{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:5JT253XXDKAN2HXV3EJ4I2TNSD","short_pith_number":"pith:5JT253XX","canonical_record":{"source":{"id":"1908.05981","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-08-16T14:13:53Z","cross_cats_sorted":[],"title_canon_sha256":"c79e8c04a64a8184863c7e8662c9ccc6af567dd8095cc9cb524352a1297cea32","abstract_canon_sha256":"c78561c74bc4dbb8f1db1e2bc1e51a5627b3205cc5213fbbfb7d4fe9ad523d54"},"schema_version":"1.0"},"canonical_sha256":"ea67aeeef71a80dd1ef5d913c46a6d90d5709a75c2bf8521616caf1b87047e2f","source":{"kind":"arxiv","id":"1908.05981","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.05981","created_at":"2026-07-05T01:06:49Z"},{"alias_kind":"arxiv_version","alias_value":"1908.05981v1","created_at":"2026-07-05T01:06:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.05981","created_at":"2026-07-05T01:06:49Z"},{"alias_kind":"pith_short_12","alias_value":"5JT253XXDKAN","created_at":"2026-07-05T01:06:49Z"},{"alias_kind":"pith_short_16","alias_value":"5JT253XXDKAN2HXV","created_at":"2026-07-05T01:06:49Z"},{"alias_kind":"pith_short_8","alias_value":"5JT253XX","created_at":"2026-07-05T01:06:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:5JT253XXDKAN2HXV3EJ4I2TNSD","target":"record","payload":{"canonical_record":{"source":{"id":"1908.05981","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-08-16T14:13:53Z","cross_cats_sorted":[],"title_canon_sha256":"c79e8c04a64a8184863c7e8662c9ccc6af567dd8095cc9cb524352a1297cea32","abstract_canon_sha256":"c78561c74bc4dbb8f1db1e2bc1e51a5627b3205cc5213fbbfb7d4fe9ad523d54"},"schema_version":"1.0"},"canonical_sha256":"ea67aeeef71a80dd1ef5d913c46a6d90d5709a75c2bf8521616caf1b87047e2f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:06:49.083761Z","signature_b64":"E+QhpYcD9FXMa09dJdkCnMgawP3LwTWxpXBCAzELQraMTlGUy2BO4UHr43pbQ5ZpS/LQIhmeajEYPN7Hi+HkCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ea67aeeef71a80dd1ef5d913c46a6d90d5709a75c2bf8521616caf1b87047e2f","last_reissued_at":"2026-07-05T01:06:49.083185Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:06:49.083185Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.05981","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":"2026-07-05T01:06:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YqdjdYSOuAxYfTevEN+qHw8vjGvPBrkKsdYVXZ9OC9pK6ZUHtlefgwi3SzdofAAJxRrwknchdtqUuCdcjiFfAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T11:00:43.289451Z"},"content_sha256":"b3e2365a8b8825cba5d013d3a5e25fade25c5094c060f20d950d3d1fa9f12109","schema_version":"1.0","event_id":"sha256:b3e2365a8b8825cba5d013d3a5e25fade25c5094c060f20d950d3d1fa9f12109"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:5JT253XXDKAN2HXV3EJ4I2TNSD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Reinforcement Learning approach for Quantum State Engineering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Durga Bhaktavatsala Rao Dasari, Jelena Mackeprang, J\\\"org Wrachtrup","submitted_at":"2019-08-16T14:13:53Z","abstract_excerpt":"Machine learning (ML) has become an attractive tool in information processing, however few ML algorithms have been successfully applied in the quantum domain. We show here how classical reinforcement learning (RL) could be used as a tool for quantum state engineering (QSE). We employ a measurement based control for QSE where the action sequences are determined by the choice of the measurement basis and the reward through the fidelity of obtaining the target state. Our analysis clearly displays a learning feature in QSE, for example in preparing arbitrary two-qubit entangled states. It delivers"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.05981","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/1908.05981/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":"2026-07-05T01:06:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NIddxme/DPqtOdjbAp6NXqmMrm64YVevZRf3wxlk28nLduDe3BHBg75RSJ07BXnf6ZsW9rCrvIQyb4GkAUpeDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T11:00:43.289947Z"},"content_sha256":"54f6fe0891629d3be9d0da7d7681266fe63a75f347df18f3764b126024f82bd1","schema_version":"1.0","event_id":"sha256:54f6fe0891629d3be9d0da7d7681266fe63a75f347df18f3764b126024f82bd1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5JT253XXDKAN2HXV3EJ4I2TNSD/bundle.json","state_url":"https://pith.science/pith/5JT253XXDKAN2HXV3EJ4I2TNSD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5JT253XXDKAN2HXV3EJ4I2TNSD/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":"2026-08-22T11:00:43Z","links":{"resolver":"https://pith.science/pith/5JT253XXDKAN2HXV3EJ4I2TNSD","bundle":"https://pith.science/pith/5JT253XXDKAN2HXV3EJ4I2TNSD/bundle.json","state":"https://pith.science/pith/5JT253XXDKAN2HXV3EJ4I2TNSD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5JT253XXDKAN2HXV3EJ4I2TNSD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:5JT253XXDKAN2HXV3EJ4I2TNSD","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":"c78561c74bc4dbb8f1db1e2bc1e51a5627b3205cc5213fbbfb7d4fe9ad523d54","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-08-16T14:13:53Z","title_canon_sha256":"c79e8c04a64a8184863c7e8662c9ccc6af567dd8095cc9cb524352a1297cea32"},"schema_version":"1.0","source":{"id":"1908.05981","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.05981","created_at":"2026-07-05T01:06:49Z"},{"alias_kind":"arxiv_version","alias_value":"1908.05981v1","created_at":"2026-07-05T01:06:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.05981","created_at":"2026-07-05T01:06:49Z"},{"alias_kind":"pith_short_12","alias_value":"5JT253XXDKAN","created_at":"2026-07-05T01:06:49Z"},{"alias_kind":"pith_short_16","alias_value":"5JT253XXDKAN2HXV","created_at":"2026-07-05T01:06:49Z"},{"alias_kind":"pith_short_8","alias_value":"5JT253XX","created_at":"2026-07-05T01:06:49Z"}],"graph_snapshots":[{"event_id":"sha256:54f6fe0891629d3be9d0da7d7681266fe63a75f347df18f3764b126024f82bd1","target":"graph","created_at":"2026-07-05T01:06:49Z","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/1908.05981/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning (ML) has become an attractive tool in information processing, however few ML algorithms have been successfully applied in the quantum domain. We show here how classical reinforcement learning (RL) could be used as a tool for quantum state engineering (QSE). We employ a measurement based control for QSE where the action sequences are determined by the choice of the measurement basis and the reward through the fidelity of obtaining the target state. Our analysis clearly displays a learning feature in QSE, for example in preparing arbitrary two-qubit entangled states. It delivers","authors_text":"Durga Bhaktavatsala Rao Dasari, Jelena Mackeprang, J\\\"org Wrachtrup","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-08-16T14:13:53Z","title":"A Reinforcement Learning approach for Quantum State Engineering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.05981","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:b3e2365a8b8825cba5d013d3a5e25fade25c5094c060f20d950d3d1fa9f12109","target":"record","created_at":"2026-07-05T01:06:49Z","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":"c78561c74bc4dbb8f1db1e2bc1e51a5627b3205cc5213fbbfb7d4fe9ad523d54","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-08-16T14:13:53Z","title_canon_sha256":"c79e8c04a64a8184863c7e8662c9ccc6af567dd8095cc9cb524352a1297cea32"},"schema_version":"1.0","source":{"id":"1908.05981","kind":"arxiv","version":1}},"canonical_sha256":"ea67aeeef71a80dd1ef5d913c46a6d90d5709a75c2bf8521616caf1b87047e2f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea67aeeef71a80dd1ef5d913c46a6d90d5709a75c2bf8521616caf1b87047e2f","first_computed_at":"2026-07-05T01:06:49.083185Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:06:49.083185Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E+QhpYcD9FXMa09dJdkCnMgawP3LwTWxpXBCAzELQraMTlGUy2BO4UHr43pbQ5ZpS/LQIhmeajEYPN7Hi+HkCg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:06:49.083761Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.05981","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b3e2365a8b8825cba5d013d3a5e25fade25c5094c060f20d950d3d1fa9f12109","sha256:54f6fe0891629d3be9d0da7d7681266fe63a75f347df18f3764b126024f82bd1"],"state_sha256":"37e7f7bdba117e184d97178452b8cff5541760e6f8d3bbc08dae86ef2c2f935e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xGYWg2Zu8xRPcXgHMcgxaVG/FfvOQYICylTJmd3PvMhbpRFDNmB0omrIxiXNqAwwT581F00esjhBwzOc3rURAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T11:00:43.293503Z","bundle_sha256":"1f3921eedcc5bff4d14baf9840b51bce10453be20fb1fe529dd80de583a64b0b"}}