Zobrazeno 1 - 10
of 43 579
pro vyhledávání: '"Landau A"'
In this work we consider a dark matter candidate described by an ultralight vector field, whose mass is in principle in the range $H_{\rm{eq}}\sim 10^{-28}\rm{eV}\ll m< \rm{eV}$. The homogeneous background vector field is assumed to point in a given
Externí odkaz:
http://arxiv.org/abs/2408.12052
People with visual impairments often struggle to create content that relies heavily on visual elements, particularly when conveying spatial and structural information. Existing accessible drawing tools, which construct images line by line, are suitab
Externí odkaz:
http://arxiv.org/abs/2408.10240
Autor:
Buhrman, Harry, Gharibian, Sevag, Landau, Zeph, Gall, François Le, Schuch, Norbert, Tamaki, Suguru
Estimating ground state energies of many-body Hamiltonians is a central task in many areas of quantum physics. In this work, we give quantum algorithms which, given any $k$-body Hamiltonian $H$, compute an estimate for the ground state energy and pre
Externí odkaz:
http://arxiv.org/abs/2407.03073
In this paper, we propose iterative interference cancellation schemes with access points selection (APs-Sel) for cell-free massive multiple-input multiple-output (CF-mMIMO) systems. Closed-form expressions for centralized and decentralized linear min
Externí odkaz:
http://arxiv.org/abs/2406.16675
In an October 2023 executive order (EO), President Biden issued a detailed but largely aspirational road map for the safe and responsible development and use of artificial intelligence (AI). The challenge for the January 24-25, 2024 workshop was to t
Externí odkaz:
http://arxiv.org/abs/2406.10430
Autor:
Landau, Ziv, Leonhardt, Ulf
An observer at rest with the expanding universe experiences some extra noise in the quantum vacuum, and so does an accelerated observer in a vacuum at rest (in Minkowski space). The literature mainly focuses on the ideal cases of exponential expansio
Externí odkaz:
http://arxiv.org/abs/2406.09339
Adaptive control provides techniques for adjusting control parameters in real time to maintain system performance despite unknown or changing process parameters. These methods use real data to tune controllers and adjust plant models or controller pa
Externí odkaz:
http://arxiv.org/abs/2406.07073
The past few years have produced a series of spectacular advances in the decoding of speech from brain activity. The engine of these advances has been the acquisition of labelled data, with increasingly large datasets acquired from single subjects. H
Externí odkaz:
http://arxiv.org/abs/2406.04328
In this paper, we propose low-complexity local detectors and log-likelihood ratio (LLR) refinement techniques for a coded cell-free massive multiple input multiple output (CF- mMIMO) systems, where an iterative detection and decoding (IDD) scheme is
Externí odkaz:
http://arxiv.org/abs/2405.13312
The paper explores the use of dynamic adaptation gain/step size (DAG) for improving the adaptation transient performance of variable step-size LMS (VS-LMS) adaptation algorithms. A generic form for the implementation of the DAG within the VS-LMS algo
Externí odkaz:
http://arxiv.org/abs/2404.12672