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Probabilistic Eigensolver with a Trapped-Ion Quantum Processor

arXiv
Authors: Jing-Ning Zhang, Iñigo Arrazola, Jorge Casanova, Lucas Lamata, Kihwan Kim, Enrique Solano

Year

2018

Paper ID

7355

Status

Preprint

Abstract Read

~2 min

Abstract Words

65

Citations

N/A

Abstract

Quantum simulation of complex quantum systems and their properties often requires the ability to prepare initial states in an eigenstate of the Hamiltonian to be simulated. In addition, to compute the eigenvalues of a Hamiltonian is in general a non-trivial problem. Here, we propose a hybrid quantum-classical probabilistic method to compute eigenvalues and prepare eigenstates of Hamiltonians which are simulatable with a trapped-ion quantum processor.

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  • This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
  • It adds a 2018 reference point for readers tracking recent quantum research.
  • Quantum simulation of complex quantum systems and their properties often requires the ability to prepare initial states in an eigenstate of the Hamiltonian to be simulated.

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