Search Results - "Vigneau, F"

Machine learning enables completely automatic tuning of a quantum device faster than human experts by Moon, H., Lennon, D. T., Kirkpatrick, J., van Esbroeck, N. M., Camenzind, L. C., Yu, Liuqi, Vigneau, F., Zumbühl, D. M., Briggs, G. A. D., Osborne, M. A., Sejdinovic, D., Laird, E. A., Ares, N.

“…Variability is a problem for the scalability of semiconductor quantum devices. The parameter space is large, and the operating range is small. Our statistical…”
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Ballistic One-Dimensional Holes with Strong g‑Factor Anisotropy in Germanium by Mizokuchi, R., Maurand, R., Vigneau, F., Myronov, M., De Franceschi, S.

“…We report experimental evidence of ballistic hole transport in one-dimensional quantum wires gate-defined in a strained SiGe/Ge/SiGe quantum well. At zero…”
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Quantum device fine-tuning using unsupervised embedding learning by van Esbroeck, N M, Lennon, D T, Moon, H, Nguyen, V, Vigneau, F, Camenzind, L C, Yu, L, Zumbühl, D M, Briggs, G A D, Sejdinovic, D, Ares, N

“…Quantum devices with a large number of gate electrodes allow for precise control of device parameters. This capability is hard to fully exploit due to the…”
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Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning by Severin, B., Lennon, D. T., Camenzind, L. C., Vigneau, F., Fedele, F., Jirovec, D., Ballabio, A., Chrastina, D., Isella, G., de Kruijf, M., Carballido, M. J., Svab, S., Kuhlmann, A. V., Geyer, S., Froning, F. N. M., Moon, H., Osborne, M. A., Sejdinovic, D., Katsaros, G., Zumbühl, D. M., Briggs, G. A. D., Ares, N.

“…The potential of Si and SiGe-based devices for the scaling of quantum circuits is tainted by device variability. Each device needs to be tuned to operation…”
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Deep reinforcement learning for efficient measurement of quantum devices by Nguyen, V., Orbell, S. B., Lennon, D. T., Moon, H., Vigneau, F., Camenzind, L. C., Yu, L., Zumbühl, D. M., Briggs, G. A. D., Osborne, M. A., Sejdinovic, D., Ares, N.

“…Deep reinforcement learning is an emerging machine-learning approach that can teach a computer to learn from their actions and rewards similar to the way…”
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Bridging the Reality Gap in Quantum Devices with Physics-Aware Machine Learning by Craig, D. L., Moon, H., Fedele, F., Lennon, D. T., van Straaten, B., Vigneau, F., Camenzind, L. C., Zumbühl, D. M., Briggs, G. A. D., Osborne, M. A., Sejdinovic, D., Ares, N.

“…The discrepancies between reality and simulation impede the optimization and scalability of solid-state quantum devices. Disorder induced by the unpredictable…”
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Breast cancer and other neoplasms in women with neurofibromatosis type 1: A retrospective review of cases in the Detroit metropolitan area by Wang, X., Levin, A.M., Smolinski, S.E., Vigneau, F.D., Levin, N.K., Tainsky, M.A.

“…Neurofibromatosis type 1 (NF1) is one of the most common cancer predisposing syndromes with an incidence of 1 in 3,500 worldwide. Certain neoplasms or…”
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Role of Radiation Therapy in Small Cell Lung Cancer (SCLC): Analysis of SEER-17 Data by Kong, F.P, Quarshie, W.O, Bi, N, Kapadia, N, Vigneau, F

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Occlusion intestinale sur gastroparésie by Vigneau, J.-F., Sebbane, M.

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Adaptation et validation d’une version brève en langue française du questionnaire d’impulsivité de Barratt (BIS-15) by Rousselle, P, Vigneau, F

“…Résumé Introduction Le questionnaire d’impulsivité de Barratt est l’un des questionnaires les plus utilisés pour évaluer l’impulsivité. Pendant les 50 années…”
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Detection of genetically modified organisms (GMOs) by PCR: a brief review of methodologies available by Gachet, E., Martin, G.G., Vigneau, F., Meyer, G.

“…The discovery of the molecules that bear the genetic information of any living organisms among which DNA (DeoxyriboNucleic Acid) plays a central role has been…”
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Worldwide comparison of ovarian cancer survival: Histological group and stage at diagnosis (CONCORD-2) by Matz, Melissa, Coleman, Michel P, Carreira, Helena, Salmerón, Diego, Chirlaque, Maria Dolores, Allemani, Claudia

“…Abstract Objective Ovarian cancer comprises several histological groups with widely differing levels of survival. We aimed to explore international variation…”
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The histology of ovarian cancer: worldwide distribution and implications for international survival comparisons (CONCORD-2) by Matz, Melissa, Coleman, Michel P, Sant, Milena, Chirlaque, Maria Dolores, Visser, Otto, Gore, Martin, Allemani, Claudia

“…Abstract Objective Ovarian cancers comprise several histologically distinct tumour groups with widely different prognosis. We aimed to describe the worldwide…”
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Le signe de Köplik by Vigneau, J. -F., Szwebel, T. A., Der Sahakian, G., Yordanov, Y., Pourriat, J. -L.

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Adaptation et validation d’une version brève en langue française du questionnaire d’impulsivité de Barratt (BIS-15) by Rousselle, P., Vigneau, F.

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Breast Cancer and Other Neoplasias in Women with Neurofibromatosis Type 1: A Retrospective Review of Cases in the Detroit Metropolitan Area by Wang, X., Levin, A. M., Smolinski, S. E., Vigneau, F. D., Levin, N. K., Tainsky, M. A.

“…Neurofibromatosis type 1 (NF1) is one of the most common cancer predisposing syndromes with an incidence of 1 in 3,500 worldwide. Certain neoplasias or…”
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Brain metastases (mets) in lung cancer patients (pts): Analysis of the Detroit Surveillance, Epidemiology and End Results (SEER) data by Gadgeel, S. M., Goveas, R., Vigneau, F., Quarshie, W., Islam, M., Schwartz, A., Wozniak, A. J., Cote, M.

“…Abstract only…”
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The quest for item types based on information processing: An analysis of Raven's Advanced Progressive Matrices, with a consideration of gender differences by Vigneau, François, Bors, Douglas A.

“…Various taxonomies of Raven's Advanced Progressive Matrices (APM) items have been proposed in the literature to account for performance on the test. In the…”
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Risk of lung cancer in Hodgkins (HL), non-Hodgkins (NHL) lymphoma and chronic lymphocytic leukemia (CLL) patients (pts): Analysis of the Surveillance Epidemiology and End Results (SEER) data by Arunselvan, S. K., Schwartz, A., Schiffer, C., Vigneau, F., Islam, M., Gadgeel, S. M.

“…Abstract only…”
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Risk of second lung cancer in patients with previously treated lung cancer: Analysis of the Surveillance, Epidemiology and End Results (SEER) registry by Sivakumaran, P., Gadgeel, S. M., Schwartz, A., Vigneau, F., Islam, K., Wozniak, A.

“…Abstract only…”
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