Abstract
The circuits produced by reversible and quantum synthesis approaches are not often optimal and post synthesis optimizations are beneficial. This paper introduces a functional approach for the optimization of reversible and quantum circuits that uses a recently introduced structure for semi-classical quantum circuits called Decision Diagram for a Matrix Function (DDMF). Experimental results are given that show that using DDMFs leads to more optimizations than are found using existing approaches.
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Sasanian, Z., Miller, D.M. (2013). Reversible and Quantum Circuit Optimization: A Functional Approach. In: Glück, R., Yokoyama, T. (eds) Reversible Computation. RC 2012. Lecture Notes in Computer Science, vol 7581. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36315-3_9
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DOI: https://doi.org/10.1007/978-3-642-36315-3_9
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