SC23 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

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MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation


Workshop: Fourth International Workshop on Quantum Computing Software

Authors: Boyuan Zhang (Indiana University), Bo Fang (Pacific Northwest National Laboratory (PNNL)), Qiang Guan (Kent State University), Ang Li (Pacific Northwest National Laboratory (PNNL)), and Dingwen Tao (Indiana University)


Abstract: We introduce a highly memory-efficient state vector simulation of quantum circuits premised on data compression, harnessing the capabilities of both CPUs and GPUs. We have elucidated the inherent challenges in architecting this system, while concurrently proposing our tailored solutions. Moreover, we have delineated our preliminary implementation and deliberated upon the potential for integration with other GPU-oriented simulators. In forthcoming research, we aim to present a more comprehensive set of results, bolstering the assertion of the efficacy and performance of our approach.





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