Three approaches for representing Lindblad dynamics by a matrix-vector notation
Morag Am-Shallem, Amikam Levy, Ido Schaefer, Ronnie Kosloff

TL;DR
This paper reviews three methods to represent Lindblad dynamics in matrix-vector form, improving numerical implementation for open quantum systems, demonstrated on a driven two-level system with spontaneous emission.
Contribution
It introduces and compares three approaches for matrix-vector representation of Lindblad dynamics, enhancing computational efficiency in quantum system simulations.
Findings
All three methods successfully represent Lindblad dynamics in matrix-vector form.
The approaches are demonstrated on a driven two-level system with spontaneous emission.
The methods improve numerical implementation of open quantum system simulations.
Abstract
Markovian dynamics of open quantum systems are described by the L-GKS equation, known also as the Lindblad equation. The equation is expressed by means of left and right matrix multiplications. This formulation hampers numerical implementations. Representing the dynamics by a matrix-vector notation overcomes this problem. We review three approaches to obtain such a representation. The methods are demonstrated for a driven two-level system subject to spontaneous emission.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSpectroscopy and Quantum Chemical Studies · Quantum Information and Cryptography · Cold Atom Physics and Bose-Einstein Condensates
