Quantum computing for neutrino-nucleus scattering von Roggero, Alessandro, Li, Andy C. Y., Carlson, Joseph, Gupta, Rajan, Perdue, Gabriel N.

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Machine learning of high dimensional data on a noisy quantum processor von Peters, Evan, Caldeira, João, Ho, Alan, Leichenauer, Stefan, Mohseni, Masoud, Neven, Hartmut, Spentzouris, Panagiotis, Strain, Doug, Perdue, Gabriel N.

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Real-time artificial intelligence for accelerator control: A study at the Fermilab Booster von St. John, Jason, Herwig, Christian, Kafkes, Diana, Mitrevski, Jovan, Pellico, William A., Perdue, Gabriel N., Quintero-Parra, Andres, Schupbach, Brian A., Seiya, Kiyomi, Tran, Nhan, Schram, Malachi, Duarte, Javier M., Huang, Yunzhi, Keller, Rachael

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Qubit Assignment Using Time Reversal von Peters, Evan, Shyamsundar, Prasanth, Li, Andy C.Y., Perdue, Gabriel

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MINER ν A status and event reconstruction von Perdue, Gabriel N

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Benchmarking variational quantum eigensolvers for the square-octagon-lattice Kitaev model von Li, Andy C. Y., Alam, M. Sohaib, Iadecola, Thomas, Jahin, Ammar, Job, Joshua, Kurkcuoglu, Doga Murat, Li, Richard, Orth, Peter P., Özgüler, A. Barış, Perdue, Gabriel N., Tubman, Norm M.

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Quantum machine learning in high energy physics von Guan, Wen, Perdue, Gabriel, Pesah, Arthur, Schuld, Maria, Terashi, Koji, Vallecorsa, Sofia, Vlimant, Jean-Roch

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Nuclear two point correlation functions on a quantum computer von Baroni, A., Carlson, J., Gupta, R., Li, Andy C. Y., Perdue, G. N., Roggero, A.

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Neutrino-nucleon cross-section model tuning in GENIE v3 von Tena-Vidal, Júlia, Andreopoulos, Costas, Ashkenazi, Adi, Barry, Christopher, Dennis, Steve, Dytman, Steve, Gallagher, Hugh, Gardiner, Steven, Giele, Walter, Hatcher, Robert, Hen, Or, Jiang, Libo, Kakorin, Igor D., Kuzmin, Konstantin S., Meregaglia, Anselmo, Naumov, Vadim A., Papadopoulou, Afroditi, Perdue, Gabriel, Roda, Marco, Syrotenko, Vladyslav, Wolcott, Jeremy

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Quantum circuit fidelity estimation using machine learning von Vadali, Avi, Kshirsagar, Rutuja, Shyamsundar, Prasanth, Perdue, Gabriel N.

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Machine Learning in High Energy Physics Community White Paper von Albertsson, Kim, Altoe, Piero, Anderson, Dustin, Andrews, Michael, Araque Espinosa, Juan Pedro, Aurisano, Adam, Basara, Laurent, Bevan, Adrian, Bonacorsi, Daniele, Campanelli, Mario, Capps, Louis, Carminati, Federico, Carrazza, Stefano, Childers, Taylor, Coniavitis, Elias, Cranmer, Kyle, David, Claire, Davis, Douglas, Duarte, Javier, Erdmann, Martin, Farbin, Amir, Feickert, Matthew, Castro, Nuno Filipe, Fitzpatrick, Conor, Forti, Alessandra, Garra-Tico, Jordi, Gemmler, Jochen, Girone, Maria, Glaysher, Paul, Gleyzer, Sergei, Gligorov, Vladimir, Golling, Tobias, Graw, Jonas, Gray, Lindsey, Hacker, Thomas, Hegner, Benedikt, Heinrich, Lukas, Hooberman, Ben, Kagan, Michael, Kane, Meghan, Kanishchev, Konstantin, Karpiński, Przemysław, Kassabov, Zahari, Kaul, Gaurav, Kcira, Dorian, Keck, Thomas, Klimentov, Alexei, Kurepin, Alexander, Kutschke, Rob, Kuznetsov, Valentin, Köhler, Nicolas, Lakomov, Igor, Lannon, Kevin, Lassnig, Mario, Limosani, Antonio, Louppe, Gilles, Mangu, Aashrita, Mato, Pere, Meinhard, Helge, Menasce, Dario, Moneta, Lorenzo, Narain, Meenakshi, Neubauer, Mark, Newman, Harvey, Pabst, Hans, Paganini, Michela, Paulini, Manfred, Perdue, Gabriel, Picazio, Attilio, Pivarski, Jim, Prosper, Harrison, Radovic, Alexander, Reece, Ryan, Rinkevicius, Aurelius, Rodrigues, Eduardo, Rorie, Jamal, Rousseau, David, Schramm, Steven, Schwartzman, Ariel, Severini, Horst, Seyfert, Paul, Siroky, Filip, Sokoloff, Mike, Stewart, Graeme, Stockdale, Ian, Strong, Giles, Thais, Savannah, Upfal, Eli, Usai, Emanuele, Ustyuzhanin, Andrey, Vallecorsa, Sofia, Vasel, Justin, Vilasís-Cardona, Xavier, Vlimant, Jean-Roch, Wang, Sean-Jiun, Watts, Gordon, Williams, Michael, Wu, Wenjing, Wunsch, Stefan, Zapata, Omar

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Neutrino-nucleus CC0π cross-section tuning in GENIE v3 von Tena-Vidal, Júlia, Andreopoulos, Costas, Ashkenazi, Adi, Barrow, Joshua, Dytman, Steven, Gallagher, Hugh, Soto, Alfonso Garcia, Gardiner, Steven, Goldenberg, Matan, Hatcher, Robert, Hen, Or, Hobbs, Timothy J., Kakorin, Igor D., Kuzmin, Konstantin S., Meregalia, Anselmo, Naumov, Vadim A., Papadopoulou, Afroditi, Perdue, Gabriel, Roda, Marco, Sportes, Alon, Steinberg, Noah, Syrotenko, Vladyslav, Wolcott, Jeremy

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Frontiers in computing for artificial intelligence von Humble, T.S., Perdue, G.N., Fahim, F., Lamm, H., Schram, M.

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First combined tuning on transverse kinematic imbalance data with and without pion production constraints von Li, Weijun, Roda, Marco, Tena-Vidal, Júlia, Andreopoulos, Costas, Lu, Xianguo, Ashkenazi, Adi, Barrow, Joshua, Dytman, Steven, Gallagher, Hugh, Soto, Alfonso Andres Garcia, Gardiner, Steven, Goldenberg, Matan, Hatcher, Robert, Hen, Or, Kakorin, Igor D., Kuzmin, Konstantin S., Meregalia, Anselmo, Naumov, Vadim A., Papadopoulou, Afroditi, Perdue, Gabriel, Plows, Komninos-John, Sportes, Alon, Steinberg, Noah, Syrotenko, Vladyslav, Wolcott, Jeremy, Yan, Qiyu

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Machine learning for arbitrary single-qubit rotations on an embedded device von Bhat, Madhav Narayan, Russo, Marco, Carloni, Luca P., Di Guglielmo, Giuseppe, Fahim, Farah, Li, Andy C. Y., Perdue, Gabriel N.

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Perturbative readout-error mitigation for near-term quantum computers von Peters, Evan, Li, Andy C. Y., Perdue, Gabriel N.

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DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection von Ćiprijanović, A, Lewis, A, Pedro, K, Madireddy, S, Nord, B, Perdue, G N, Wild, S M

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Neutrino-nucleus CC 0 π cross-section tuning in GENIE v3 von Tena-Vidal, Júlia, Andreopoulos, Costas, Ashkenazi, Adi, Barrow, Joshua, Dytman, Steven, Gallagher, Hugh, Soto, Alfonso Andres Garcia, Gardiner, Steven, Goldenberg, Matan, Hatcher, Robert, Hen, Or, Hobbs, Timothy J., Kakorin, Igor D., Kuzmin, Konstantin S., Meregalia, Anselmo, Naumov, Vadim A., Papadopoulou, Afroditi, Perdue, Gabriel, Roda, Marco, Sportes, Alon, Steinberg, Noah, Syrotenko, Vladyslav, Wolcott, Jeremy

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MINERvA status and event reconstruction von Perdue, Gabriel N

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DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification von Ćiprijanović, Aleksandra, Kafkes, Diana, Snyder, Gregory, Sánchez, F Javier, Perdue, Gabriel Nathan, Pedro, Kevin, Nord, Brian, Madireddy, Sandeep, Wild, Stefan M

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