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Superconducting Qubits
Towards Efficient Superconducting Quantum Processor Architecture Design
arXiv
Authors: Gushu Li, Yufei Ding, Yuan Xie
Year
2019
Paper ID
14452
Status
Preprint
Abstract Read
~2 min
Abstract Words
140
Citations
N/A
Abstract
More computational resources (i.e., more physical qubits and qubit connections) on a superconducting quantum processor not only improve the performance but also result in more complex chip architecture with lower yield rate. Optimizing both of them simultaneously is a difficult problem due to their intrinsic trade-off. Inspired by the application-specific design principle, this paper proposes an automatic design flow to generate simplified superconducting quantum processor architecture with negligible performance loss for different quantum programs. Our architecture-design-oriented profiling method identifies program components and patterns critical to both the performance and the yield rate. A follow-up hardware design flow decomposes the complicated design procedure into three subroutines, each of which focuses on different hardware components and cooperates with corresponding profiling results and physical constraints. Experimental results show that our design methodology could outperform IBM's general-purpose design schemes with better Pareto-optimal results.
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- This paper contributes to the Superconducting Qubits research area in the Quantum Articles archive.
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- More computational resources (i.e., more physical qubits and qubit connections) on a superconducting quantum processor not only improve the performance but also result in more...
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