1 citations · 1 across the 2 of their papers we have counts for
3 papers
cond-mat.stat-mech2026
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…
cond-mat.stat-mech2025
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…
quant-ph2024★ 1 cited
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…