Parallel Quantum Simulation with Hybrid Quantum-Classical Algorithms

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Parallel Quantum Simulation is a rapidly evolving field within quantum computing, aiming to overcome the limitations of single-qubit or small-system simulations for complex quantum systems. This paper explores a novel hybrid quantum-classical algorithm designed to significantly enhance the computational efficiency of quantum simulations. The core mechanism centers around intelligently combining quantum algorithms for precise calculations with classical algorithms for data processing and control, optimizing the overall simulation process. We present a detailed algorithmic framework, outlining the key steps involved, and discuss the potential benefits, including increased accuracy, reduced computational cost, and improved scalability. This research addresses a critical bottleneck in quantum computing, offering a pathway towards more realistic simulations and accelerating the development of practical quantum applications.

DOI: 10.5281/zenodo.22219824

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