Real-time methods for spectral functions
Johannes V. Roth, Dominik Schweitzer, Leon J. Sieke, and Lorenz von, Smekal

TL;DR
This paper compares real-time methods like classical-statistical simulations, Gaussian state approximation, and functional renormalization group for calculating spectral functions in a dissipative quantum system, highlighting their strengths and limitations.
Contribution
It introduces a novel causal regulator for the real-time FRG and extends the GSA to open systems, providing a comprehensive comparison of methods for spectral function computation.
Findings
Classical, GSA, and exact results agree at high temperatures.
Real-time FRG captures effective thermal mass but overestimates broadening.
GSA performs well at low temperatures and strong coupling.
Abstract
In this paper we develop and compare different real-time methods to calculate spectral functions. These are classical-statistical simulations, the Gaussian state approximation (GSA), and the functional renormalization group (FRG) formulated on the Keldysh closed-time path. Our test-bed system is the quartic anharmonic oscillator, a single self-interacting bosonic degree of freedom, coupled to an external heat bath providing dissipation analogous to the Caldeira-Leggett model. As our benchmark we use the spectral function from exact diagonalization with constant Ohmic damping. To extend the GSA for the open system, we solve the corresponding Heisenberg-Langevin equations in the Gaussian approximation. For the real-time FRG, we introduce a novel general prescription to construct causal regulators based on introducing scale-dependent fictitious heat baths. Our results explicitly…
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Taxonomy
TopicsSpectroscopy and Quantum Chemical Studies · Advanced Thermodynamics and Statistical Mechanics · Quantum Information and Cryptography
