Zobrazeno 1 - 10
of 2 318
pro vyhledávání: '"P Kölle"'
Autor:
Roshani, Navid, Stein, Jonas, Zorn, Maximilian, Kölle, Michael, Altmann, Philipp, Linnhoff-Popien, Claudia
A central challenge in quantum machine learning is the design and training of parameterized quantum circuits (PQCs). Much like in deep learning, vanishing gradients pose significant obstacles to the trainability of PQCs, arising from various sources.
Externí odkaz:
http://arxiv.org/abs/2408.04751
Using a focused He$^+$ beam for nanopatterning and writing of Josephson barriers we fabricated specially shaped Josephson junctions of in-line geometry in YBa$_2$Cu$_3$O$_7$ thin film microbridges with an asymmetry ratio of critical currents of oppos
Externí odkaz:
http://arxiv.org/abs/2408.01521
Autor:
Kölle, Michael, Seidl, Daniel, Zorn, Maximilian, Altmann, Philipp, Stein, Jonas, Gabor, Thomas
Quantum Reinforcement Learning (QRL) offers potential advantages over classical Reinforcement Learning, such as compact state space representation and faster convergence in certain scenarios. However, practical benefits require further validation. QR
Externí odkaz:
http://arxiv.org/abs/2408.01187
Autor:
Kölle, Michael, Ahouzi, Afrae, Debus, Pascal, Çetiner, Elif, Müller, Robert, Schuman, Daniëlle, Linnhoff-Popien, Claudia
Quantum one-class support vector machines leverage the advantage of quantum kernel methods for semi-supervised anomaly detection. However, their quadratic time complexity with respect to data size poses challenges when dealing with large datasets. In
Externí odkaz:
http://arxiv.org/abs/2407.20753
Autor:
Kölle, Michael, Schneider, Karola, Egger, Sabrina, Topp, Felix, Phan, Thomy, Altmann, Philipp, Nüßlein, Jonas, Linnhoff-Popien, Claudia
In recent years, Multi-Agent Reinforcement Learning (MARL) has found application in numerous areas of science and industry, such as autonomous driving, telecommunications, and global health. Nevertheless, MARL suffers from, for instance, an exponenti
Externí odkaz:
http://arxiv.org/abs/2407.20739
Autor:
Keppert, Sandra, Aichner, Bernd, Rohringer, Philip, Bodea, Marius-Aurel, Müller, Benedikt, Karrer, Max, Kleiner, Reinhold, Goldobin, Edward, Koelle, Dieter, Pedarnig, Johannes D., Lang, Wolfgang
Publikováno v:
International Journal of Molecular Sciences 25, 7877 (2024)
Thin films of the superconductor YBa$_2$Cu$_3$O$_{7-\delta}$ (YBCO) were modified by low-energy light-ion irradiation employing collimated or focused He$^+$ beams, and the long-term stability of irradiation-induced defects was investigated. For films
Externí odkaz:
http://arxiv.org/abs/2407.14189
Autor:
Rohe, Tobias, Grätz, Simon, Kölle, Michael, Zielinski, Sebastian, Stein, Jonas, Linnhoff-Popien, Claudia
With constant improvements of quantum hardware and quantum algorithms, quantum advantage comes within reach. Parallel to the development of the computer at the end of the twentieth century, quantum software development will now also rapidly gain in i
Externí odkaz:
http://arxiv.org/abs/2406.19876
Autor:
Wieland, Raphael, Kizilaslan, Olcay, Kinev, Nickolay, Dorsch, Eric, Guénon, Stefan, Song, Ziyu, Wei, Zihan, Wang, Huabing, Wu, Peiheng, Koelle, Dieter, Koshelets, Valery P., Kleiner, Reinhold
Suitably patterned single crystals made of the cuprate superconductor Bi$_2$Sr$_2$CaCu$_2$O$_{8+x}$ (BSCCO), intrinsically forming a stack of Josephson junctions, can generate electromagnetic radiation in the lower terahertz regime. Due to Joule heat
Externí odkaz:
http://arxiv.org/abs/2405.20742
Autor:
Kölle, Michael, Witter, Timo, Rohe, Tobias, Stenzel, Gerhard, Altmann, Philipp, Gabor, Thomas
Quantum Computing aims to streamline machine learning, making it more effective with fewer trainable parameters. This reduction of parameters can speed up the learning process and reduce the use of computational resources. However, in the current pha
Externí odkaz:
http://arxiv.org/abs/2405.12354
Autor:
Wu, Yu-Jung, Hack, Martin, Wurster, Katja, Koch, Simon, Kleiner, Reinhold, Koelle, Dieter, Mannhart, Jochen, Harbola, Varun
We present a way to We present a way to fabricate bicrystal Josephson junctions of high-Tc cuprate superconductors that does not require bulk bicrystalline substrates. Based on vector substrate technology, this novel approach makes use of a few tens-
Externí odkaz:
http://arxiv.org/abs/2404.13708