Wormhole Transport: Toward the Bridge of Artificial Spacetime

Libo Wang

Abstract: In light of the technical bottleneck of lack of controllable means to construct a stable wormhole structure to realize the teleportation of matter in space and time, this work proposes a wormhole transport architecture based on simulation that includes a pedagogical SDP five-module pipeline and an HQOC high-fidelity adaptive pipeline. Combined with a synthetic dataset that records the characteristics of physical objects, the researcher uses single-group analysis in a simulated experimental environment built by OpenAI's o4-mini-high model. The finding is divided into the results of running the experimental code by Python 3.13 IDLE and five objective metrics. According to the objective records, the experimental code can still complete data verification, simulation environment construction and structured result output in a pure state without plug-ins, which shows self-consistent logic and high fault tolerance. At the same time, the data results of task efficiency (TE), task success rate (TSR), chamfer distance (CD), throughput, one-way delay (OWD) all show high reliability and stable convergence. In addition, this work lays the foundation for the future introduction of a hybrid verification platform that combines real-time sensor noise, hardware in-the-loop testing, and quantum acceleration.