Title: Quantum-Enhanced Wavefunction Collapse for Signal Processing

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum-enhanced wavefunction collapse offers a potentially transformative approach to signal processing, addressing limitations in traditional computational methods. This paper explores the concept of utilizing quantum entanglement and superposition to accelerate the collapse of a wavefunction, resulting in enhanced detection and filtering capabilities. We delve into a proposed quantum algorithm that strategically manipulates quantum states to expedite this crucial step in the signal processing pipeline. The core mechanism involves a carefully designed quantum circuit that exploits the inherent properties of entanglement and superposition to drastically reduce the time required for wavefunction evaluation. This research investigates the theoretical underpinnings, potential advantages, and challenges associated with this quantum-driven paradigm shift. The ultimate goal is to demonstrate a significant improvement in detection and filtering accuracy compared to classical algorithms.

DOI: 10.5281/zenodo.22184970

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