{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:SMZHVGBMZPXM4SM544ASGTWMHD","short_pith_number":"pith:SMZHVGBM","canonical_record":{"source":{"id":"2206.14420","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-06-29T06:30:35Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"0f106e6cdf4a7d6d9ba2241ede42a0826a7395917af84779683e20afde960619","abstract_canon_sha256":"dfafbfeff79d610dc591c1897aeba07e58374ba91e16a1dd4209c4f00c8ee78c"},"schema_version":"1.0"},"canonical_sha256":"93327a982ccbeece499de701234ecc38e82a3949c2c312a7ecc0a8b4efcf8499","source":{"kind":"arxiv","id":"2206.14420","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.14420","created_at":"2026-07-05T04:36:04Z"},{"alias_kind":"arxiv_version","alias_value":"2206.14420v1","created_at":"2026-07-05T04:36:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.14420","created_at":"2026-07-05T04:36:04Z"},{"alias_kind":"pith_short_12","alias_value":"SMZHVGBMZPXM","created_at":"2026-07-05T04:36:04Z"},{"alias_kind":"pith_short_16","alias_value":"SMZHVGBMZPXM4SM5","created_at":"2026-07-05T04:36:04Z"},{"alias_kind":"pith_short_8","alias_value":"SMZHVGBM","created_at":"2026-07-05T04:36:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:SMZHVGBMZPXM4SM544ASGTWMHD","target":"record","payload":{"canonical_record":{"source":{"id":"2206.14420","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-06-29T06:30:35Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"0f106e6cdf4a7d6d9ba2241ede42a0826a7395917af84779683e20afde960619","abstract_canon_sha256":"dfafbfeff79d610dc591c1897aeba07e58374ba91e16a1dd4209c4f00c8ee78c"},"schema_version":"1.0"},"canonical_sha256":"93327a982ccbeece499de701234ecc38e82a3949c2c312a7ecc0a8b4efcf8499","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:36:04.072245Z","signature_b64":"DKZ/SP1RT0YK/c+rEhhBNtcrbigmS0jyME9rN1obCs7VmaEKaEwbRZnJDOVqtn7TyfgakSJun7iW3GsknGh8CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"93327a982ccbeece499de701234ecc38e82a3949c2c312a7ecc0a8b4efcf8499","last_reissued_at":"2026-07-05T04:36:04.071823Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:36:04.071823Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.14420","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":"2026-07-05T04:36:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gTj1EnA+UD68pvgd+WzqXCHgEciuVUkkDeusQRUfxlTFJ7MuwIKuhIUsd/X6YLB0/kMuLjbU5hYDE/033D5+Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T13:17:58.688403Z"},"content_sha256":"0a2a6bd1ed0958a8761582ebe01db3579b94dd247bd9ba6a8c098937cf748c24","schema_version":"1.0","event_id":"sha256:0a2a6bd1ed0958a8761582ebe01db3579b94dd247bd9ba6a8c098937cf748c24"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:SMZHVGBMZPXM4SM544ASGTWMHD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust optimization for quantum reinforcement learning control using partial observations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"quant-ph","authors_text":"Chen Jiang, Daoyi Dong, Qing Gao, Yu Pan, Zheng-Guang Wu","submitted_at":"2022-06-29T06:30:35Z","abstract_excerpt":"The current quantum reinforcement learning control models often assume that the quantum states are known a priori for control optimization. However, full observation of quantum state is experimentally infeasible due to the exponential scaling of the number of required quantum measurements on the number of qubits. In this paper, we investigate a robust reinforcement learning method using partial observations to overcome this difficulty. This control scheme is compatible with near-term quantum devices, where the noise is prevalent and predetermining the dynamics of quantum state is practically i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.14420","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/2206.14420/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":"2026-07-05T04:36:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IGzTqi8thuzoe9e+PCUYrFJhoyUMoN46dMg9MezrWq4xOjJKZLvQ4xOoj09uxQKJKVqeqnOPEL9zKfLbZpe1BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T13:17:58.689023Z"},"content_sha256":"c9cfa35522c73b338396987c157f9158f7e358250ae26e8d1c46d9293ef38425","schema_version":"1.0","event_id":"sha256:c9cfa35522c73b338396987c157f9158f7e358250ae26e8d1c46d9293ef38425"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SMZHVGBMZPXM4SM544ASGTWMHD/bundle.json","state_url":"https://pith.science/pith/SMZHVGBMZPXM4SM544ASGTWMHD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SMZHVGBMZPXM4SM544ASGTWMHD/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":"2026-08-06T13:17:58Z","links":{"resolver":"https://pith.science/pith/SMZHVGBMZPXM4SM544ASGTWMHD","bundle":"https://pith.science/pith/SMZHVGBMZPXM4SM544ASGTWMHD/bundle.json","state":"https://pith.science/pith/SMZHVGBMZPXM4SM544ASGTWMHD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SMZHVGBMZPXM4SM544ASGTWMHD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:SMZHVGBMZPXM4SM544ASGTWMHD","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":"dfafbfeff79d610dc591c1897aeba07e58374ba91e16a1dd4209c4f00c8ee78c","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-06-29T06:30:35Z","title_canon_sha256":"0f106e6cdf4a7d6d9ba2241ede42a0826a7395917af84779683e20afde960619"},"schema_version":"1.0","source":{"id":"2206.14420","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.14420","created_at":"2026-07-05T04:36:04Z"},{"alias_kind":"arxiv_version","alias_value":"2206.14420v1","created_at":"2026-07-05T04:36:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.14420","created_at":"2026-07-05T04:36:04Z"},{"alias_kind":"pith_short_12","alias_value":"SMZHVGBMZPXM","created_at":"2026-07-05T04:36:04Z"},{"alias_kind":"pith_short_16","alias_value":"SMZHVGBMZPXM4SM5","created_at":"2026-07-05T04:36:04Z"},{"alias_kind":"pith_short_8","alias_value":"SMZHVGBM","created_at":"2026-07-05T04:36:04Z"}],"graph_snapshots":[{"event_id":"sha256:c9cfa35522c73b338396987c157f9158f7e358250ae26e8d1c46d9293ef38425","target":"graph","created_at":"2026-07-05T04:36:04Z","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/2206.14420/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The current quantum reinforcement learning control models often assume that the quantum states are known a priori for control optimization. However, full observation of quantum state is experimentally infeasible due to the exponential scaling of the number of required quantum measurements on the number of qubits. In this paper, we investigate a robust reinforcement learning method using partial observations to overcome this difficulty. This control scheme is compatible with near-term quantum devices, where the noise is prevalent and predetermining the dynamics of quantum state is practically i","authors_text":"Chen Jiang, Daoyi Dong, Qing Gao, Yu Pan, Zheng-Guang Wu","cross_cats":["cs.SY","eess.SY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-06-29T06:30:35Z","title":"Robust optimization for quantum reinforcement learning control using partial observations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.14420","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":"sha256:0a2a6bd1ed0958a8761582ebe01db3579b94dd247bd9ba6a8c098937cf748c24","target":"record","created_at":"2026-07-05T04:36:04Z","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":"dfafbfeff79d610dc591c1897aeba07e58374ba91e16a1dd4209c4f00c8ee78c","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-06-29T06:30:35Z","title_canon_sha256":"0f106e6cdf4a7d6d9ba2241ede42a0826a7395917af84779683e20afde960619"},"schema_version":"1.0","source":{"id":"2206.14420","kind":"arxiv","version":1}},"canonical_sha256":"93327a982ccbeece499de701234ecc38e82a3949c2c312a7ecc0a8b4efcf8499","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93327a982ccbeece499de701234ecc38e82a3949c2c312a7ecc0a8b4efcf8499","first_computed_at":"2026-07-05T04:36:04.071823Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:36:04.071823Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DKZ/SP1RT0YK/c+rEhhBNtcrbigmS0jyME9rN1obCs7VmaEKaEwbRZnJDOVqtn7TyfgakSJun7iW3GsknGh8CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:36:04.072245Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.14420","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0a2a6bd1ed0958a8761582ebe01db3579b94dd247bd9ba6a8c098937cf748c24","sha256:c9cfa35522c73b338396987c157f9158f7e358250ae26e8d1c46d9293ef38425"],"state_sha256":"d273468fa464e962e920cf2e5cd755ea0a02e96cee7a9517e4a009798f6a62d7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xI6qauSX3VL3/yu35Rxn67zyvx3Z4cp2voVHHUiWSxau5f/SgtTAyc4vLTPCDyYjmS0b37arwwC5YRQXGemmAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T13:17:58.693281Z","bundle_sha256":"f216546535e0ea856899b31a500e948eec97b9f5e7781d40b62ab6812a92f9a6"}}