Preliminary Study on Reducing Memory Overhead in Accelerating Quantum Computer Simulations Using PIM Technology

Recent developments in quantum algorithms have demonstrated the promise of quantum computers, even in the era of noisy intermediate-scale quantum computing (NISQ). However, accessing real quantum computers remains challenging due to cost and long wait times. Additionally, the limited scale and noise of these computers can impact the outcomes of algorithms. To overcome these challenges, researchers often rely on quantum computer simulators. However, these simulators, which use CPUs and/or GPUs, suffer from high memory overhead. To address this issue, we propose a processing-in-memory (PIM)-based technology for quantum computer simulation. We confirmed that our proposed approach reduces data movement cycles in memory by 2.76 times on average compared to traditional execution on CPUs.