Wave Function Collapse as Information Gain: A Quantum-Information Perspective

Wave function collapse, traditionally viewed as a physical shift from quantum superposition to a definite state, may instead reflect information gain. This opinion piece proposes that collapse reduces uncertainty, quantifiable through Shannon and Von Neumann entropy, aligning with quantum information theory. Gy¨orgy Kampis’ referential information frames collapse as a relational, systems-based event. Experimental hints from single-photon and delayed-choice tests support this view, while philosophical connections to process philosophy and consciousness suggest reality is an informational process. This perspective challenges quantum ontologies and offers potential applications in biology and adaptive technologies, redefining how we understand complex systems.