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[null,"1.","Record Nr.",null,"UNINA9910300535803321"]
[null,null,"Autore",null,"Montangero Simone"]
[null,null,"Titolo",null,"Introduction to Tensor Network Methods : Numerical simulations of low-dimensional many-body quantum systems / / by Simone Montangero"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018"]
[null,null,"ISBN",null,"3-030-01409-6"]
[null,null,"Edizione",null,"[1st ed. 2018.]"]
[null,null,"Descrizione fisica",null,"1 online resource (172 pages)"]
[null,null,"Disciplina",null,"530.12"]
[null,null,"Soggetti",null,"Physics"]
[{"$nulls":4},"Quantum theory"]
[{"$nulls":4},"Quantum computers"]
[{"$nulls":4},"Mathematical physics"]
[{"$nulls":4},"Numerical and Computational Physics, Simulation"]
[{"$nulls":4},"Quantum Physics"]
[{"$nulls":4},"Quantum Computing"]
[{"$nulls":4},"Mathematical Applications in the Physical Sciences"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Introduction -- Part I: Software and Hardware -- Lesson 1: Computer for Physicists -- Lesson 2: Software for Physicists -- Part II: Crash Programming Course -- Lesson 3: Fortran -- Lesson 4: Python -- Lesson 5: Gnuplot -- Part III: Single-Body Problem -- Lesson 6: Matrix Diagonalization -- Lesson 7: Integrals -- Lesson 8: Differential Equations -- Part IV: Many-Body Problem -- Lesson 9: Monte Carlo -- Lesson 10: Renormalization Group -- Lesson 11: Tensor Networks -- Part V: Symmetries -- Lesson 12: Group Theory -- Lesson 13: Quantum Phase Transitions -- Lesson 14: Global Symmetries -- Lesson 15: Gauge Theories. ."]
[null,null,null,"Sommario/riassunto","This volume of lecture notes briefly introduces the basic concepts needed in any computational physics course: software and hardware, programming skills, linear algebra, and differential calculus. It then presents more advanced numerical methods to tackle the quantum many-body problem: it reviews the numerical renormalization group and then focuses on tensor network methods, from basic concepts to gauge invariant ones. Finally, in the last part, the author presents some "]
[{"$nulls":4},"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. ."]