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arXiv · 2303.17366

A recursively partitioned approach to architecture-aware ZX Polynomial synthesis and optimization

David Winderl·Qunsheng Huang·Christian B. Mendl
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Abstract

The synthesis of quantum circuits from phase gadgets in the ZX-calculus facilitates quantum circuit optimization. Our work provides an alternative formulation for the architecture-aware synthesis algorithm of PauliOpt by replacing the stochastic approach of PauliOpt with a heuristic based search and utilizes a divide and conquer method to synthesize an optimized circuit from a ZX polynomial. We provide a comparison of our algorithm with PauliOpt and other state-of-the-art optimization libraries. While we note poorer performance for highly structured circuits, as in the QAOA formulation for Max-Cut, we demonstrate a significant advantage for randomized circuits, which highlights the advantages of utilizing an architecture-aware methodology.

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David Winderl, Qunsheng Huang, Christian B. Mendl. 2023-03-30. A recursively partitioned approach to architecture-aware ZX Polynomial synthesis and optimization. https://doi.org/10.1109/qce57702.2023.00098

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