4 citations · 4 across the 1 of their papers we have counts for
6 papers
The Stochastic State Selection Method Combined with the Lanczos Approach to Eigenvalues in Quantum Spin Systems
Tomo Munehisa, Yasuko Munehisa
We describe a further development of the stochastic state selection method, a new Monte Carlo method we have proposed recently to make numerical calculations in large quantum spin…
Numerical Study for an Equilibrium in the Recursive Stochastic State Selection Method
Tomo Munehisa, Yasuko Munehisa
We apply the recursive stochastic state selection method, which is a new method for Monte Carlo study we have recently developed, to quantum spin systems with positive definite Ham…
A Recursive Method of the Stochastic State Selection for Quantum Spin Systems
Tomo Munehisa, Yasuko Munehisa
In this paper we propose the recursive stochastic state selection method, an extension of the recently developed stochastic state selection method in Monte Carlo calculations for q…
The Stochastic State Selection Method for Energy Eigenvalues in the Shastry-Sutherland Model
Tomo Munehisa, Yasuko Munehisa
We apply a recently developed stochastic method to the Shastry-Sutherland model on 4x4 and 8x8 lattices. This method, which we call the Stochastic State Selection Method here, enab…
A New Approach to Stochastic State selections in Quantum Spin Systems
Tomo Munehisa, Yasuko Munehisa
We propose a new type of Monte Carlo approach in numerical studies of quantum systems. Introducing a probability function which determines whether a state in the vector space survi…
Quantum Monte Carlo Study of the Hubbard Ladder
Yasuko Munehisa
We present quantum Monte Carlo results for the Hubbard model on a ladder using the re-structuring method which employ eigenstates of two-site system on a rung to construct a comple…