Titlebook: Introduction to Tensor Network Methods; Numerical simulation Simone Montangero Book 2018 Springer Nature Switzerland AG 2018 computational

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貴族

Numerical Renormalization Group?Methodsl routinely used to study different phenomena?[22, 136, 137], hereafter, we concentrate on its application to numerically attack the many-body quantum problem. To set the stage, we start with the mean-field treatment of the many-body quantum problem and present its application to study the quantum Ising model in transverse field.

令人發(fā)膩

Simone MontangeroOffers self-contained and course-tested lecture notes.Describes the study of lattice gauge theories via tensor network methods for the first time.Serves as a unique reference for computational physici

IDEAS

Diastole

https://doi.org/10.1007/978-3-030-01409-4computational quantum physics textbook; tensor network methods; lattice gauge theories simulations; num

Motilin

遷移

散步

Linear Algebrarios shall be recast into discrete system either via space discretization (see Appendix B) or via second quantization. Finally, a plethora of problems in math, physics, and computer science can be recast in eigenvalues problems, thus hereafter we first introduce the problem and then present, in orde

弓箭

Hyperplasia

Introduction,nd, it encompasses the modeling of the fundamental constituents of the universe?[2] and quantum matter?[3, 4]. On the other hand, the development of most future technology relies on our capability of describing and understanding many-body quantum systems: among others, the electronic structure probl