Title: Algorithmic Resonance-Based Quantum Simulation (ARQS)

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces Algorithmic Resonance-Based Quantum Simulation (ARQS), a novel quantum simulation algorithm designed to dramatically enhance the fidelity of quantum system simulations through the utilization of resonant frequencies. Traditional quantum simulation methods often struggle with accuracy, particularly for complex systems due to the inherent challenges of representing and manipulating quantum states. ARQS addresses these challenges by exploiting the inherent resonance properties of quantum systems to dynamically adjust simulation parameters, effectively reducing computational cost and error. The core mechanism of ARQS involves identifying resonant frequencies within the system and utilizing them to 'tune' the simulation, leading to a significant improvement in simulation fidelity. This research explores the theoretical foundations, implementation details, and preliminary experimental results supporting the potential of ARQS to revolutionize quantum science.

DOI: 10.5281/zenodo.22491504

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