Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Vives-Gilabert, Yolanda"'
Autor:
Simen, Anton, Flores-Garrigos, Carlos, Hegade, Narendra N., Montalban, Iraitz, Vives-Gilabert, Yolanda, Michon, Eric, Zhang, Qi, Solano, Enrique, Martín-Guerrero, José D.
We propose digital-analog quantum kernels for enhancing the detection of complex features in the classification of images. We consider multipartite-entangled analog blocks, stemming from native Ising interactions in neutral-atom quantum processors, a
Externí odkaz:
http://arxiv.org/abs/2405.00548
Autor:
Belov, Vladimir, Erwin-Grabner, Tracy, Zeng, Ling-Li, Ching, Christopher R. K., Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Brosch, Katharina, Bülow, Robin, Colle, Romain, Connolly, Colm G., Corruble, Emmanuelle, Couvy-Duchesne, Baptiste, Cullen, Kathryn, Dannlowski, Udo, Davey, Christopher G., Dols, Annemiek, Ernsting, Jan, Evans, Jennifer W., Fisch, Lukas, Fuentes-Claramonte, Paola, Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke A., Grotegerd, Dominik, Hahn, Tim, Hamilton, J. Paul, Han, Laura K. M., Harrison, Ben J, Ho, Tiffany C., Jahanshad, Neda, Jamieson, Alec J., Karuk, Andriana, Kircher, Tilo, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Leenings, Ramona, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Meinert, Susanne, Melloni, Elisa, Mueller, Bryon A., Mwangi, Benson, Nenadić, Igor, Ojha, Amar, Okamoto, Yasumasa, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Radua, Joaquim, Rodríguez-Cano, Elena, Sacchet, Matthew D., Salvador, Raymond, Schrantee, Anouk, Sim, Kang, Soares, Jair C., Solanes, Aleix, Stein, Dan J., Stein, Frederike, Stolicyn, Aleks, Thomopoulos, Sophia I., Toenders, Yara J., Uyar-Demir, Aslihan, Vieta, Eduard, Vives-Gilabert, Yolanda, Völzke, Henry, Walter, Martin, Whalley, Heather C., Whittle, Sarah, Winter, Nils, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., Goya-Maldonado, Roberto
Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, likely due t
Externí odkaz:
http://arxiv.org/abs/2311.11046
Autor:
Hernani-Morales, Carlos, Alvarado, Gabriel, Albarrán-Arriagada, Francisco, Vives-Gilabert, Yolanda, Solano, Enrique, Martín-Guerrero, José D.
We propose machine learning (ML) methods to characterize the memristive properties of single and coupled quantum memristors. We show that maximizing the memristivity leads to large values in the degree of entanglement of two quantum memristors, unvei
Externí odkaz:
http://arxiv.org/abs/2309.05062
Autor:
Ferrer-Sánchez, Antonio, Flores-Garrigos, Carlos, Hernani-Morales, Carlos, Orquín-Marqués, José J., Hegade, Narendra N., Cadavid, Alejandro Gomez, Montalban, Iraitz, Solano, Enrique, Vives-Gilabert, Yolanda, Martín-Guerrero, José D.
We introduce a novel methodology that leverages the strength of Physics-Informed Neural Networks (PINNs) to address the counterdiabatic (CD) protocol in the optimization of quantum circuits comprised of systems with $N_{Q}$ qubits. The primary object
Externí odkaz:
http://arxiv.org/abs/2309.04434
Publikováno v:
Adv. Quantum Technol. 2023, 2300208
Active Learning (AL) is a family of machine learning (ML) algorithms that predates the current era of artificial intelligence. Unlike traditional approaches that require labeled samples for training, AL iteratively selects unlabeled samples to be ann
Externí odkaz:
http://arxiv.org/abs/2307.03899
Autor:
Negnevitsky, Vlad, Vives-Gilabert, Yolanda, Algarín, José M., Craven-Brightman, Lincoln, Pellicer-Guridi, Rubén, O'Reilly, Thomas, Stockmann, Jason P., Webb, Andrew, Alonso, Joseba, Menküc, Benjamin
Every magnetic resonance imaging (MRI) device requires an electronic control system that handles pulse sequences and signal detection and processing. Here we provide details on the architecture and performance of MaRCoS, a MAgnetic Resonance COntrol
Externí odkaz:
http://arxiv.org/abs/2208.01616
Akademický článek
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Autor:
Negnevitsky, Vlad, Vives-Gilabert, Yolanda, Algarín, José M., Craven-Brightman, Lincoln, Pellicer-Guridi, Rubén, O’Reilly, Thomas, Stockmann, Jason P., Webb, Andrew, Alonso, Joseba, Menküc, Benjamin
Publikováno v:
In Journal of Magnetic Resonance May 2023 350
Akademický článek
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Autor:
Draganov, Metodi, Arranz, Maria Jesús, Vives-Gilabert, Yolanda, Jubero, Míriam, de Diego-Adeliño, Javier, Àvila-Parcet, Aina, Puigdemont, Dolors, Portella, Maria J.
Publikováno v:
In Psychiatry Research: Neuroimaging 30 October 2021 316