Quantum Entanglement Computation Framework: Adaptive Geometry
Jincheng Zhang
Abstract
Quantum entanglement, a fundamental phenomenon in quantum mechanics, offers the potential for transformative computational capabilities. This paper explores the design of a novel quantum computation framework, "Adaptive Geometry," centered around the manipulation of entangled states. This framework aims to dynamically adjust entanglement parameters, effectively enhancing quantum computation through a self-adaptive approach. The core mechanism involves leveraging the strength and path of entanglement to modulate its properties, fostering a more versatile and powerful computational landscape. We present a conceptual design and preliminary analysis of this framework, highlighting its potential to broaden the scope of quantum computation beyond existing algorithmic approaches.