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pro vyhledávání: '"Ahrens A"'
Autor:
Grote Olaf, Ahrens Andreas
Publikováno v:
Electrical, Control and Communication Engineering, Vol 18, Iss 1, Pp 43-49 (2022)
The Quantum Key Distribution (QKD) is a well-researched secure communication method for exchanging cryptographic keys only known by the shared participants. The vulnerable problem of a secret key distribution is the negotiation and the transfer over
Externí odkaz:
https://doaj.org/article/e5cbc07640db4a6e9607b2afe7823c33
This paper presents a computationally efficient model predictive control formulation that uses an integral Chebyshev collocation method to enable rapid operations of autonomous agents. By posing the finite-horizon optimal control problem and recursiv
Externí odkaz:
http://arxiv.org/abs/2410.07413
Autor:
Ahrens, F., Crescini, N., Irace, A., Rastelli, G., Falferi, P., Giachero, A., Margesin, B., Mezzena, R., Vinante, A., Carusotto, I., Mantegazzini, F.
Frequency-based synthetic dimensions are a promising avenue to extend the dimensionality of photonic systems. In this work, we show how a tilted synthetic lattice is naturally realised by periodically modulating a single-mode resonator under a cohere
Externí odkaz:
http://arxiv.org/abs/2409.00760
The tensor programming abstraction has become a foundational paradigm for modern computing. This framework allows users to write high performance programs for bulk computation via a high-level imperative interface. Recent work has extended this parad
Externí odkaz:
http://arxiv.org/abs/2408.14706
We introduce NOVIC, an innovative uNconstrained Open Vocabulary Image Classifier that uses an autoregressive transformer to generatively output classification labels as language. Leveraging the extensive knowledge of CLIP models, NOVIC harnesses the
Externí odkaz:
http://arxiv.org/abs/2407.11211
Autor:
Wang, Daoce, Grosset, Pascal, Pulido, Jesus, Athawale, Tushar M., Tian, Jiannan, Zhao, Kai, Lukić, Zarija, Huebl, Axel, Wang, Zhe, Ahrens, James, Tao, Dingwen
Multi-resolution methods such as Adaptive Mesh Refinement (AMR) can enhance storage efficiency for HPC applications generating vast volumes of data. However, their applicability is limited and cannot be universally deployed across all applications. F
Externí odkaz:
http://arxiv.org/abs/2407.04267
This paper introduces the continuous tensor abstraction, allowing indices to take real-number values (e.g., A[3.14]), and provides a continuous loop construct that iterates over the infinitely large set of real numbers. This paper expands the existin
Externí odkaz:
http://arxiv.org/abs/2407.01742
Autor:
Sánchez-Lavega, Agustín, García-Melendo, Enrique, Legarreta, Jon, Miró, Arnau, Soria, Manel, Ahrens-Velásquez, Kevin
Publikováno v:
Geophysical Research Letters, Volume 51, Issue 12, 28 June 2024, e2024GL108993
Jupiter's Grat Red Spot (GRS) is the largest and longest-lived vortex of all solar system planets but its lifetime is debated and its formation mechanism remains hidden. G. D. Cassini discovered in 1665 the presence of a dark oval at the GRS latitude
Externí odkaz:
http://arxiv.org/abs/2406.13222
Symmetric and sparse tensors arise naturally in many domains including linear algebra, statistics, physics, chemistry, and graph theory. Symmetric tensors are equal to their transposes, so in the $n$-dimensional case we can save up to a factor of $n!
Externí odkaz:
http://arxiv.org/abs/2406.09266
Learning-based techniques such as artificial intelligence (AI) and machine learning (ML) play an increasingly important role in the development of future communication networks. The success of a learning algorithm depends on the quality and quantity
Externí odkaz:
http://arxiv.org/abs/2403.08317