Zobrazeno 1 - 10
of 1 118
pro vyhledávání: '"A, Emmanouilidis"'
Autor:
Srinivasan, Akshaya, Geng, Alexander, Macaluso, Antonio, Kiefer-Emmanouilidis, Maximilian, Moghiseh, Ali
Exploring the potential of quantum hardware for enhancing classical and real-world applications is an ongoing challenge. This study evaluates the performance of quantum and quantum-inspired methods compared to classical models for crack segmentation.
Externí odkaz:
http://arxiv.org/abs/2410.10713
Autor:
Palaiodimopoulos, Nikolaos, Frkatovic, Jasmin, Rey, Vitor Fortes, Tschöpe, Matthias, Suh, Sungho, Lukowicz, Paul, Kiefer-Emmanouilidis, Maximilian
Disordered Quantum many-body Systems (DQS) and Quantum Neural Networks (QNN) have many structural features in common. However, a DQS is essentially an initialized QNN with random weights, often leading to non-random outcomes. In this work, we emphasi
Externí odkaz:
http://arxiv.org/abs/2409.16180
Autor:
Cortês, Marina, Liddle, Andrew R., Emmanouilidis, Christos, Kelly, Anthony E., Matusow, Ken, Ragunathan, Ragu, Suess, Jayne M., Tambouratzis, George, Zalewski, Janusz, Bray, David A.
Generative Artificial Intelligence (AI) models may carry societal transformation to an extent demanding a delicate balance between opportunity and risk. This manuscript is the first of a series of White Papers informing the development of IEEE-SA's p
Externí odkaz:
http://arxiv.org/abs/2410.01808
Autor:
Krupp, Lars, Bley, Jonas, Gobbi, Isacco, Geng, Alexander, Müller, Sabine, Suh, Sungho, Moghiseh, Ali, Medina, Arcesio Castaneda, Bartsch, Valeria, Widera, Artur, Ott, Herwig, Lukowicz, Paul, Karolus, Jakob, Kiefer-Emmanouilidis, Maximilian
Individual teaching is among the most successful ways to impart knowledge. Yet, this method is not always feasible due to large numbers of students per educator. Quantum computing serves as a prime example facing this issue, due to the hype surroundi
Externí odkaz:
http://arxiv.org/abs/2407.17024
Autor:
Bley, Jonas, Rexigel, Eva, Arias, Alda, Krupp, Lars, Steinert, Steffen, Longen, Nikolas, Lukowicz, Paul, Küchemann, Stefan, Kuhn, Jochen, Kiefer-Emmanouilidis, Maximilian, Widera, Artur
In the rapidly evolving interdisciplinary field of quantum information science and technology, a big obstacle is the necessity of understanding high-level mathematics to solve complex problems. Visualizations like the (dimensional) circle notation en
Externí odkaz:
http://arxiv.org/abs/2406.16556
Autor:
Fritsch, Stefan Gerd, Oguz, Cennet, Rey, Vitor Fortes, Ray, Lala, Kiefer-Emmanouilidis, Maximilian, Lukowicz, Paul
Human Activity Recognition (HAR) is a longstanding problem in AI with applications in a broad range of areas, including healthcare, sports and fitness, security, and more. The performance of HAR in real-world settings is strongly dependent on the typ
Externí odkaz:
http://arxiv.org/abs/2406.03857
The Stochastic Extragradient (SEG) method is one of the most popular algorithms for solving finite-sum min-max optimization and variational inequality problems (VIPs) appearing in various machine learning tasks. However, existing convergence analyses
Externí odkaz:
http://arxiv.org/abs/2403.07148
Autor:
Gerlach, Thore, Knipp, Stefan, Biesner, David, Emmanouilidis, Stelios, Hauber, Klaus, Piatkowski, Nico
Field-Programmable Gate Arrays (FPGAs) have asserted themselves as vital assets in contemporary computing by offering adaptable, reconfigurable hardware platforms. FPGA-based accelerators incubate opportunities for breakthroughs in areas, such as rea
Externí odkaz:
http://arxiv.org/abs/2312.15467
Autor:
Krupp, Lars, Steinert, Steffen, Kiefer-Emmanouilidis, Maximilian, Avila, Karina E., Lukowicz, Paul, Kuhn, Jochen, Küchemann, Stefan, Karolus, Jakob
The increased presence of large language models (LLMs) in educational settings has ignited debates concerning negative repercussions, including overreliance and inadequate task reflection. Our work advocates moderated usage of such models, designed i
Externí odkaz:
http://arxiv.org/abs/2312.14969
Stabilizing an ultracold Fermi gas against Fermi acceleration to superdiffusion through localization
Anderson localization, i.e., destructive quantum interference of multiple-scattering paths, halts transport entirely. Contrarily, time-dependent random forces expedite transport via Fermi acceleration, proposed as a mechanism for high-energy cosmic r
Externí odkaz:
http://arxiv.org/abs/2311.08224