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Quantum Machine Learning

Mapping Quantum Circuits to Ions in Storage Ring Quantum Computer Architectures

arXiv
Authors: Thomas Robertazzi, Kevin Brown

Year

2021

Paper ID

62578

Status

Preprint

Abstract Read

~2 min

Abstract Words

92

Citations

N/A

Abstract

The mapping of quantum circuits to qubits represented by ion states in a storage ring quantum computer is examined. Serial, parallel and hybrid architectures for mapping such qubits onto a storage ring quantum computer are presented. Parallelism is an important part of the SRQC architecture in terms of multiple ions, windows and lasers. A "predecessor problem" that arises in such architectures is identified and a solution is proposed. Representative numerical sizing and timing calculations are presented. The entire methodology is very general and extends to several implementation options. Open problems are identified.

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  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
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  • The mapping of quantum circuits to qubits represented by ion states in a storage ring quantum computer is examined.

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