Particle Field Quantum Computation Optimization (PFQC)

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Particle Field Quantum Computation Optimization (PFQC) is a novel algorithm designed to automatically optimize the parameters of particle field quantum computations, aiming to enhance both computational efficiency and accuracy. This research introduces a unique approach to problem formulation and implementation, leveraging the inherent properties of quantum mechanics to directly address optimization challenges within the context of quantum computing. The core mechanism centers around a dynamic mapping of optimization problems onto the quantum system, employing iterative adjustments to quantum state to achieve optimal results. This paper details the algorithm's design, its theoretical underpinnings, and preliminary experimental results demonstrating its potential to significantly improve quantum computation.

DOI: 10.5281/zenodo.22573672

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