1 citations · 1 across the 4 of their papers we have counts for
4 papers
Stochastic Path Compression for Spectral Tensor Networks on Cyclic Graphs
Ryan T. Grimm, Joel D. Eaves
We develop a new approach to compress cyclic tensor networks called stochastic path compression (SPC) that uses an iterative importance sampling procedure to target edges with larg…
The Integral Decimation Method for Quantum Dynamics and Statistical Mechanics
Ryan T. Grimm, Alexander J. Staat, Joel D. Eaves
The solutions to many problems in the mathematical, computational, and physical sciences often involve multidimensional integrals. A direct numerical evaluation of the integral inc…
Accurate Numerical Simulations of Open Quantum Systems Using Spectral Tensor Trains
Ryan T. Grimm, Joel D. Eaves
Decoherence between qubits is a major bottleneck in quantum computations. Decoherence results from intrinsic quantum and thermal fluctuations as well as noise in the external field…
Direct Numerical Solutions to Stochastic Differential Equations with Multiplicative Noise
Ryan T. Grimm, Joel D. Eaves
Inspired by path-integral solutions to the quantum relaxation problem, we develop a numerical method to solve classical stochastic differential equations with multiplicative noise…