3 citations · 8 across the 6 of their papers we have counts for
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quant-ph2022★ 2 cited
Machine Learning approach to the Floquet--Lindbladian problem
V. Volokitin, I. Meyerov, S. Denisov
Similar to its classical version, quantum Markovian evolution can be either time-discrete or time-continuous. Discrete quantum Markovian evolution is usually modeled with completel…
quant-ph2020★ 2 cited
Simulating quantum dynamics: Evolution of algorithms in the HPC context
I. Meyerov, A. Liniov, M. Ivanchenko +1
Due to complexity of the systems and processes it addresses, the development of computational quantum physics is influenced by the progress in computing technology. Here we overvie…
quant-ph2019
Unfolding quantum master equation into a system of real-valued equations: computationally effective expansion over the basis of generators
A. Liniov, I. Meyerov, E. Kozinov +4
Dynamics of an open -state quantum system is typically modeled with a Markovian master equation describing the evolution of the system's density operator. By using generators of…