19 citations · 46 across the 7 of their papers we have counts for
6 papers · 1 filter
Real time simulations of scalar fields with kernelled complex Langevin equation
Daniel Alvestad, Alexander Rothkopf, Dénes Sexty
Real time evolution of a scalar field theory is investigated. The severe sign problem is circumvented using the Complex Langevin equation. The naive application of the method break…
Lattice real-time simulations with learned optimal kernels
Daniel Alvestad, Alexander Rothkopf, Dénes Sexty
We present a simulation strategy for the real-time dynamics of quantum fields, inspired by reinforcement learning. It builds on the complex Langevin approach, which it amends with…
Kernel controlled real-time Complex Langevin simulation
Daniel Alvestad, Rasmus Larsen, Alexander Rothkopf
This study explores the utility of a kernel in complex Langevin simulations of quantum real-time dynamics on the Schwinger-Keldysh contour. We give several examples where we use a…
Kernel controlled real-time Complex Langevin simulation
Daniel Alvestad, Rasmus Larsen, Alexander Rothkopf
This study explores the utility of a kernel in complex Langevin simulations of quantum real-time dynamics on the Schwinger-Keldysh contour. We give several examples where we use a…
Towards learning optimized kernels for complex Langevin
Daniel Alvestad, Rasmus Larsen, Alexander Rothkopf
We present a novel strategy aimed at restoring correct convergence in complex Langevin simulations. The central idea is to incorporate system-specific prior knowledge into the simu…
Stable solvers for real-time Complex Langevin
Daniel Alvestad, Rasmus Larsen, Alexander Rothkopf
This study explores the potential of modern implicit solvers for stochastic partial differential equations in the simulation of real-time complex Langevin dynamics. Not only do the…