量子モンテカルロ法は、多体粒子系において物理量の期待値を正しく計算しようとする方法です。多体電子系においては、ハバードモデル
などに応用されています。
We are developing an optimization method on the basis of the Quantum Monte Carlo algorithm [1].
Typically, the ground-state wave function is defined as
&psi = e-&tau H&psi0,
where H is the Hamiltonian and &psi0 is the initial one-particle state such as the Fermi sea.
In the quantum Monte Carlo method this wave function is written as a
linear combination of the basis states, generated using the Hubbard-Stratonovich transformation; that is
&psi = &summcm&phim.
There are several ways to treat this wave function.
In the standard method, as is well known, we use the Metropolis algorithm to evaluate the expectation values.
In stead, here, we present an alternative algorithm.
From the variational principle, the coefficients cm are determined
in the selected subspace {&phim} to calculate the ground-state energy and other quantities.
We denote the number of states in this subspace as Nstates.
If the expectation values are not highly sensitive to the number of basis states, we can obtain correct
expectation values by using an extrapolation in terms of the number of basis states at the limit
Nstates &rarr &infin.
[1] T. Yanagisawa: Physical Review B75 (2007) 224503.
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