Les méthodes intégrales sont des méthodes particulièrement bien adaptées à la modélisation des systèmes électromagnétiques car contrairement aux méthodes par éléments finis elles ne nécessitent pas le maillage des matériaux inactifs tel que l'air. Ces modèles sont donc légers en terme du nombre de degrés de liberté. Cependant ceux sont des méthodes à interactions totales qui génèrent des matrices de systèmes d'équations pleines. Ces matrices sont longues à calculer en temps processeur et coûteuses à stocker dans la mémoire vive de l'ordinateur. Nous réduisons dans ces travaux les temps de calcul grâce au parallélisme, c'est-à-dire l'utilisation de plusieurs processeurs, notamment sur cartes graphiques (GPGPU). Nous réduisons également le coût du stockage mémoire via de la compression matricielle par ondelettes (il s'agit d'un algorithme proche de la compression d'images). C'est une compression par pertes, nous avons ainsi développé un critère pour contrôler l'erreur introduite par la compression. Les méthodes développées sont appliquées sur une formulation électrostatique de calcul de capacités, mais elles sont à priori également applicables à d'autres formulations. / Integral equation methods are widely used in electromagnetism modeling because, in opposition to finite element methods, they do not require the meshing of non-active materials like air. Therefore they lead to formulations with small degrees of freedom. However, they also lead to fully dense systems of equations. Computation times are expensive and the storage of the matrix is very expensive. This work presents different parallel computation strategies in order to speed up the computation time, in particular the use of graphical processing units (GPGPU) is focused. The next point is to reduce the memory requirements thanks to wavelets compression (it is an algorithm similar to image compression). The compression technique introduces errors, therefore a control criterion is proposed. The methodology is applied to an electrostatic formulation but it is general and it could also be used with others integral formulations.

<p>Among computational electromagnetic methods, Integral Equation (IE) solvers have a great capability in solving open-region problems such as scattering and radiation, due to no truncation boundary condition required. Volume Integral Equation (VIE) solvers are especially capable of handling arbitrarily shaped geometries and inhomogeneous materials. However, the numerical system resulting from a VIE analysis is a dense system, having $N^2$ nonzero elements for a problem of $ N $ unknowns. The dense numerical system in conjunction with the large number of unknowns resulting from a volume discretization prevents a practical use of the VIE for solving large-scale problems.</p> <p>In this work, two fast algorithms of $ O(N \log N) $ complexity to generate an rank-minimized $ H^2 $-representation for electrically large VIEs are developed. The algorithms systematically compress the off-diagonal admissible blocks of full VIE matrix into low-rank forms of total storage of $O(N)$. Both algorithms are based on nested cross approximation, which are purely algebraic. The first one is a two-stage algorithm. The second one is optimized to only use one-stage, and has a significant speedup. Numerical experiments on electrically large examples with over 33 million unknowns demonstrate the efficiency and accuracy of the proposed algorithms. </p> <p>Important applications of VIEs in thermal and quantum engineering have also been explored in this work. Creating spin(circularly)-polarized infrared thermal radiation source without an external magnetic field is important in science and engineering. Here we study two materials, magnetic Weyl semimetals and manganese-bismuth(MnBi), which both have permittivity tensors of large gyrotropy, and can emit circularly-polarized thermal radiations without an external magnetic field. We also design symmetry-broken metasurfaces, which show strong circularly-polarized radiations in simulations and experiments. In spin qubit quantum computing systems, metallic gates and antennas are necessary for quantum gate operations. But their existence greatly enhances evanescent wave Johnson noise (EWJN), which induces the decay of spin qubits and limits the quantum gate operation fidelity. Here we first use VIE to accurately simulate realistic quantum gate designs and quantify the influence on gate fidelity due to this noise.</p>