Tensor Network States and Effective Particles for Low-Dimensional Quantum Spin Systems

Nonfiction, Science & Nature, Science, Physics, Quantum Theory, Computers, Advanced Computing, Information Technology
Cover of the book Tensor Network States and Effective Particles for Low-Dimensional Quantum Spin Systems by Laurens Vanderstraeten, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Laurens Vanderstraeten ISBN: 9783319641911
Publisher: Springer International Publishing Publication: August 10, 2017
Imprint: Springer Language: English
Author: Laurens Vanderstraeten
ISBN: 9783319641911
Publisher: Springer International Publishing
Publication: August 10, 2017
Imprint: Springer
Language: English

This thesis develops new techniques for simulating the low-energy behaviour of quantum spin systems in one and two dimensions. Combining these developments, it subsequently uses the formalism of tensor network states to derive an effective particle description for one- and two-dimensional spin systems that exhibit strong quantum correlations. These techniques arise from the combination of two themes in many-particle physics: (i) the concept of quasiparticles as the effective low-energy degrees of freedom in a condensed-matter system, and (ii) entanglement as the characteristic feature for describing quantum phases of matter. Whereas the former gave rise to the use of effective field theories for understanding many-particle systems, the latter led to the development of tensor network states as a description of the entanglement distribution in quantum low-energy states.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This thesis develops new techniques for simulating the low-energy behaviour of quantum spin systems in one and two dimensions. Combining these developments, it subsequently uses the formalism of tensor network states to derive an effective particle description for one- and two-dimensional spin systems that exhibit strong quantum correlations. These techniques arise from the combination of two themes in many-particle physics: (i) the concept of quasiparticles as the effective low-energy degrees of freedom in a condensed-matter system, and (ii) entanglement as the characteristic feature for describing quantum phases of matter. Whereas the former gave rise to the use of effective field theories for understanding many-particle systems, the latter led to the development of tensor network states as a description of the entanglement distribution in quantum low-energy states.

More books from Springer International Publishing

Cover of the book To Be Born by Laurens Vanderstraeten
Cover of the book Partial Differential Equations: Modeling, Analysis and Numerical Approximation by Laurens Vanderstraeten
Cover of the book Next Generation Computer Animation Techniques by Laurens Vanderstraeten
Cover of the book String Processing and Information Retrieval by Laurens Vanderstraeten
Cover of the book Synthesis and Optimization of FPGA-Based Systems by Laurens Vanderstraeten
Cover of the book Minimally Invasive Acute Care Surgery by Laurens Vanderstraeten
Cover of the book Integrating Landscapes: Agroforestry for Biodiversity Conservation and Food Sovereignty by Laurens Vanderstraeten
Cover of the book Astronavigation by Laurens Vanderstraeten
Cover of the book An Introduction to Machine Learning by Laurens Vanderstraeten
Cover of the book Cognitive, Conative and Behavioral Neurology by Laurens Vanderstraeten
Cover of the book Modern Manufacturing Engineering by Laurens Vanderstraeten
Cover of the book Contesting Orthodoxy in Medieval and Early Modern Europe by Laurens Vanderstraeten
Cover of the book Magnetic Order and Coupling Phenomena by Laurens Vanderstraeten
Cover of the book The Extravagance of Music by Laurens Vanderstraeten
Cover of the book Rough Sets by Laurens Vanderstraeten
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy