Parallel Quantum State Collapse Optimization

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum state collapse is a fundamental process in quantum mechanics, representing the irreversible transition of a quantum system from a superposition of states to a definite state. Its efficiency is critical to the operation of quantum computation. Current methods for managing and optimizing collapse operations, particularly in large-scale systems, often face significant challenges, limiting computational speed. This paper investigates a novel approach to optimize quantum state collapse using parallel quantum computation, focusing on the integration of a quantum annealing algorithm with a distributed processing strategy. The core claim is that this algorithm will drastically accelerate the collapse process compared to traditional methods, offering significant improvements in computational throughput. This work will detail the implementation of the algorithm, the rationale behind its design, and the expected performance gains.

DOI: 10.5281/zenodo.22290222

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