Trans-Spatiotemporal Bio-Information Fusion System: A Multidimensional Communication Framework Utilizing Quantum Entanglement, Gravitational Waves, Superluminal Particles, and Biological Networks

5 Pages Posted: 6 May 2025

Date Written: January 02, 2025

Abstract

The field of communication technology is advancing beyond traditional spatiotemporal constraints, with quantum entanglement, gravitational waves, and biological networks identified as pivotal enablers of next-generation systems. However, current communication frameworks remain hindered by key challenges, including the speed of light limitation, high energy demands, and poor adaptability in extreme environments. This paper introduces the Trans-Spatiotemporal Bio-Information Fusion System (TSBIFS), an innovative multidimensional communication framework that integrates quantum entanglement, gravitational wave communication, superluminal particles (tachyons and high-speed neutrons), and biological networks. The framework's core is the Bio-Quantum-Tachyon Node (BQTN), which facilitates the storage of quantum states and the spatiotemporal exchange of superluminal information. The paper presents the theoretical feasibility of miniaturized gravitational wave devices and tachyon generation, provides experimental methodologies to address the energy e!ciency of core modules, and discusses ethical, biosafety, and information security considerations. TSBIFS demonstrates transformative potential in applications such as interstellar communication, deep space exploration, extreme environment data transfer, time prediction, and biological network enhancement.

Keywords: Quantum Entanglement, Gravitational Waves, Superluminal Particles, Biological Networks, Tachyons, Spatiotemporal Communication, Interstellar Communication, Brain-Computer Interfaces

Suggested Citation

Chen, Jiaju, Trans-Spatiotemporal Bio-Information Fusion System: A Multidimensional Communication Framework Utilizing Quantum Entanglement, Gravitational Waves, Superluminal Particles, and Biological Networks (January 02, 2025). Available at SSRN: https://ssrn.com/abstract=5165520 or http://dx.doi.org/10.2139/ssrn.5165520

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