Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Eble, Holger"'
In recent years, variational quantum algorithms have garnered significant attention as a candidate approach for near-term quantum advantage using noisy intermediate-scale quantum (NISQ) devices. In this article we introduce kernel descent, a novel al
Externí odkaz:
http://arxiv.org/abs/2409.10257
In this article we introduce an algorithm for mitigating the adverse effects of noise on gradient descent in variational quantum algorithms. This is accomplished by computing a {\emph{regularized}} local classical approximation to the objective funct
Externí odkaz:
http://arxiv.org/abs/2403.03826
This article focuses on developing classical surrogates for parametrized quantum circuits using interpolation via (trigonometric) polynomials. We develop two algorithms for the construction of such surrogates and prove performance guarantees. The con
Externí odkaz:
http://arxiv.org/abs/2310.04396
Autor:
Eble, Holger
The dual graph $\Gamma(h)$ of a regular triangulation $\Sigma(h)$ carries a natural metric structure. The minimum spanning trees of $\Gamma(h)$ recently proved to be conclusive for detecting significant data signal in the context of population geneti
Externí odkaz:
http://arxiv.org/abs/2205.10424
We introduce a new algorithm computing the characteristic polynomials of hyperplane arrangements which exploits their underlying symmetry groups. Our algorithm counts the chambers of an arrangement as a byproduct of computing its characteristic polyn
Externí odkaz:
http://arxiv.org/abs/2105.14542
A longstanding goal of biology is to identify the key genes and species that critically impact evolution, ecology, and health. Network analysis has revealed keystone species that regulate ecosystems and master regulators that regulate cellular geneti
Externí odkaz:
http://arxiv.org/abs/2009.12277
Beerenwinkel et al.(2007) suggested studying fitness landscapes via regular subdivisions of convex polytopes. Building on their approach we propose cluster partitions and cluster filtrations of fitness landscapes as a new mathematical tool. In this w
Externí odkaz:
http://arxiv.org/abs/1809.02533
Publikováno v:
SIAM Journal on Scientific Computing; 2024, Vol. 46 Issue 5, pB600-B620, 21p
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