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pro vyhledávání: '"BONE, A."'
Autor:
Sturm, E., Davies, R., Alves, J., Clénet, Y., Kotilainen, J., Monna, A., Nicklas, H., Pott, J. -U., Tolstoy, E., Vulcani, B., Achren, J., Annadevara, S., Anwand-Heerwart, H., Arcidiacono, C., Barboza, S., Barl, L., Baudoz, P., Bender, R., Bezawada, N., Biondi, F., Bizenberger, P., Blin, A., Boné, A., Bonifacio, P., Borgo, B., Born, J. van den, Buey, T., Cao, Y., Chapron, F., Chauvin, G., Chemla, F., Cloiseau, K., Cohen, M., Collin, C., Czoske, O., Dette, J. -O., Deysenroth, M., Dijkstra, E., Dreizler, S., Dupuis, O., van Egmond, G., Eisenhauer, F., Elswijk, E., Emslander, A., Fabricius, M., Fasola, G., Ferreira, F., Schreiber, N. M. Förster, Fontana, A., Gaudemard, J., Gautherot, N., Gendron, E., Gennet, C., Genzel, R., Ghouchou, L., Gillessen, S., Gratadour, D., Grazian, A., Grupp, F., Guieu, S., Gullieuszik, M., de Haan, M., Hartke, J., Hartl, M., Haussmann, F., Helin, T., Hess, H. -J., Hofferbert, R., Huber, H., Huby, E., Huet, J. -M., Ives, D., Janssen, A., Jaufmann, P., Jilg, T., Jodlbauer, D., Jost, J., Kausch, W., Kellermann, H., Kerber, F., Kravcar, H., Kravchenko, K., Kulcsár, C., Kunkarayakti, H., Kunst, P., Kwast, S., Lang, F., Lange, J., Lapeyrere, V., Ruyet, B. Le, Leschinski, K., Locatelli, H., Massari, D., Mattila, S., Mei, S., Merlin, F., Meyer, E., Michel, C., Mohr, L., Montargès, M., Müller, F., Münch, N., Navarro, R., Neumann, U., Neumayer, N., Neumeier, L., Pedichini, F., Pflüger, A., Piazzesi, R., Pinard, L., Porras, J., Portaluri, E., Przybilla, N., Rabien, S., Raffard, J., Raggazoni, R., Ramlau, R., Ramos, J., Ramsay, S., Raynaud, H. -F., Rhode, P., Richter, A., Rix, H. -W., Rodenhuis, M., Rohloff, R. -R., Romp, R., Rousselot, P., Sabha, N., Sassolas, B., Schlichter, J., Schuil, M., Schweitzer, M., Seemann, U., Sevin, A., Simioni, M., Spallek, L., Sönmez, A., Suuronen, J., Taburet, S., Thomas, J., Tisserand, E., Vaccari, P., Valenti, E., Kleijn, G. Verdoes, Verdugo, M., Vidal, F., Wagner, R., Wegner, M., van Winden, D., Witschel, J., Zanella, A., Zeilinger, W., Ziegleder, J., Ziegler, B.
MICADO is a first light instrument for the Extremely Large Telescope (ELT), set to start operating later this decade. It will provide diffraction limited imaging, astrometry, high contrast imaging, and long slit spectroscopy at near-infrared waveleng
Externí odkaz:
http://arxiv.org/abs/2408.16396
Autor:
Singh, Siddhant, Gu, Fenglei, de Bone, Sébastian, Villaseñor, Eduardo, Elkouss, David, Borregaard, Johannes
Connecting multiple smaller qubit modules by generating high-fidelity entangled states is a promising path for scaling quantum computing hardware. The performance of such a modular quantum computer is highly dependent on the quality and rate of entan
Externí odkaz:
http://arxiv.org/abs/2408.02837
Autor:
Scott, Maura L. (AUTHOR) mlscott@fsu.edu, Bone, Sterling A. (AUTHOR), Christensen, Glenn L. (AUTHOR), Lederer, Anneliese (AUTHOR), Mende, Martin (AUTHOR), Christensen, Brandon G. (AUTHOR), Cozac, Marina (AUTHOR)
Publikováno v:
Journal of Marketing Research (JMR). Aug2024, Vol. 61 Issue 4, p598-618. 21p.
In this work, we introduce a method to construct fault-tolerant measurement-based quantum computation (MBQC) architectures and numerically estimate their performance over various types of networks. A possible application of such a paradigm is distrib
Externí odkaz:
http://arxiv.org/abs/2402.19323
Autor:
Bone, Viv, van der Heide, Chris, Mackle, Kieran, Jahn, Ingo H. J., Dower, Peter M., Manzie, Chris
Multifidelity models integrate data from multiple sources to produce a single approximator for the underlying process. Dense low-fidelity samples are used to reduce interpolation error, while sparse high-fidelity samples are used to compensate for bi
Externí odkaz:
http://arxiv.org/abs/2402.16059
Publikováno v:
AVS Quantum Sci. 6, 033801 (2024)
In the search for scalable, fault-tolerant quantum computing, distributed quantum computers are promising candidates. These systems can be realized in large-scale quantum networks or condensed onto a single chip with closely situated nodes. We presen
Externí odkaz:
http://arxiv.org/abs/2401.10770
Autor:
Vétil, Rebeca, Abi-Nader, Clément, Bône, Alexandre, Vullierme, Marie-Pierre, Rohé, Marc-Michel, Gori, Pietro, Bloch, Isabelle
We address the problem of learning Deep Learning Radiomics (DLR) that are not redundant with Hand-Crafted Radiomics (HCR). To do so, we extract DLR features using a VAE while enforcing their independence with HCR features by minimizing their mutual i
Externí odkaz:
http://arxiv.org/abs/2308.11389
Autor:
Joanne Wang, Chelsea Elwood, Vanessa Paquette, Natasha Kwan, Stephanie Erdle, Melissa Watt, Julie Van Schalkwyk, Jeffrey N. Bone, Ashley Roberts, Raymond Mak, Tiffany Wong
Publikováno v:
Allergy, Asthma & Clinical Immunology, Vol 20, Iss 1, Pp 1-7 (2024)
Abstract Background Penicillin allergy adversely impacts patient care, yet most cases do not have true allergies. Clinicians require efficient, reliable clinical tools to identify low risk patients who can be safely de-labeled. Our center implemented
Externí odkaz:
https://doaj.org/article/295a22a892b540c2908ba959fdd534db
Autor:
Janneke Berecki-Gisolf, Win Wah, Malcolm R Sim, Deborah C Glass, Ryan F Hoy, Tim Driscoll, Alex Collie, Karen Walker-Bone
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract There has been limited research on the health impacts of extreme bushfire exposure among emergency responders (ER) involved in suppressing extreme bushfires. This study aimed to evaluate the associations between extreme bushfires and ER’s
Externí odkaz:
https://doaj.org/article/e243c67c5a6b446ea3f0dec61b00aea7
Autor:
Nicholas S. Caron, Lauren M. Byrne, Fanny L. Lemarié, Jeffrey N. Bone, Amirah E.-E. Aly, Seunghyun Ko, Christine Anderson, Lorenzo L. Casal, Austin M. Hill, David J. Hawellek, Peter McColgan, Edward J. Wild, Blair R. Leavitt, Michael R. Hayden
Publikováno v:
Translational Neurodegeneration, Vol 13, Iss 1, Pp 1-22 (2024)
Abstract Background Therapeutic approaches aimed at lowering toxic mutant huntingtin (mHTT) levels in the brain can reverse disease phenotypes in animal models of Huntington's disease (HD) and are currently being evaluated in clinical trials. Sensiti
Externí odkaz:
https://doaj.org/article/89b2e043ae1a4ef094cfbb9512ed2741