… Quantum Monte Carlo (QMC) methods are a class of algorithm that aim to model … quantum
particles, typically an atom or molecule. In its simplest form, Variational Quantum Monte Carlo (…

… The diffusion Monte Carlo (DMC) variant of QMC has substantially reduced basis set truncation
and basis set superposition errors relative to other ab initio methods. For bosonic systems…

… mapped out using projective auxiliary field quantum Monte Carlo simulations. The quantum
… For 0:025 < =t < 0:25 we observe no spin ordering along the z quantization axis up to U=t ž 9…

… This can be carried out using an MC procedure … sort the components of 𝐑, thereby finding
the permutation ̄𝜋(𝐑) such that ̄𝜋(𝐑)𝐑 is in the unique orthant corresponding to fully sorted …

… a correct energy ordering for different competing structures. … In conclusion, we have carried
out QMC calculations of silicon … clusters and its role on the energetical ordering of structures. …

… Then, duplicate determinants are filtered out by searching for duplicates among … array is
sorted (in linear time with the radix sort), and we apply the corresponding ordering to the three …

… The sum is then carried out by the Metropolis Monte Carlo … out that the naive computational
complexity of the Monte … a few column interchanges from the initial ordering. As a result, the …

… 1 will be valuable in sorting out the contending perspectives. The Fermilevel degeneracy
one finds in the uniform flux state may have interesting consequences that will need to be …

… The probability to have Nk kinks of a given sort on the time interval 0, b is given by the … The
present Monte Carlo algorithm treats all of the phonons in an infinite lattice exactly through the …

We report on quantum Monte Carlo calculations of the ground and low-lying excited states
of A= 9, 10 nuclei using realistic Hamiltonians containing the Argonne v 18 two-nucleon …