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Efficient simulation of sparse Markovian quantum dynamics

Authors :
Childs, Andrew M.
Li, Tongyang
Source :
Quantum Information and Computation 17, 901-947 (2017)
Publication Year :
2016

Abstract

Quantum algorithms for simulating Hamiltonian dynamics have been extensively developed, but there has been much less work on quantum algorithms for simulating the dynamics of open quantum systems. We give the first efficient quantum algorithms for simulating Markovian quantum dynamics generated by Lindbladians that are not necessarily local. We introduce two approaches to simulating sparse Lindbladians. First, we show how to simulate Lindbladians that act within small invariant subspaces using a quantum algorithm to implement sparse Stinespring isometries. Second, we develop a method for simulating sparse Lindblad operators by concatenating a sequence of short-time evolutions. We also show limitations on Lindbladian simulation by proving a no-fast-forwarding theorem for simulating sparse Lindbladians in black-box models.<br />Comment: 48 pages, 6 figures. v2: A complete proof of Proposition 2 is added

Subjects

Subjects :
Quantum Physics

Details

Database :
arXiv
Journal :
Quantum Information and Computation 17, 901-947 (2017)
Publication Type :
Report
Accession number :
edsarx.1611.05543
Document Type :
Working Paper
Full Text :
https://doi.org/10.26421/QIC17.11-12