Generalized Moment Method for Gap Estimation and Quantum Monte Carlo Level Spectroscopy

被引:24
|
作者
Suwa, Hidemaro [1 ,2 ]
Todo, Synge [2 ,3 ]
机构
[1] Boston Univ, Dept Phys, Boston, MA 02215 USA
[2] Univ Tokyo, Dept Phys, Tokyo 1130033, Japan
[3] Univ Tokyo, Inst Solid State Phys, Kashiwa, Chiba 2778581, Japan
关键词
SPIN-PEIERLS TRANSITION; ANTIFERROMAGNETIC CHAINS; SYSTEMS; MATRIX; SIMULATIONS; MODEL;
D O I
10.1103/PhysRevLett.115.080601
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We formulate a convergent sequence for the energy gap estimation in the worldline quantum Monte Carlo method. The ambiguity left in the conventional gap calculation for quantum systems is eliminated. Our estimation will be unbiased in the low-temperature limit, and also the error bar is reliably estimated. The level spectroscopy from quantum Monte Carlo data is developed as an application of the unbiased gap estimation. From the spectral analysis, we precisely determine the Kosterlitz-Thouless quantum phase-transition point of the spin-Peierls model. It is established that the quantum phonon with a finite frequency is essential to the critical theory governed by the antiadiabatic limit, i.e., the k = 1 SU(2) Wess-Zumino-Witten model.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] Quantifying uncertain system outputs via the multilevel Monte Carlo method - Part I: Central moment estimation
    Krumscheid, S.
    Nobile, F.
    Pisaroni, M.
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2020, 414
  • [42] Spin Gap in β-TeVO4: a Quantum Monte Carlo Study
    Augusto S. Freitas
    Michael S. Reis
    J. Espínola
    M. A. Gomes
    C. A. da Silva
    L. S. Silva
    [J]. Brazilian Journal of Physics, 2020, 50 : 225 - 229
  • [43] Spin Gap in β-TeVO4: a Quantum Monte Carlo Study
    Freitas, Augusto S.
    Reis, Michael S.
    Espinola, J.
    Gomes, M. A.
    da Silva, C. A.
    Silva, L. S.
    [J]. BRAZILIAN JOURNAL OF PHYSICS, 2020, 50 (03) : 225 - 229
  • [44] Quantum Monte Carlo estimation of properties of novel nanoscale compounds
    Harkless, JAW
    Fayton, F
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2005, 230 : U1290 - U1290
  • [45] Quantum Monte Carlo estimation of the energetics and thermodynamics of water and ice
    Ceperley, David M.
    Gergely, J.
    Clark, Bryan
    Esler, K.
    McMinis, J.
    Kim, J.
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2009, 238
  • [46] Fast Monte Carlo Method for Condition Number Estimation
    Gurova, Silvi-Maria
    Karaivanova, Aneta
    [J]. DIGITAL PRESENTATION AND PRESERVATION OF CULTURAL AND SCIENTIFIC HERITAGE, 2021, 11 : 247 - 252
  • [47] A new Monte Carlo method for environmental contour estimation
    Huseby, Arne B.
    Vanem, Erik
    Natvig, Bent
    [J]. SAFETY AND RELIABILITY: METHODOLOGY AND APPLICATIONS, 2015, : 2091 - 2098
  • [48] Parametric differentiation and estimation of eigenvalues by the Monte Carlo method
    G. A. Mikhaîlov
    R. N. Makarov
    [J]. Siberian Mathematical Journal, 1998, 39 : 806 - 815
  • [49] The application of monte carlo method in satellite cost estimation
    Wang, Z
    Cui, B
    Chen, B
    [J]. PROCEEDINGS OF THE 2001 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING, VOLS I AND II, 2001, : 392 - 396
  • [50] A Monte Carlo method for estimation of pore volumes of zeolites
    Bandyopadhyay, S
    Yashonath, S
    [J]. ZEOLITES, 1997, 19 (01): : 51 - 56