Zobrazeno 1 - 10
of 2 197
pro vyhledávání: '"P A, van der Heide"'
Autor:
Jiang, Junke, van der Heide, Tammo, Thébaud, Simon, Lien-Medrano, Carlos Raúl, Fihey, Arnaud, Pedesseau, Laurent, Quarti, Claudio, Zacharias, Marios, Volonakis, George, Kepenekian, Mikael, Aradi, Bálint, Sentef, Michael A., Even, Jacky, Katan, Claudine
Density Functional Tight-Binding (DFTB), an approximative approach derived from Density Functional Theory (DFT), has the potential to pave the way for simulations of large periodic or non-periodic systems. We have specifically tailored DFTB parameter
Externí odkaz:
http://arxiv.org/abs/2412.07016
Autor:
Gentile, Marziogiuseppe, Gerlach, Marius, Richter, Robert, van Setten, Michiel J., Petersen, John S., van der Heide, Paul, Holzmeier, Fabian
Publikováno v:
Proc. SPIE 12498, Advances in Patterning Materials and Processes XL, 124980S (30 April 2023)
The dissociative photoionization of \textit{tert}-butyl methyl methacrylate, a monomer unit found in many ESCAP resists, was investigated in a gas phase photoelectron photoion coincidence experiment employing extreme ultraviolet (EUV) synchrotron rad
Externí odkaz:
http://arxiv.org/abs/2411.10177
The Cold Posterior Effect (CPE) is a phenomenon in Bayesian Deep Learning (BDL), where tempering the posterior to a cold temperature often improves the predictive performance of the posterior predictive distribution (PPD). Although the term `CPE' sug
Externí odkaz:
http://arxiv.org/abs/2410.05757
Autor:
Gümüş, Kadir, Frazão, João dos Reis, van Vliet, Vincent, van der Heide, Sjoerd, Hout, Menno van den, Liga, Gabriele, Gültekin, Yunus Can, Albores-Mejia, Aaron, Bradley, Thomas, Alvarado, Alex, Okonkwo, Chigo
Continuous-variable quantum key distribution (CV-QKD) has been proposed as a method for securely exchanging keys to protect against the security concerns caused by potential advancements in quantum computing. In addition to optical fiber transmission
Externí odkaz:
http://arxiv.org/abs/2408.12522
Autor:
Frazão, João dos Reis, van Vliet, Vincent, Gümüş, Kadir, Hout, Menno van den, van der Heide, Sjoerd, Albores-Mejia, Aaron, Škorić, Boris, Okonkwo, Chigo
Real-time CV-QKD receiver achieves peak 2.9 Mbit/s secret-key-rates over 12.8 km of fiber, while co-propagating 15 classical channels, separated 1 nm from the quantum signal. Performance degrades at higher launch powers due to crosstalk.
Externí odkaz:
http://arxiv.org/abs/2406.06540
Autor:
Liu, Hongyan, Versteeg, Edwin, Fuderer, Miha, van der Heide, Oscar, Schilder, Martin B., Berg, Cornelis A. T. van den, Sbrizzi, Alessandro
Purpose: Current 3D Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT) protocols use transient-state, gradient-spoiled gradient-echo sequences that are prone to cerebrospinal fluid (CSF) pulsation artifacts when applied to the brain. This st
Externí odkaz:
http://arxiv.org/abs/2403.15379
Autor:
Bone, Viv, van der Heide, Chris, Mackle, Kieran, Jahn, Ingo H. J., Dower, Peter M., Manzie, Chris
Multifidelity models integrate data from multiple sources to produce a single approximator for the underlying process. Dense low-fidelity samples are used to reduce interpolation error, while sparse high-fidelity samples are used to compensate for bi
Externí odkaz:
http://arxiv.org/abs/2402.16059
Autor:
Frazão, João dos Reis, van Vliet, Vincent, van der Heide, Sjoerd, Hout, Menno van den, Gümüş, Kadir, Albores-Mejía, Aaron, Škorić, Boris, Okonkwo, Chigo
We demonstrate classical and quantum signal co-propagation over a turbulent free-space channel with 3 Tbit/s throughput and record 2.7 Mbit/s secret-key rate. Our real-time GPU-based receiver assessed quantum signal integrity under different turbulen
Externí odkaz:
http://arxiv.org/abs/2401.10581
Autor:
Gümüş, Kadir, Frazão, João dos Reis, van Vliet, Vincent, van der Heide, Sjoerd, Hout, Menno van den, Albores-Mejia, Aaron, Bradley, Thomas, Okonkwo, Chigo
We experimentally demonstrate adaptive reconciliation for continuous-variable quantum key distribution over a turbulent free-space optical channel. Additionally, we propose a method for optimising the reconciliation efficiency, increasing secret key
Externí odkaz:
http://arxiv.org/abs/2312.13835
Deep learning is renowned for its theory-practice gap, whereby principled theory typically fails to provide much beneficial guidance for implementation in practice. This has been highlighted recently by the benign overfitting phenomenon: when neural
Externí odkaz:
http://arxiv.org/abs/2311.07013