Optimal synthesis of multivalued quantum circuit
Yao-Min Di, Hai-Rui Wei

TL;DR
This paper improves the synthesis of multivalued quantum circuits, demonstrating they can be more efficient than binary circuits, especially as the dimensionality increases, through optimized decompositions and complexity analysis.
Contribution
It introduces asymptotically optimal multivalued quantum Shannon decompositions and an efficient synthesis algorithm for qudit circuits, highlighting their potential advantages over qubit circuits.
Findings
Multivalued quantum circuits are more efficient than binary circuits.
The lower bound of complexity for qudit circuits is smaller by a factor of d-1.
Efficiency index increases with the dimensionality d, indicating potential advantages.
Abstract
Although many of works have been done in multivalued quantum logic synthesis, the question whether multivalued quantum circuits are more efficient than the conventional binary quantum circuits is still open. In this article we devote to the optimization of generic multivalued quantum circuits. The multivalued quantum Shannon decompositions (QSD) are improved so that the circuits obtained are asymptotically optimal for all dimensionality d. The syntheses of uniformly multifold controlled rotations are also optimized to make the circuits further simplified. Moreover, the theoretical lower bound of complexity for multivalued quantum circuits is investigated, and a quantity known as efficiency index is proposed to evaluate the efficiency of synthesis of various quantum circuits. The algorithm for qudit circuits given here is an efficient synthesis routine which produces best known…
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