Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Haga, Peter"'
Autor:
Nagy, Dániel T. R., Czabán, Csaba, Bakó, Bence, Hága, Péter, Kallus, Zsófia, Zimborás, Zoltán
Recent progress in quantum machine learning has sparked interest in using quantum methods to tackle classical control problems via quantum reinforcement learning. However, the classical reinforcement learning environments often scale to high dimensio
Externí odkaz:
http://arxiv.org/abs/2410.18284
Autor:
Tabi, Zsolt I., Bakó, Bence, Nagy, Dániel T. R., Vaderna, Péter, Kallus, Zsófia, Hága, Péter, Zimborás, Zoltán
This paper presents a comprehensive study on the possible hybrid quantum-classical autoencoder architectures for end-to-end radio communication against noisy channel conditions using standard encoded radio signals. The hybrid scenarios include single
Externí odkaz:
http://arxiv.org/abs/2405.18105
Leveraging the intrinsic probabilistic nature of quantum systems, generative quantum machine learning (QML) offers the potential to outperform classical learning models. Current generative QML algorithms mostly rely on general-purpose models that, wh
Externí odkaz:
http://arxiv.org/abs/2405.14072
Autor:
Tabi, Zsolt, Bakó, Bence, Nagy, Dániel T. R., Vaderna, Péter, Kallus, Zsófia, Hága, Péter, Zimborás, Zoltán
Publikováno v:
2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 2022, pp. 468-473
Quantum neural networks are emerging as potential candidates to leverage noisy quantum processing units for applications. Here we introduce hybrid quantum-classical autoencoders for end-to-end radio communication. In the physical layer of classical w
Externí odkaz:
http://arxiv.org/abs/2301.02609
In recent years, near-term noisy intermediate scale quantum (NISQ) computing devices have become available. One of the most promising application areas to leverage such NISQ quantum computer prototypes is quantum machine learning. While quantum neura
Externí odkaz:
http://arxiv.org/abs/2108.12926
Autor:
Tabi, Zsolt, El-Safty, Kareem H., Kallus, Zsófia, Hága, Péter, Kozsik, Tamás, Glos, Adam, Zimborás, Zoltán
Current quantum computing devices have different strengths and weaknesses depending on their architectures. This means that flexible approaches to circuit design are necessary. We address this task by introducing a novel space-efficient quantum optim
Externí odkaz:
http://arxiv.org/abs/2009.07314
In Future Internet it is possible to change elements of congestion control in order to eliminate jitter and batch loss caused by the current control mechanisms based on packet loss events. We investigate the fundamental problem of adjusting sending r
Externí odkaz:
http://arxiv.org/abs/1707.07218
We present a simple stochastic agent-based community finding algorithm. Our algorithm is tested on network data from the Zachary karate club study, data from Victor Hugo's "Les Miserables", and data obtained from a musical piece by J.S. Bach. In all
Externí odkaz:
http://arxiv.org/abs/cond-mat/0408263
In this paper we study the resilience of peer-to-peer networks to preferential attacks. We define a network model and experiment with three di erent simple repairing algorithms, out of which the so called 2nd neighbor rewiring algorithm is found to b
Externí odkaz:
http://arxiv.org/abs/cond-mat/0408248
Autor:
Jorritsma, Wiard, Haga, Peter-Jan, Cnossen, Fokie, Dierckx, Rudi A., Oudkerk, Matthijs, van Ooijen, Peter M.A.
Publikováno v:
In Procedia Manufacturing 2015 3:3725-3731