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Visual SLAM algorithms allow localizing the camera by mapping its environment by a point cloud based on visual cues. To obtain the camera locations in a metric coordinate system, the metric scale of t...
Tensor network states have in recent years emerged as a powerful theoretical tool to study quantum collective phenomena. Some of the most popular tensor networks, such as the matrix product state (MPS...
Excited state electronic structure theory is one of the most active research fields in condensed matter physics and quantum chemistry, and plays a critical role in understanding electronic and optical...
Controllable quantum systems provide unique opportunities for solving problems in quantum chemistry and many-body physics that are intractable by classical computers. This approach is called “quantum ...
The state-of-the-art error correcting codes are based on large random constructions (random graphs, random permutations, . . . ) and are decoded by linear-time iterative algorithms. Because of these f...
An overview of some methods of statistical physics applied to the analysis of algorithms for optimization problems (satisfiability of Boolean constraints, vertex cover of graphs, decoding, ...) with d...
The computational complexity of internal diffusion-limited aggregation (DLA) is examined from both a theoretical and a practical point of view. We show that for two or more dimensions, the problem of ...
We show that high-temperature expansions provide a basis for the novel approach to efficient Monte Carlo simulations. “Wormalgorithms utilize the idea of updating closed-path configurations (produce...
Simulation studies are presented regarding the performance of algorithms that localize point-like radioactive sources detected by a position sensitive portable radiation instrument (COCAE). The source...
Abstract: Data assimilation refers to methodologies for the incorporation of noisy observations of a physical system into an underlying model in order to infer the properties of the state of the syste...
Two important enhanced sampling algorithms, simulated (ST) and parallel (PT) tempering,are commonly used when ergodic simulations may be hard to achieve, e.g, due to a phase space separated by large f...
We present extensive simulation studies on the performance of algorithms for the Compton sequence reconstruction used for the development of a portable spectroscopic instrument (COCAE), with the capab...
Any practical attempt to solve the Regge equations, these being a large system of non-linear algebraic equations, will almost certainly employ a Newton-Raphson like scheme. In such cases it is essenti...
In this paper the elementary moves of the BFACF-algorithm [1,2, 5] for lattice polygons are generalised to elementary moves of BFACF-style algorithms for lattice polygons in the body-centred (BCC) and...
We present extensive simulation studies on the performance of algorithms for the Compton sequence reconstruction used for the development of a portable spectroscopic instrument (COCAE), with the capa...

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