Zobrazeno 1 - 10
of 2 010
pro vyhledávání: '"Katsaros, P."'
Autor:
Katsaros, Konstantinos, Mavromatis, Ioannis, Antonakoglou, Kostantinos, Ghosh, Saptarshi, Kaleshi, Dritan, Mahmoodi, Toktam, Asgari, Hamid, Karousos, Anastasios, Tavakkolnia, Iman, Safi, Hossein, Hass, Harald, Vrontos, Constantinos, Emami, Amin, Ullauri, Juan Parra, Moazzeni, Shadi, Simeonidou, Dimitra
The development of the sixth generation of communication networks (6G) has been gaining momentum over the past years, with a target of being introduced by 2030. Several initiatives worldwide are developing innovative solutions and setting the directi
Externí odkaz:
http://arxiv.org/abs/2411.06870
Autor:
Botifoll, Marc, Pinto-Huguet, Ivan, Rotunno, Enzo, Galvani, Thomas, Coll, Catalina, Kavkani, Payam Habibzadeh, Spadaro, Maria Chiara, Niquet, Yann-Michel, Eriksen, Martin Børstad, Martí-Sánchez, Sara, Katsaros, Georgios, Scappucci, Giordano, Krogstrup, Peter, Isella, Giovanni, Cabot, Andreu, Merino, Gonzalo, Ordejón, Pablo, Roche, Stephan, Grillo, Vincenzo, Arbiol, Jordi
This article introduces a groundbreaking analytical workflow designed for the holistic characterisation, modelling and physical simulation of device heterostructures. Our innovative workflow autonomously, comprehensively and locally characterises the
Externí odkaz:
http://arxiv.org/abs/2411.01024
Future autonomous transportation systems necessitate network infrastructure capable of accommodating massive vehicular connectivity, despite the scarce availability of frequency resources. Current approaches for achieving such required high spectral
Externí odkaz:
http://arxiv.org/abs/2409.14355
Multi-user multiple-input, multiple-output (MU-MIMO) designs can substantially increase wireless systems' achievable throughput and connectivity capabilities. However, existing MU-MIMO deployments typically utilize linear processing techniques that,
Externí odkaz:
http://arxiv.org/abs/2409.12930
Publikováno v:
IEEE SPAWC 2024
Upcoming physical layer (PHY) processing solutions, leveraging multiple-input multiple-output (MIMO) advances, are expected to support broad transmission bandwidths and the concurrent transmission of multiple information streams. However, the inheren
Externí odkaz:
http://arxiv.org/abs/2408.13128
Autor:
Saez-Mollejo, Jaime, Jirovec, Daniel, Schell, Yona, Kukucka, Josip, Calcaterra, Stefano, Chrastina, Daniel, Isella, Giovanni, Rimbach-Russ, Maximilian, Bosco, Stefano, Katsaros, Georgios
Hole spin qubits are rapidly emerging as the workhorse of semiconducting quantum processors because of their large spin-orbit interaction, enabling fast all-electric operations at low power. However, spin-orbit interaction also causes non-uniformitie
Externí odkaz:
http://arxiv.org/abs/2408.03224
The scope of the Sixth-Generation Self-Organized Networks (6G-SON) advances its predecessor's capability towards agility, flexibility, and adaptability. On-demand overlay networking technologies have shown a prominent maturity while coping with the r
Externí odkaz:
http://arxiv.org/abs/2407.05901
Autor:
Valentini, Marco, Souto, Rubén Seoane, Borovkov, Maksim, Krogstrup, Peter, Meir, Yigal, Leijnse, Martin, Danon, Jeroen, Katsaros, Georgios
Superconductor-semiconductor hybrid systems play a crucial role in realizing nanoscale quantum devices, including hybrid qubits, Majorana bound states, and Kitaev chains. For such hybrid devices, subgap states play a prominent role in their operation
Externí odkaz:
http://arxiv.org/abs/2407.05195
Autor:
Janík, Marián, Roux, Kevin, Espinosa, Carla Borja, Sagi, Oliver, Baghdadi, Abdulhamid, Adletzberger, Thomas, Calcaterra, Stefano, Botifoll, Marc, Manjón, Alba Garzón, Arbiol, Jordi, Chrastina, Daniel, Isella, Giovanni, Pop, Ioan M., Katsaros, Georgios
High kinetic inductance superconductors are gaining increasing interest for the realisation of qubits, amplifiers and detectors. Moreover, thanks to their high impedance, quantum buses made of such materials enable large zero-point fluctuations of th
Externí odkaz:
http://arxiv.org/abs/2407.03079
Machine learning (ML) has seen tremendous advancements, but its environmental footprint remains a concern. Acknowledging the growing environmental impact of ML this paper investigates Green ML, examining various model architectures and hyperparameter
Externí odkaz:
http://arxiv.org/abs/2406.14328