| 書目名稱 | Introduction to Tensor Network Methods |
| 副標題 | Numerical simulation |
| 編輯 | Simone Montangero |
| 視頻video | http://file.papertrans.cn/475/474267/474267.mp4 |
| 概述 | Offers 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 |
| 圖書封面 |  |
| 描述 | .This volume of lecture notes briefly introduces the basic concepts needed in any computational physics course: software and hardware, programming skills, linear algebra, and differential calculus. It then presents more advanced numerical methods to tackle the quantum many-body problem: it reviews the numerical renormalization group and then focuses on tensor network methods, from basic concepts to gauge invariant ones. Finally, in the last part, the author presents some applications of tensor network methods to equilibrium and out-of-equilibrium correlated quantum matter..The book can be used for a graduate computational physics course. After successfully completing such a course, a student should be able to write a tensor network program and can begin to explore the physics of many-body quantum systems. The book can also serve as a reference for researchers working or starting out in the field.?. |
| 出版日期 | Book 2018 |
| 關鍵詞 | computational quantum physics textbook; tensor network methods; lattice gauge theories simulations; num |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-01409-4 |
| isbn_ebook | 978-3-030-01409-4 |
| copyright | Springer Nature Switzerland AG 2018 |
|Archiver|手機版|小黑屋|
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