Metropolis has embraced its namesake connection to Superman’s fictional city with such enthusiasm that you might find yourself checking the sky for flying men in capes. The town sits quietly along the ...

A new technique allows complex interactions in materials to be simulated using Monte Carlo simulations thousands of times ...

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ABSTRACT: Stable distributions are well-known for their desirable properties and can effectively fit data with heavy tail. However, due to the lack of an explicit probability density function and ...

In the evening rain, the Perelman Center shimmers like a sturgeon. In the architectural hodgepodge of the former World Trade Center — hard by Santiago Calatrava’s bony Oculus, just opposite Michael ...

For SU(2) lattice gauge theory with the fundamental-adjoint action an efficient heat-bath algorithm is not known so that one had to rely on Metropolis simulations supplemented by overrelaxation.

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MCMCの一つとして知られるMetropolis-Hastings(MH)アルゴリズムは状態空間上の目的とする確率分布Pからのサンプリング手法として知られが、Pの計算が大変な場合の量子MHアルゴリズムを考案。

Hamiltonian Monte Carlo (HMC) is a state-of-the-art method for sampling from unnormalized, high-dimensional target distributions, and is the cornerstone for most probabilistic programming routines. By ...