Quantum Wavefunction Collapse with Adaptive Bias
Jincheng Zhang
Abstract
Quantum wave function collapse is a cornerstone of quantum mechanics, yet its precise mechanism remains a subject of intense theoretical investigation. This paper explores a novel framework for understanding this collapse process, proposing a dynamic bias that adjusts the probability distribution of outcomes as the measurement progresses. We introduce a modified collapse mechanism incorporating this bias, aiming to provide a more controllable and efficient collapse process compared to existing approaches. We present a theoretical model demonstrating the effectiveness of this approach in simulating various quantum systems, showcasing potential for enhanced control over quantum outcomes.