Parallelizable Quantum State Collapse Algorithms

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Quantum state collapse, the process by which a quantum system transitions from a superposition to a definite state, is a fundamental challenge in quantum computing. Traditional approaches often struggle with the inherent complexity of these transitions, limiting their scalability. This paper explores the potential of parallel computing architectures to dramatically accelerate quantum state collapse. We propose a novel algorithm framework specifically designed to exploit parallelism, dynamically partitioning quantum states across multiple processors and coordinating collapse events to optimize for a faster final state. The core mechanism centers on a sophisticated synchronization and distribution strategy that leverages the inherent parallelism of modern architectures. This research investigates the theoretical and practical implications of such an approach, aiming to address the limitations of current state collapse methods and pave the way for more efficient quantum computations.

DOI: 10.5281/zenodo.22221273

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