1.

Record Nr.

UNICAMPANIAVAN0262428

Autore

Ruysch, Frederik <1638-1731>

Titolo

Frederici Ruyschii ... Responsio, ad dissertationem epistolicam, viri doctissimi, Jo. Christoph. Bohlii, ... quam, de usu novarum cavae propaginum in systemate chylopoeo, nec non de cortice cerebri, conscripsit. Cum figura aenea

Pubbl/distr/stampa

Amstelodami, : apud Janssonio-Waesbergios, 1727

Descrizione fisica

12 p. : ill. ; 4°

Lingua di pubblicazione

Latino

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Segnatura: A⁴ B²

2.

Record Nr.

UNINA9910300535803321

Autore

Montangero Simone

Titolo

Introduction to Tensor Network Methods : Numerical simulations of low-dimensional many-body quantum systems / / by Simone Montangero

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018

ISBN

3-030-01409-6

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (172 pages)

Disciplina

530.12

Soggetti

Physics

Quantum theory

Quantum computers

Mathematical physics

Numerical and Computational Physics, Simulation

Quantum Physics

Quantum Computing

Mathematical Applications in the Physical Sciences

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa



Livello bibliografico

Monografia

Nota di contenuto

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. .

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 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. .