Algorithmic quantum simulation of memory effects

U. Alvarez-Rodriguez, R. Di Candia, J. Casanova, M. Sanz, Enrique Solano

Research output: Contribution to journalArticleScientificpeer-review

7 Citations (Scopus)


We propose a method for the algorithmic quantum simulation of memory effects described by integrodifferential evolution equations. It consists in the systematic use of perturbation theory techniques and a Markovian quantum simulator. Our method aims to efficiently simulate both completely positive and nonpositive dynamics without the requirement of engineering non-Markovian environments. Finally, we find that small error bounds can be reached with polynomially scaling resources, evaluated as the time required for the simulation.
Original languageEnglish
Number of pages6
JournalPhysical Review A
Publication statusPublished - 2017
MoE publication typeA1 Journal article-refereed


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