mVMC - Open-source software for many-variable variational Monte Carlo method

  title={mVMC - Open-source software for many-variable variational Monte Carlo method},
  author={Takahiro Misawa and Satoshi Morita and Kazuyoshi Yoshimi and Mitsuaki Kawamura and Yuichi Motoyama and Kota Ido and Takahiro Ohgoe and Masatoshi Imada and Takeo Kato},
  journal={Comput. Phys. Commun.},

Determinant-free fermionic wave function using feed-forward neural networks

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An accelerated linear method for optimizing non-linear wavefunctions in variational Monte Carlo.

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Single-Particle Spectral Function Formulated and Calculated by Variational Monte Carlo Method with Application to d -Wave Superconducting State

A method to calculate the one-body Green's function for ground states of correlated electron materials is formulated by extending the variational Monte Carlo method. We benchmark against the exact

A random-sampling method as an efficient alternative to variational Monte Carlo for solving Gutzwiller wavefunctions

We present a random-sampling (RS) method for evaluating expectation values of physical quantities using the variational approach. We demonstrate that the RS method is computationally more efficient

TeNeS: Tensor network solver for quantum lattice systems

Symmetry-Projected Jastrow Mean-Field Wave Function in Variational Monte Carlo.

The authors' low-scaling variational Monte Carlo algorithm is extended to optimize the symmetry-projected Jastrow mean-field (SJMF) wave functions, which allows us to calculate other observables such as correlation functions and will enable us to embed the VMC algorithm in a complete active-space self-consistent field calculation.

Charge dynamics of correlated electrons: Variational description with inclusion of composite fermions

We propose a method to calculate the charge dynamical structure factors for the ground states of correlated electron systems based on the variational Monte Carlo method. Our benchmarks for the one-

Many-variable variational Monte Carlo study of superconductivity in two-band Hubbard models with an incipient band

We study superconductivity in two-band models where one of the bands does or does not intersect the Fermi level depending on the parameter values. Applying a many-variable variational Monte-Carlo



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Variational Monte Carlo Method for Electron-Phonon Coupled Systems

We develop a variational Monte Carlo (VMC) method for electron-phonon coupled systems. The VMC method has been extensively used for investigating strongly correlated electrons over the last decades.

Time-dependent many-variable variational Monte Carlo method for nonequilibrium strongly correlated electron systems

We develop a time-dependent variational Monte Carlo (t-VMC) method for quantum dynamics of strongly correlated electrons. The t-VMC method has been recently applied to bosonic systems and quantum

Generalized Lanczos algorithm for variational quantum Monte Carlo

The variational stochastic reconfiguration technique presented here allows in general a many-parameter energy optimization of any computable many-body wave function, including for instance generic long-range Jastrow factors and arbitrary site-dependent orbital determinants.

Variational Monte Carlo method in the presence of spin-orbit interaction and its application to Kitaev and Kitaev-Heisenberg models

We propose an accurate variational Monte Carlo method applicable in the presence of the strong spin-orbit interactions. The algorithm is applicable even in a wider class of Hamiltonians that do not

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Variational Monte-Carlo Studies of Hubbard Model. I

As a continuation of a previous paper [J. Phys. Soc. Jpn. 56 (1987) 1490], the variational Monte-Carlo method is extended to include the antiferromagnetic long-range order. The theory is based on the

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A trial wave function is used that allows a continuous description of the paramagnetic, antiferromagnetic, and superconducting phases, as well as the coexistence of these phases, with no a priori constraint on double occupancy, to study the ground state of the two-dimensional Hubbard and t-J models.