Non-perturbative False Vacuum Decay Using Lattice Monte Carlo in Imaginary Time
Luchang Jin, Joshua Swaim
TL;DR
This work develops a non-perturbative lattice Monte Carlo framework to compute false vacuum decay rates from imaginary-time data. Central to the approach is the Implicit Decay Amplitude Method, which expresses the real-time decay rate $oxed{Γ}$ in terms of a spectral quantity, encoded via a Euclidean observable $Q(t)$ and a spectral function $ ho(E)$, with $oxed{Γ}$ related to $oxed{ρ(E_{FV})}$ through a relation analogous to Fermi's Golden Rule. To extract $ ho(E)$ from noisy Euclidean data, the authors adopt a Gaussian ansatz and perform spectral reconstruction, while mitigating ergodicity and signal-suppression challenges using the Intermediate Ratios Method and multiple ensembles. The method is demonstrated in a 1D quantum system, where lattice Monte Carlo results match exact Schrödinger solutions within a factor of two, highlighting that spectral reconstruction is the dominant systematic error and suggesting clear paths for improvement. The framework offers a fully non-perturbative route to false vacuum decay, with potential extensions to field theories and finite-temperature settings, providing a pathway to quantify extremely small decay rates beyond semiclassical approximations.
Abstract
We present a new method for calculating quantum tunneling rates using lattice Monte Carlo simulations in imaginary time. This method is designed with the goal of studying false vacuum decay non-perturbatively on the lattice. To get results in real time, we construct an implicit decay amplitude, inspired by Fermi's Golden Rule, and use spectral reconstruction. To deal with the suppression of the false vacuum state in the Euclidean path integral, we develop a new sampling method which combines results from multiple Monte Carlo simulations. For a simple family of one-dimensional quantum systems, we reproduce the tunneling rates calculated from the Schrodinger equation.
