Computational Vacuum Energy

Jincheng Zhang

Published Aug 20, 2026• 0 citations

Abstract

This paper explores the concept of computational vacuum energy (CVE), proposing a framework for quantifying and modeling the energy associated with quantum fluctuations within a simulated environment. The core argument posits that the act of computation itself, regardless of the underlying physical implementation, introduces a residual energy component – CVE – arising from the inherent probabilistic nature of quantum systems and their manipulation. We introduce a mathematical model, expressed in terms of wave function collapse probabilities (WCP) and decoherence rates (DR), to estimate CVE. The model suggests that higher levels of computational complexity, characterized by increased WCP and DR, correlate with a greater potential for CVE generation. This research lays the groundwork for understanding potential energy implications of advanced computing architectures and offers a novel perspective on the relationship between information processing and energy dissipation. The key equation demonstrating this relationship is: ΔE = α * (WCP + DR), where ΔE represents the change in CVE, α is a proportionality constant dependent on the system parameters, WCP is the wave function collapse probability, and DR is the decoherence rate. Further investigation is needed to determine the precise values of α and to validate this model against experimental data.

DOI: 10.5281/zenodo.22021100

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