Najbliższe seminaria

12 VIPiotr Sierant (ICFO, Barcelona, Spain)
Controlling entanglement at absorbing state phase transitions in random circuits
Gdzie: MS Teams [ZOA-test], 12:15
Seminarium Zakładowe
Online: [link]
Pokaż pozostałe

[Abstrakt, pełna informacja]

Konferencje

06-08.09.2023 - Konferencja "Time Crystals"

More details na stronie konferencji.

27.06-2.07.2022 - 6th Workshop on Algebraic Designs, Hadamard Matrices & Quanta

Więcej szczegółów on conference website.

05-11.09.2021 - Quantum Optics X

Więcej szczegółów na stronie konferencji.

Open Data

Current: /2203.15697

Arxiv link

We study many-body localization (MBL) transition in disordered Kicked Ising model using a polynomially filtered exact diagonalization (POLFED) algorithm. We quantitatively demonstrate that finite size effects at the MBL transition in disordered Kicked Ising model are less severe than in random field XXZ spin chains widely studied in the context of MBL. This allows us to observe consistent signatures of the transition to MBL phase for a several indicators of ergodicity breaking. We show that an assumption a power-law divergence of the correlation length at the MBL transition yields a critical exponent ν ≈ 2, consistent with the Harris criterion for 1D disordered systems.

The datasets described below were used to produce all figures in the linked arXiv paper.

Figure 1. The ergodic-MBL crossover in Kicked-Ising Model. Jupyter notebook creating plots of Fig. 1 is fig1.ipynb; it employs data stored in directory ./fig1/

Figure 2. Finite size scaling analysis of ergodic-MBL crossover in Kicked Ising Model. Jupyter notebook creating plots of Fig. 2 is fig2.ipynb; it employs data stored in directory ./fig2/

Figure S3. The average gap ratio and the rescaled entanglement entropy as functions of disorder strength W for Kicked Ising model. Jupyter notebook creating plots of Fig. S3 is figS3.ipynb; it employs data stored in directory ./figS3/

Figure S4. The average quantum mutual information in Kicked Ising Model. Jupyter notebook creating plots of Fig. S4 is figS4.ipynb; it employs data stored in directory ./figS4/

Figure S5. The average Schmidt gap and spin stiffness as functions of disorder strength W in Kicked Ising Model. Jupyter notebook creating plots of Fig. S5 is figS5.ipynb; it employs data stored in directory ./figS5/

Figure S6. 6. The disorder strength WT for various choices of the threshold pX compared with the crossing point. Jupyter notebook creating plots of Fig. S6 is figS6.ipynb; it employs data stored in directory ./figS6/

Figure S7. Supplementary data for finite size scaling analysis of ergodic-MBL crossover in Kicked Ising Model. Jupyter notebook creating plots of Fig. S7 is figS7.ipynb; it employs data sets stored in directory ./figS7/

[Parent Directory]
fig1DIR
fig2DIR
figS3DIR
figS4DIR
figS5DIR
figS6DIR
figS7DIR
fig1.ipynb196kB
fig2.ipynb140kB
figS3.ipynb148kB
figS4.ipynb109kB
figS5.ipynb205kB
figS6.ipynb67kB
figS7.ipynb103kB