Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Schroeder, Anna"'
Measurement-based quantum computing (MBQC) is a promising approach to reducing circuit depth in noisy intermediate-scale quantum algorithms such as the Variational Quantum Eigensolver (VQE). Unlike gate-based computing, MBQC employs local measurement
Externí odkaz:
http://arxiv.org/abs/2312.13241
Autor:
Kiser, Matthew, Schroeder, Anna, Anselmetti, Gian-Luca R., Kumar, Chandan, Moll, Nikolaj, Streif, Michael, Vodola, Davide
Quantum-enhanced auxiliary field quantum Monte Carlo (QC-AFQMC) uses output from a quantum computer to increase the accuracy of its classical counterpart. The algorithm requires the estimation of overlaps between walker states and a trial wavefunctio
Externí odkaz:
http://arxiv.org/abs/2312.09872
Autor:
Amsler, Maximilian, Deglmann, Peter, Degroote, Matthias, Kaicher, Michael P., Kiser, Matthew, Kühn, Michael, Kumar, Chandan, Maier, Andreas, Samsonidze, Georgy, Schroeder, Anna, Streif, Michael, Vodola, Davide, Wever, Christopher
In this work, we test a recently developed method to enhance classical auxiliary-field quantum Monte Carlo (AFQMC) calculations with quantum computers against examples from chemistry and material science, representatives of classes of industry-releva
Externí odkaz:
http://arxiv.org/abs/2301.11838
Autor:
Hartung, Jan, Schroeder, Anna, Péréz Vázquez, Rodrigo Alejandro, Poorthuis, Rogier B., Letzkus, Johannes J.
Publikováno v:
In Cell Reports 28 May 2024 43(5)
Autor:
Gillespie, Brendan, Houghton, Michael J., Ganio, Katherine, McDevitt, Christopher A., Bennett, Daniel, Dunn, Ariel, Raju, Sharvada, Schroeder, Anna, Hill, Rachel A., Cardoso, Barbara R.
Publikováno v:
In Brain Behavior and Immunity February 2024 116:349-361
Akademický článek
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Autor:
Raju, Sharvada, Notaras, Michael, Grech, Adrienne M., Schroeder, Anna, van den Buuse, Maarten, Hill, Rachel A.
Publikováno v:
In Hormones and Behavior August 2022 144
Autor:
Petrovici, Mihai A., Schmitt, Sebastian, Klähn, Johann, Stöckel, David, Schroeder, Anna, Bellec, Guillaume, Bill, Johannes, Breitwieser, Oliver, Bytschok, Ilja, Grübl, Andreas, Güttler, Maurice, Hartel, Andreas, Hartmann, Stephan, Husmann, Dan, Husmann, Kai, Jeltsch, Sebastian, Karasenko, Vitali, Kleider, Mitja, Koke, Christoph, Kononov, Alexander, Mauch, Christian, Müller, Eric, Müller, Paul, Partzsch, Johannes, Pfeil, Thomas, Schiefer, Stefan, Scholze, Stefan, Subramoney, Anand, Thanasoulis, Vasilis, Vogginger, Bernhard, Legenstein, Robert, Maass, Wolfgang, Schüffny, René, Mayr, Christian, Schemmel, Johannes, Meier, Karlheinz
Publikováno v:
Circuits and Systems (ISCAS), 2017 IEEE International Symposium on
Despite being originally inspired by the central nervous system, artificial neural networks have diverged from their biological archetypes as they have been remodeled to fit particular tasks. In this paper, we review several possibilites to reverse m
Externí odkaz:
http://arxiv.org/abs/1703.06043
Autor:
Petrovici, Mihai A., Schroeder, Anna, Breitwieser, Oliver, Grübl, Andreas, Schemmel, Johannes, Meier, Karlheinz
Publikováno v:
International Joint Conference on Neural Networks (IJCNN), 2017
How spiking networks are able to perform probabilistic inference is an intriguing question, not only for understanding information processing in the brain, but also for transferring these computational principles to neuromorphic silicon circuits. A n
Externí odkaz:
http://arxiv.org/abs/1703.04145
Akademický článek
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