{"paper":{"title":"Unsupervised Machine Learning on a Hybrid Quantum Computer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"A. Bestwick, A. Hudson, A. Papageorge, A. Staley, B. Bloom, Blake R. Johnson, C. B. Osborn, Colm A. Ryan, C. Rigetti, D. Scarabelli, E. A. Sete, E. C. Peterson, E. Schuyler Fried, G. Prawiroatmodjo, J. S. Otterbach, M. Block, M. P. da Silva, M. Reagor, M. Scheer, N. Alidoust, N. Didier, N. Rubin, N. Tezak, P. Karalekas, P. Sivarajah, R. Manenti, Robert S. Smith, S. Caldwell, S. Hong, W. J. Zeng","submitted_at":"2017-12-15T18:00:07Z","abstract_excerpt":"Machine learning techniques have led to broad adoption of a statistical model of computing. The statistical distributions natively available on quantum processors are a superset of those available classically. Harnessing this attribute has the potential to accelerate or otherwise improve machine learning relative to purely classical performance. A key challenge toward that goal is learning to hybridize classical computing resources and traditional learning techniques with the emerging capabilities of general purpose quantum processors. Here, we demonstrate such hybridization by training a 19-q"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.05771","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":""},"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"}