Challenges and Opportunities in Quantum Optimization

Authors: Abbas, Amira, Ambainis, Andris, Augustino, Brandon, Bärtschi, Andreas, Buhrman, Harry, Coffrin, Carleton, Cortiana, Giorgio, Dunjko, Vedran, Egger, Daniel J., Elmegreen, Bruce G., Franco, Nicola, Fratini, Filippo, Fuller, Bryce, Gacon, Julien, Gonciulea, Constantin, Gribling, Sander, Gupta, Swati, Hadfield, Stuart, Heese, Raoul, Kircher, Gerhard, Kleinert, Thomas, Koch, Thorsten, Korpas, Georgios, Lenk, Steve, Marecek, Jakub, Markov, Vanio, Mazzola, Guglielmo, Mensa, Stefano, Mohseni, Naeimeh, Nannicini, Giacomo, O'Meara, Corey, Tapia, Elena Peña, Pokutta, Sebastian, Proissl, Manuel, Rebentrost, Patrick, Sahin, Emre, Symons, Benjamin C. B., Tornow, Sabine, Valls, Victor, Woerner, Stefan, Wolf-Bauwens, Mira L., Yard, Jon, Yarkoni, Sheir, Zechiel, Dirk, Zhuk, Sergiy, Zoufal, Christa

Source: Nat Rev Phys (2024)

Subject Terms: Quantum Physics, Mathematics - Optimization and Control

Access URL: http://arxiv.org/abs/2312.02279

Achieving Fairness with a Simple Ridge Penalty

Authors: Scutari, Marco, Panero, Francesca, Proissl, Manuel

Source: Statistics and Computing (2022), 32, 77

Subject Terms: Computer Science - Machine Learning, Statistics - Methodology

Access URL: http://arxiv.org/abs/2105.13817

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ATLAS QCD measurements for Higgs studies and New Physics searches.

Authors: Proissl, Manuel¹ manuel.proissl@cern.ch

Source: EPJ Web of Conferences. 2014, Vol. 80, p1-8. 8p.

Subject Terms: *STANDARD model (Nuclear physics), *HIGGS bosons, *DENSITY functional theory, *QUANTUM chromodynamics, *MONTE Carlo method, *PARTICLES