Locality and Digital Quantum Simulation of Power-Law Interactions
The propagation of information in nonrelativistic quantum systems obeys a speed limit known as a Lieb-Robinson bound. We derive a new Lieb-Robinson bound for systems with interactions that decay with distance as a power law, 1/ . The bound implies an effective light cone tighter than all previous bo...
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Published in | Physical review. X Vol. 9; no. 3; p. 031006 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Physical Society
10.07.2019
American Physical Society (APS) |
Subjects | |
Online Access | Get full text |
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Summary: | The propagation of information in nonrelativistic quantum systems obeys a speed limit known as a Lieb-Robinson bound. We derive a new Lieb-Robinson bound for systems with interactions that decay with distance
as a power law, 1/
. The bound implies an effective light cone tighter than all previous bounds. Our approach is based on a technique for approximating the time evolution of a system, which was first introduced as part of a quantum simulation algorithm by Haah
, FOCS'18. To bound the error of the approximation, we use a known Lieb-Robinson bound that is weaker than the bound we establish. This result brings the analysis full circle, suggesting a deep connection between Lieb-Robinson bounds and digital quantum simulation. In addition to the new Lieb-Robinson bound, our analysis also gives an error bound for the Haah
quantum simulation algorithm when used to simulate power-law decaying interactions. In particular, we show that the gate count of the algorithm scales with the system size better than existing algorithms when
> 3
(where
is the number of dimensions). |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 SC0019040; SC0019449; NSF PHY-1748958; DGE 1322106; PHY-1607611 CIFAR USDOE Office of Science (SC), Basic Energy Sciences (BES) US Army Research Office (ARO) ARCS Foundation USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) National Science Foundation (NSF) Heising-Simons Foundation National Institute of Standards and Technology (NIST) US Air Force Office of Scientific Research (AFOSR) |
ISSN: | 2160-3308 2160-3308 |
DOI: | 10.1103/physrevx.9.031006 |