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Quantum computing is emerging as an important (but radical) technology thatmight take us beyond Moore's law for certain applications. Today, in parallelwith improving quantum computers, computer scientists are relying heavily onquantum circuit simulators to develop algorithms. Most existing quantum circuitsimulators 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 asreconfigurable systems. In this early work, we created a quantum circuitsimulator system called Q2Logic. Q2Logic is a coarse-grained reconfigurablearchitecture (CGRA) implemented as an overlay on Field-Programmable Gate Arrays(FPGAs), but specialized towards quantum simulations. We described how Q2Logichas been created and reveal implementation details, limitations, andopportunities. We end the study by empirically comparing the performance ofQ2Logic (running on a Intel Agilex FPGA) against the state-of-the-art frameworkSVSim (running on a modern processor), showing improvements in three largecircuits (#qbit=27), where Q2Logic can be up-to ~7x faster.

Q2Logic: An Coarse-Grained Architecture targeting Schr\"odinger Quantum Circuit Simulations