59 citations · 77 across the 6 of their papers we have counts for
7 papers
Neural Field Transformations for Hybrid Monte Carlo: Architectural Design and Scaling
Jinchen He, Xiao-Yong Jin, James C. Osborn +1
Critical slowing down, where autocorrelation grows rapidly near the continuum limit due to Hybrid Monte Carlo (HMC) moving through configuration space inefficiently, still challeng…
Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery
William E. Allcock, Benjamin S. Allen, James Anchell +106
Aurora is Argonne National Laboratory's pioneering Exascale supercomputer, designed to accelerate scientific discovery with cutting-edge architectural innovations. Key new technolo…
MLMC: Machine Learning Monte Carlo for Lattice Gauge Theory
Sam Foreman, Xiao-Yong Jin, James C. Osborn
We present a trainable framework for efficiently generating gauge configurations, and discuss ongoing work in this direction. In particular, we consider the problem of sampling con…
Moving from continuous to discrete symmetry in the 2D XY model
Nouman Butt, Xiao-Yong Jin, James C Osborn +1
We study the effects of discretization on the U(1) symmetric XY model in two dimensions using the Higher Order Tensor Renormalization Group (HOTRG) approach. Regarding the sy…
HMC with Normalizing Flows
Sam Foreman, Taku Izubuchi, Luchang Jin +3
We propose using Normalizing Flows as a trainable kernel within the molecular dynamics update of Hamiltonian Monte Carlo (HMC). By learning (invertible) transformations that simpli…
Quantum Circuit Cutting with Maximum Likelihood Tomography
Michael A. Perlin, Zain H. Saleem, Martin Suchara +1
We introduce maximum likelihood fragment tomography (MLFT) as an improved circuit cutting technique for running clustered quantum circuits on quantum devices with a limited number…
Maximum-Likelihood Approach to Topological Charge Fluctuations in Lattice Gauge Theory
R. C. Brower, M. Cheng, G. T. Fleming +11
We present a novel technique for the determination of the topological susceptibility (related to the variance of the distribution of global topological charge) from lattice gauge t…