545d242e73276d59fe5a47c6d51b82a5631526e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/REEWUCJRK5DM6LG4BTAOAXJRJA/bundle.json","state_url":"https://pith.science/pith/REEWUCJRK5DM6LG4BTAOAXJRJA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/REEWUCJRK5DM6LG4BTAOAXJRJA/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":"2026-08-06T01:53:23Z","links":{"resolver":"https://pith.science/pith/REEWUCJRK5DM6LG4BTAOAXJRJA","bundle":"https://pith.science/pith/REEWUCJRK5DM6LG4BTAOAXJRJA/bundle.json","state":"https://pith.science/pith/REEWUCJRK5DM6LG4BTAOAXJRJA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/REEWUCJRK5DM6LG4BTAOAXJRJA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:REEWUCJRK5DM6LG4BTAOAXJRJA","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":"1d52ca5178c314ad62145a5a6fc6149d86822dff8e77d527fb348552f8a9c985","cross_cats_sorted":["cs.AI","cs.ET","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-09-29T04:42:11Z","title_canon_sha256":"fbdff5ef6b71d9f8dbd0310497885dc2a51c43d39a2af341d6393bb8489b58dd"},"schema_version":"1.0","source":{"id":"2309.16972","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.16972","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"arxiv_version","alias_value":"2309.16972v1","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.16972","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"pith_short_12","alias_value":"REEWUCJRK5DM","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"pith_short_16","alias_value":"REEWUCJRK5DM6LG4","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"pith_short_8","alias_value":"REEWUCJR","created_at":"2026-07-05T08:18:00Z"}],"graph_snapshots":[{"event_id":"sha256:244da4aca7aa8e4ca13630c58545d242e73276d59fe5a47c6d51b82a5631526e","target":"graph","created_at":"2026-07-05T08:18:00Z","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/2309.16972/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Due to the large state space of the two-qubit system, and the adoption of ladder reward function in the existing quantum state preparation methods, the convergence speed is slow and it is difficult to prepare the desired target quantum state with high fidelity under limited conditions. To solve the above problems, a difference-driven reinforcement learning (RL) algorithm for quantum state preparation of two-qubit system is proposed by improving the reward function and action selection strategy. Firstly, a model is constructed for the problem of preparing quantum states of a two-qubit system, w","authors_text":"Bosi Wang, Jing Xu, Wenjie Liu","cross_cats":["cs.AI","cs.ET","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-09-29T04:42:11Z","title":"A Quantum States Preparation Method Based on Difference-Driven Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.16972","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:debcae9a3eb26a8a5b3cba92fb8bdb0afd3870f1d7aa8925c5636cb33ed66c10","target":"record","created_at":"2026-07-05T08:18:00Z","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":"1d52ca5178c314ad62145a5a6fc6149d86822dff8e77d527fb348552f8a9c985","cross_cats_sorted":["cs.AI","cs.ET","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-09-29T04:42:11Z","title_canon_sha256":"fbdff5ef6b71d9f8dbd0310497885dc2a51c43d39a2af341d6393bb8489b58dd"},"schema_version":"1.0","source":{"id":"2309.16972","kind":"arxiv","version":1}},"canonical_sha256":"89096a09315746cf2cdc0cc0e05d31482fb593ddc96d3f7a9b754a1408a7e8f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"89096a09315746cf2cdc0cc0e05d31482fb593ddc96d3f7a9b754a1408a7e8f8","first_computed_at":"2026-07-05T08:18:00.220584Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:18:00.220584Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"X9sNFeiOxyEgC1BR1peALONPvC93qdPyhR3BX/hqez4+PVfkov0cyIdmOooQf50nwdB7QBfWg9iRJDorJI/gAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:18:00.221014Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.16972","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:debcae9a3eb26a8a5b3cba92fb8bdb0afd3870f1d7aa8925c5636cb33ed66c10","sha256:244da4aca7aa8e4ca13630c58545d242e73276d59fe5a47c6d51b82a5631526e"],"state_sha256":"3be60a0907902dc9b6f2f58df9b1cbf46e3ba9d194522d1e96d364cc75d430d7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sm2/UXGsgJKQ0A6xFujQca/DKeOyuW1p/952JZbIIE7g/Gzh1mS11vnGQOiOlrh7m7NE9P4EDcjeU3gQpK7ADg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T01:53:23.554520Z","bundle_sha256":"b4964092c230f3505e010f6541c0a695f45bcec2f5670221a1c71d971cc0c2a0"}}