Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zsolt Tabi"'
Autor:
Zsolt Tabi, Bence Bako, Daniel T. R. Nagy, Peter Vaderna, Zsofia Kallus, Peter Haga, Zoltan Zimboras
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ec7e80b41d3ebf17b9b55cad1d95ede
Publikováno v:
Infocommunications journal. 13:11-17
Quantum Annealing provides a heuristic method leveraging quantum mechanics for solving Quadratic Unconstrained Binary Optimization problems. Existing Quantum Annealing processing units are readily available via cloud platform access for a wide range
Publikováno v:
IEEE Access, Vol 9, Pp 131658-131671 (2021)
Quantum annealing offers an appealing route to handle large-scale optimization problems. Existing Quantum Annealing processing units are readily available via cloud platform access for solving Quadratic Unconstrained Binary Optimization (QUBO) proble
Publikováno v:
QCE
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
Autor:
Kareem H. El-Safty, Zsolt Tabi, Zsófia Kallus, Tamás Kozsik, Péter Hága, Zoltán Zimborás, Adam Glos
Publikováno v:
QCE
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