{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:ANLADOVXBRHIJYG4ENYQ76EJLA","short_pith_number":"pith:ANLADOVX","canonical_record":{"source":{"id":"1908.08054","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-08-21T18:00:03Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"72d0a44532fc7094f73604871826c21a1de86b8c096661b6b98186ce8dc63e7e","abstract_canon_sha256":"6b888ea59055b6dbb50b01651e82dd0cc14c83362fa1afa3c3c2db90701c2c1d"},"schema_version":"1.0"},"canonical_sha256":"035601bab70c4e84e0dc23710ff88958394d8f57a353ab6fc787e5e852dcdd3d","source":{"kind":"arxiv","id":"1908.08054","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.08054","created_at":"2026-07-04T23:59:09Z"},{"alias_kind":"arxiv_version","alias_value":"1908.08054v1","created_at":"2026-07-04T23:59:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.08054","created_at":"2026-07-04T23:59:09Z"},{"alias_kind":"pith_short_12","alias_value":"ANLADOVXBRHI","created_at":"2026-07-04T23:59:09Z"},{"alias_kind":"pith_short_16","alias_value":"ANLADOVXBRHIJYG4","created_at":"2026-07-04T23:59:09Z"},{"alias_kind":"pith_short_8","alias_value":"ANLADOVX","created_at":"2026-07-04T23:59:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:ANLADOVXBRHIJYG4ENYQ76EJLA","target":"record","payload":{"canonical_record":{"source":{"id":"1908.08054","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-08-21T18:00:03Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"72d0a44532fc7094f73604871826c21a1de86b8c096661b6b98186ce8dc63e7e","abstract_canon_sha256":"6b888ea59055b6dbb50b01651e82dd0cc14c83362fa1afa3c3c2db90701c2c1d"},"schema_version":"1.0"},"canonical_sha256":"035601bab70c4e84e0dc23710ff88958394d8f57a353ab6fc787e5e852dcdd3d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:59:09.413141Z","signature_b64":"x4pMwIYS4mCIXBBvVw/Q9k1cIXEIr4AiB0qq/er6/12AE8ZdunreWUyDPmzJP8acJ4EbVaUZpIVU4je60VJkBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"035601bab70c4e84e0dc23710ff88958394d8f57a353ab6fc787e5e852dcdd3d","last_reissued_at":"2026-07-04T23:59:09.412736Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:59:09.412736Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.08054","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":"2026-07-04T23:59:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w39rbAMMBfbeJktyJrMtWnyBV9AqM2jaHmCP839AWKK3EyoerA6O9WQYi+RpK8hbzqBp6LmwbW12/rVh0exKDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T17:38:51.260610Z"},"content_sha256":"5878c9f04fb408231d1d63c90ed37419f3ea3f0a7b8c3e8dabb377c513327f53","schema_version":"1.0","event_id":"sha256:5878c9f04fb408231d1d63c90ed37419f3ea3f0a7b8c3e8dabb377c513327f53"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:ANLADOVXBRHIJYG4ENYQ76EJLA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automated quantum programming via reinforcement learning for combinatorial optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"quant-ph","authors_text":"Chad Rigetti, Erik Davis, Keri A. McKiernan, M. Sohaib Alam","submitted_at":"2019-08-21T18:00:03Z","abstract_excerpt":"We develop a general method for incentive-based programming of hybrid quantum-classical computing systems using reinforcement learning, and apply this to solve combinatorial optimization problems on both simulated and real gate-based quantum computers. Relative to a set of randomly generated problem instances, agents trained through reinforcement learning techniques are capable of producing short quantum programs which generate high quality solutions on both types of quantum resources. We observe generalization to problems outside of the training set, as well as generalization from the simulat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.08054","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/1908.08054/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":"2026-07-04T23:59:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0yJCJmPyNgnnfuE8BZueLcMUVF+vemJYmNCrWfijqnK26Hm/FQ9jFseHUBQD2wXrtUse2dV8BDW67ifYfREVCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T17:38:51.260960Z"},"content_sha256":"21a65eba3af37c0ee6f40507621bf98ecc7bb8ce6a838350c6484d918f8331b7","schema_version":"1.0","event_id":"sha256:21a65eba3af37c0ee6f40507621bf98ecc7bb8ce6a838350c6484d918f8331b7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ANLADOVXBRHIJYG4ENYQ76EJLA/bundle.json","state_url":"https://pith.science/pith/ANLADOVXBRHIJYG4ENYQ76EJLA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ANLADOVXBRHIJYG4ENYQ76EJLA/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":"2026-08-20T17:38:51Z","links":{"resolver":"https://pith.science/pith/ANLADOVXBRHIJYG4ENYQ76EJLA","bundle":"https://pith.science/pith/ANLADOVXBRHIJYG4ENYQ76EJLA/bundle.json","state":"https://pith.science/pith/ANLADOVXBRHIJYG4ENYQ76EJLA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ANLADOVXBRHIJYG4ENYQ76EJLA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:ANLADOVXBRHIJYG4ENYQ76EJLA","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":"6b888ea59055b6dbb50b01651e82dd0cc14c83362fa1afa3c3c2db90701c2c1d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-08-21T18:00:03Z","title_canon_sha256":"72d0a44532fc7094f73604871826c21a1de86b8c096661b6b98186ce8dc63e7e"},"schema_version":"1.0","source":{"id":"1908.08054","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.08054","created_at":"2026-07-04T23:59:09Z"},{"alias_kind":"arxiv_version","alias_value":"1908.08054v1","created_at":"2026-07-04T23:59:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.08054","created_at":"2026-07-04T23:59:09Z"},{"alias_kind":"pith_short_12","alias_value":"ANLADOVXBRHI","created_at":"2026-07-04T23:59:09Z"},{"alias_kind":"pith_short_16","alias_value":"ANLADOVXBRHIJYG4","created_at":"2026-07-04T23:59:09Z"},{"alias_kind":"pith_short_8","alias_value":"ANLADOVX","created_at":"2026-07-04T23:59:09Z"}],"graph_snapshots":[{"event_id":"sha256:21a65eba3af37c0ee6f40507621bf98ecc7bb8ce6a838350c6484d918f8331b7","target":"graph","created_at":"2026-07-04T23:59:09Z","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/1908.08054/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We develop a general method for incentive-based programming of hybrid quantum-classical computing systems using reinforcement learning, and apply this to solve combinatorial optimization problems on both simulated and real gate-based quantum computers. Relative to a set of randomly generated problem instances, agents trained through reinforcement learning techniques are capable of producing short quantum programs which generate high quality solutions on both types of quantum resources. We observe generalization to problems outside of the training set, as well as generalization from the simulat","authors_text":"Chad Rigetti, Erik Davis, Keri A. McKiernan, M. Sohaib Alam","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-08-21T18:00:03Z","title":"Automated quantum programming via reinforcement learning for combinatorial optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.08054","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":"sha256:5878c9f04fb408231d1d63c90ed37419f3ea3f0a7b8c3e8dabb377c513327f53","target":"record","created_at":"2026-07-04T23:59:09Z","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":"6b888ea59055b6dbb50b01651e82dd0cc14c83362fa1afa3c3c2db90701c2c1d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2019-08-21T18:00:03Z","title_canon_sha256":"72d0a44532fc7094f73604871826c21a1de86b8c096661b6b98186ce8dc63e7e"},"schema_version":"1.0","source":{"id":"1908.08054","kind":"arxiv","version":1}},"canonical_sha256":"035601bab70c4e84e0dc23710ff88958394d8f57a353ab6fc787e5e852dcdd3d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"035601bab70c4e84e0dc23710ff88958394d8f57a353ab6fc787e5e852dcdd3d","first_computed_at":"2026-07-04T23:59:09.412736Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:59:09.412736Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x4pMwIYS4mCIXBBvVw/Q9k1cIXEIr4AiB0qq/er6/12AE8ZdunreWUyDPmzJP8acJ4EbVaUZpIVU4je60VJkBQ==","signature_status":"signed_v1","signed_at":"2026-07-04T23:59:09.413141Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.08054","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5878c9f04fb408231d1d63c90ed37419f3ea3f0a7b8c3e8dabb377c513327f53","sha256:21a65eba3af37c0ee6f40507621bf98ecc7bb8ce6a838350c6484d918f8331b7"],"state_sha256":"ea347b0924d86dd59a7e5b886a6779e30335cda1c065e11123a46e055be31f60"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"omYdZzxQNYHyryEAUEGcOqYwvf1N5QvlpjuAf3M1bDB8vJ72qC9bRMJ87yp9YZQfwVXGWLRWDl5YEb57fsOeAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T17:38:51.264797Z","bundle_sha256":"7869804cdd9cddde3b911111c9c3637c2034b8e8fb67d2e32c6c6e219641934e"}}