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MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation
- Publication Year :
- 2023
-
Abstract
- In this extended abstract, we have introduced 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.
- Subjects :
- Quantum Physics
Computer Science - Emerging Technologies
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2309.16979
- Document Type :
- Working Paper