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arXiv · 2311.13107

Powerful Quantum Circuit Resizing with Resource Efficient Synthesis

Siyuan Niu·Akel Hashim·Costin Iancu·Wibe Albert de Jong·Ed Younis
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Abstract

In the noisy intermediate-scale quantum era, mid-circuit measurement and reset operations facilitate novel circuit optimization strategies by reducing a circuit's qubit count in a method called resizing. This paper introduces two such algorithms. The first one leverages gate-dependency rules to reduce qubit count by 61.6% or 45.3% when optimizing depth as well. Based on numerical instantiation and synthesis, the second algorithm finds resizing opportunities in previously unresizable circuits via dependency rules and other state-of-the-art tools. This resizing algorithm reduces qubit count by 20.7% on average for these previously impossible-to-resize circuits.

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Siyuan Niu, Akel Hashim, Costin Iancu, Wibe Albert de Jong, Ed Younis. 2023-11-22. Powerful Quantum Circuit Resizing with Resource Efficient Synthesis. https://arxiv.org/abs/2311.13107

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