A stochastic MCMC sampling method with umbrella sampling provides unbiased loop corrections to belief propagation for exact factorization-based tensor network contraction on loopy graphs with symmetric potentials.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
years
2026 3verdicts
UNVERDICTED 3representative citing papers
A mean-field phase-space method emulates continuous-time dynamics of up to thousands of qubits with quadratic cost, capturing single-qubit observables qualitatively on transverse-field Ising models.
Entanglement in initial states of a 2D quantum Ising model suppresses true-vacuum bubble proliferation, stabilizing macroscopic clusters unlike product states.
citing papers explorer
-
Stochastic Loop Corrections to Belief Propagation for Tensor Network Contraction
A stochastic MCMC sampling method with umbrella sampling provides unbiased loop corrections to belief propagation for exact factorization-based tensor network contraction on loopy graphs with symmetric potentials.
-
Emulation of large-scale qubit registers with a phase-space approach
A mean-field phase-space method emulates continuous-time dynamics of up to thousands of qubits with quadratic cost, capturing single-qubit observables qualitatively on transverse-field Ising models.
-
Entanglement-facilitated macroscopic cluster formation in quantum many-body dynamics
Entanglement in initial states of a 2D quantum Ising model suppresses true-vacuum bubble proliferation, stabilizing macroscopic clusters unlike product states.