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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.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2021 reference point for readers tracking recent quantum research.
- The mapping of quantum circuits to qubits represented by ion states in a storage ring quantum computer is examined.
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