  Quantum computing is emerging as an important (but radical) technology that
might take us beyond Moore's law for certain applications. Today, in parallel
with improving quantum computers, computer scientists are relying heavily on
quantum circuit simulators to develop algorithms. Most existing quantum circuit
simulators run on general-purpose CPUs or GPUs. However, at the same time,
quantum circuits themselves offer multiple opportunities for parallelization,
some of which could map better to other architecture -- architectures such as
reconfigurable systems. In this early work, we created a quantum circuit
simulator system called Q2Logic. Q2Logic is a coarse-grained reconfigurable
architecture (CGRA) implemented as an overlay on Field-Programmable Gate Arrays
(FPGAs), but specialized towards quantum simulations. We described how Q2Logic
has been created and reveal implementation details, limitations, and
opportunities. We end the study by empirically comparing the performance of
Q2Logic (running on a Intel Agilex FPGA) against the state-of-the-art framework
SVSim (running on a modern processor), showing improvements in three large
circuits (#qbit=27), where Q2Logic can be up-to ~7x faster.
