Zobrazeno 1 - 10
of 288
pro vyhledávání: '"NAGY, P. T."'
Autor:
Gerbner, Dániel, Imolay, András, Katona, Gyula O. H., Nagy, Dániel T., Nagy, Kartal, Patkós, Balázs, Stadler, Domonkos, Zólomy, Kristóf
We study the number of queries needed to identify a monotone Boolean function $f:\{0,1\}^n \rightarrow \{0,1\}$. A query consists of a 0-1-sequence, and the answer is the value of $f$ on that sequence. It is well-known that the number of queries need
Externí odkaz:
http://arxiv.org/abs/2411.19833
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
Publikováno v:
2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 2024, pp. 750-756
This paper investigates photonic continuous-variable Born machines (CVBMs), which utilize photonic quantum states as resources for continuous probability distributions. Implementing exact gradient descent in the CVBM training process is often infeasi
Externí odkaz:
http://arxiv.org/abs/2410.11785
Autor:
Nagy, Dániel T.
Let $M_k$ be a $2n$-vertex graph with $n$ pairwise disjoint edges and let $\mathcal{H}^{(p,s)}(n)$ be the family of subsets of $V(M_n)$ that span exactly $p$ edges and $s$ isolated vertices. We prove that for $n\ge 2p+s$ this family has the Erd\H{o}s
Externí odkaz:
http://arxiv.org/abs/2407.17455
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:
Kolarovszki, Zoltán, Rybotycki, Tomasz, Rakyta, Péter, Kaposi, Ágoston, Poór, Boldizsár, Jóczik, Szabolcs, Nagy, Dániel T. R., Varga, Henrik, El-Safty, Kareem H., Morse, Gregory, Oszmaniec, Michał, Kozsik, Tamás, Zimborás, Zoltán
We introduce the Piquasso quantum programming framework, a full-stack open-source software platform for the simulation and programming of photonic quantum computers. Piquasso can be programmed via a high-level Python programming interface enabling us
Externí odkaz:
http://arxiv.org/abs/2403.04006
Autor:
Gerbner, Dániel, Keszegh, Balázs, Nagy, Dániel T., Nagy, Kartal, Pálvölgyi, Dömötör, Patkós, Balázs, Wiener, Gábor
We study the query complexity on slices of Boolean functions. Among other results we show that there exists a Boolean function for which we need to query all but 7 input bits to compute its value, even if we know beforehand that the number of 0's and
Externí odkaz:
http://arxiv.org/abs/2309.13678
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
Autor:
Gerbner, Dániel, Keszegh, Balázs, Lenger, Dániel, Nagy, Dániel T., Pálvölgyi, Dömötör, Patkós, Balázs, Vizer, Máté, Wiener, Gábor
We study $\mathrm{exa}_k(n,F)$, the largest number of edges in an $n$-vertex graph $G$ that contains exactly $k$ copies of a given subgraph $F$. The case $k=0$ is the Tur\'an number $\mathrm{ex}(n,F)$ that is among the most studied parameters in extr
Externí odkaz:
http://arxiv.org/abs/2210.04712