Quantum simulation of the Lindblad equation using a unitary decomposition of operators

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Abstract

Accurate simulation of the time evolution of a quantum system under the influence of an environment is critical to making accurate predictions in chemistry, condensed-matter physics, and materials sciences. Whereas there has been a recent surge in interest in quantum algorithms for the prediction of nonunitary time evolution in quantum systems, few studies offer a direct quantum analog to the Lindblad equation. Here, we present a quantum algorithm - utilizing a decomposition of nonunitary operators approach - that models dynamic processes via the unraveled Lindblad equation. This algorithm is employed to probe both a two-level system in an amplitude damping channel as well as the transverse field Ising model in a variety of parameter regimes; the resulting population dynamics demonstrate excellent agreement with classical simulation, showing the promise of predicting population dynamics utilizing quantum devices for a variety of important systems in molecular energy transport, quantum optics, and other open quantum systems.

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Schlimgen, A. W., Head-Marsden, K., Sager, L. A. M., Narang, P., & Mazziotti, D. A. (2022). Quantum simulation of the Lindblad equation using a unitary decomposition of operators. Physical Review Research, 4(2). https://doi.org/10.1103/PhysRevResearch.4.023216

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