Speaker
ALVARO SAIZ CASTILLO
(UNIVERSIDAD DE SEVILLA)
Description
The Lipkin-Meshkov-Glick model (Lipkin model for short) describes a two-level system of N particles interacting with a long-range interaction, which is further generalized by adding an anharmonicity term with an extra control parameter. It is of interest in nuclear physics as a simple non-trivial model with two symmetry configurations that give rise to two distinct quantum phases. In this work, the time-evolution of the anharmonic Lipkin model is implemented and executed in a quantum chip, measuring a dynamical correlation function. This correlation function is then employed to classify the corresponding quantum phase via a supervised machine learning algorithm trained on classical simulations of the simpler Lipkin model.
| Sessions | Quantum Simulation |
|---|---|
| Invited | No |
Author
ALVARO SAIZ CASTILLO
(UNIVERSIDAD DE SEVILLA)
Co-author
Pedro Pérez-Fernández
(Universidad de Sevilla)