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Quantum computing is a hotspot technology for its potential to acceleratespecific applications by exploiting quantum parallelism. However, currentphysical quantum computers are limited to a relatively small scale, simulatorsbased on conventional machines are significantly relied on to perform quantumcomputing research. The straightforward array-based simulators require atremendous amount of memory that increases exponentially with respect to thenumber of qubits. To mitigate such computing resource concerns, decisiondiagram based simulators were proposed that can efficiently exploit dataredundancies in quantum states and operations. In this paper, we study twoclasses of quantum circuits on which the state-of-the-art decision diagrambased simulators failed to perform well in terms of simulation time. We alsopropose a simple and powerful reorder trick to boost the simulation of suchquantum circuits. Preliminary evaluation results demonstrate the usefulness ofthe proposed trick. Especially, for the Quantum Phase Estimation circuits, theproposed trick achieved speedups up to 313.6x compared to a state-of-the-artapproach that relies on an auxiliary tool to optimize simulation order.

A Reorder Trick for Decision Diagram Based Quantum Circuit Simulation