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Tensor Network Contractions [[electronic resource] ] : Methods and Applications to Quantum Many-Body Systems / / by Shi-Ju Ran, Emanuele Tirrito, Cheng Peng, Xi Chen, Luca Tagliacozzo, Gang Su, Maciej Lewenstein
| Tensor Network Contractions [[electronic resource] ] : Methods and Applications to Quantum Many-Body Systems / / by Shi-Ju Ran, Emanuele Tirrito, Cheng Peng, Xi Chen, Luca Tagliacozzo, Gang Su, Maciej Lewenstein |
| Autore | Ran Shi-Ju |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XIV, 150 p. 68 illus., 65 illus. in color.) |
| Disciplina | 530.15 |
| Collana | Lecture Notes in Physics |
| Soggetto topico |
Physics
Quantum physics Quantum optics Statistical physics Machine learning Elementary particles (Physics) Quantum field theory Mathematical Methods in Physics Quantum Physics Quantum Optics Statistical Physics and Dynamical Systems Machine Learning Elementary Particles, Quantum Field Theory |
| Soggetto non controllato |
Physics
Quantum physics Quantum optics Statistical physics Machine learning Elementary particles (Physics) Quantum field theory |
| ISBN | 3-030-34489-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Tensor Network: Basic Definitions and Properties -- Two-Dimensional Tensor Networks and Contraction Algorithms -- Tensor Network Approaches for Higher-Dimensional Quantum Lattice Models -- Tensor Network Contraction and Multi-Linear Algebra -- Quantum Entanglement Simulation Inspired by Tensor Network -- Summary. |
| Record Nr. | UNISA-996418171403316 |
Ran Shi-Ju
|
||
| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Tensor Network Contractions [[electronic resource] ] : Methods and Applications to Quantum Many-Body Systems / / by Shi-Ju Ran, Emanuele Tirrito, Cheng Peng, Xi Chen, Luca Tagliacozzo, Gang Su, Maciej Lewenstein
| Tensor Network Contractions [[electronic resource] ] : Methods and Applications to Quantum Many-Body Systems / / by Shi-Ju Ran, Emanuele Tirrito, Cheng Peng, Xi Chen, Luca Tagliacozzo, Gang Su, Maciej Lewenstein |
| Autore | Ran Shi-Ju |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XIV, 150 p. 68 illus., 65 illus. in color.) |
| Disciplina | 530.15 |
| Collana | Lecture Notes in Physics |
| Soggetto topico |
Physics
Quantum physics Quantum optics Statistical physics Machine learning Elementary particles (Physics) Quantum field theory Mathematical Methods in Physics Quantum Physics Quantum Optics Statistical Physics and Dynamical Systems Machine Learning Elementary Particles, Quantum Field Theory |
| Soggetto non controllato |
Physics
Quantum physics Quantum optics Statistical physics Machine learning Elementary particles (Physics) Quantum field theory |
| ISBN | 3-030-34489-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Tensor Network: Basic Definitions and Properties -- Two-Dimensional Tensor Networks and Contraction Algorithms -- Tensor Network Approaches for Higher-Dimensional Quantum Lattice Models -- Tensor Network Contraction and Multi-Linear Algebra -- Quantum Entanglement Simulation Inspired by Tensor Network -- Summary. |
| Record Nr. | UNINA-9910372747203321 |
|
Ran Shi-Ju
|
||
| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
