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

TL;DR

MEMQSim introduces a memory-efficient quantum state-vector simulator leveraging data compression and GPU acceleration, addressing key architectural challenges and promising enhanced performance for quantum circuit simulation.

Contribution

The paper presents a novel memory-efficient quantum state-vector simulation approach using data compression and GPU support, with initial implementation and integration potential.

Findings

Preliminary implementation demonstrates feasibility

Potential for integration with other GPU simulators

Future results expected to confirm efficiency and performance

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.