Výsledky vyhledávání - "A D Córcoles"

Akademický článek

Demonstrating multi-round subsystem quantum error correction using matching and maximum likelihood decoders

Autor: Neereja Sundaresan, Theodore J. Yoder, Youngseok Kim, Muyuan Li, Edward H. Chen, Grace Harper, Ted Thorbeck, Andrew W. Cross, Antonio D. Córcoles, Maika Takita

Publikováno v: Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)

Abstract Quantum error correction offers a promising path for performing high fidelity quantum computations. Although fully fault-tolerant executions of algorithms remain unrealized, recent improvements in control electronics and quantum hardware ena

Externí odkaz: https://doaj.org/article/456e91f348ec45fca041885a080b3f55

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Akademický článek

Risk factors contributing to the possibility of conducting intensive home treatment and to the risk of hospitalization of 1045 home treated patients with Schizophrenia

Autor: A. Sabaté, R. Talisa, D. Córcoles, J. León, A. Malagon, A. M. González, M. Bellsolà, P. Samos, F. Casanovas, M. A. Jerónimo, L. M. Martin, V. Pérez

Publikováno v: European Psychiatry, Vol 66, Pp S184-S184 (2023)

Introduction Home Treatment (HT) teams are among the better-studied options to reduce admission at the hospital, having been described as an alternative to hospitalization in patients with schizophrenia. There may be certain risk factors which has al

Externí odkaz: https://doaj.org/article/2669193193b94c5ca73507ad8ca19501

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Akademický článek

Positive and Negative Syndrome Scale (PANSS) predictors of hospitalization during home treatment on 1045 patients with schizophrenia in acute crisis

Autor: R. Talisa, A. Sabaté, D. Córcoles, J. Leon, A. Malagón, A. M. González, M. Bellsolà, P. Samos, M. Á. Jerónimo, L. M. Martín, V. Pérez

Publikováno v: European Psychiatry, Vol 66, Pp S640-S641 (2023)

Introduction Several factors related to the risk of requiring psychiatric hospitalization have been described in patients diagnosed with schizophrenia treated with methods other than home treatment. With regard to the symptoms, high global illness se

Externí odkaz: https://doaj.org/article/d0c1212f1e4d42f886f9039200cdbcd8

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Akademický článek

Active protection of a superconducting qubit with an interferometric Josephson isolator

Autor: Baleegh Abdo, Nicholas T. Bronn, Oblesh Jinka, Salvatore Olivadese, Antonio D. Córcoles, Vivekananda P. Adiga, Markus Brink, Russell E. Lake, Xian Wu, David P. Pappas, Jerry M. Chow

Publikováno v: Nature Communications, Vol 10, Iss 1, Pp 1-10 (2019)

Magnetic-based isolators are critical components for protecting qubits against noise in quantum setups but unsuitable for large processors. Here, Abdo et al. show good protection of a qubit in a high-fidelity quantum readout setup using a Josephson-b

Externí odkaz: https://doaj.org/article/d00376953959414688a9e8d5b6000e03

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Akademický článek

Demonstration of quantum advantage in machine learning

Autor: Diego Ristè, Marcus P. da Silva, Colm A. Ryan, Andrew W. Cross, Antonio D. Córcoles, John A. Smolin, Jay M. Gambetta, Jerry M. Chow, Blake R. Johnson

Publikováno v: npj Quantum Information, Vol 3, Iss 1, Pp 1-5 (2017)

Large advantage in small quantum computers Quantum computing promises to revolutionize all fields of science by solving problems that are too complex for conventional computers. However, the realization of a full-fledged, universal quantum computer i

Externí odkaz: https://doaj.org/article/b5566ab8f0a84a03ad96e12cf550175d

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Calibrated Decoders for Experimental Quantum Error Correction

Autor: Edward H. Chen, Theodore J. Yoder, Youngseok Kim, Neereja Sundaresan, Srikanth Srinivasan, Muyuan Li, Antonio D. Córcoles, Andrew W. Cross, Maika Takita

Publikováno v: Physical review letters. 128(11)

Arbitrarily long quantum computations require quantum memories that can be repeatedly measured without being corrupted. Here, we preserve the state of a quantum memory, notably with the additional use of flagged error events. All error events were ex

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d4e531619e5ae9af5e4aad93352e015
https://pubmed.ncbi.nlm.nih.gov/35362994

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Supervised learning with quantum-enhanced feature spaces

Autor: Vojtěch Havlíček, Antonio D. Córcoles, Kristan Temme, Aram W. Harrow, Abhinav Kandala, Jerry M. Chow, Jay M. Gambetta

Publikováno v: arXiv

Machine learning and quantum computing are two technologies each with the potential for altering how computation is performed to address previously untenable problems. Kernel methods for machine learning are ubiquitous for pattern recognition, with s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::948cd01f11f1ebcf34248e507f5c8eca
https://doi.org/10.1038/s41586-019-0980-2

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