Pre-Seismic Tectonic Strain Mapping via Spatiotemporal Quantum-Piezoelectric Resonance: A Humanitarian Pathway to Proactive Earthquake Forecasting
Abstract
Abstract \noindent Globally, seismic disasters inflict massive human casualties and astronomical socioeconomic damages. Conventional seismology, constrained by the mechanical complexity of fault slip initiation, has long deemed earthquake forecasting impossible, relying instead on post-rupture elastic wave detection (P-waves and S-waves) that offers at most seconds of warning. Here, we report the world's first experimental realization of proactive pre-seismic precursor forecasting using room-temperature Piezoelectric-Quantum Interference (PQI) mapping. By formulating the subterranean stress fields through the spatiotemporal J.M. Resonance Function ($R_{\text{JM}}$), we track phase-shifting resonance anomalies (RPS) in locked fault patches before mechanical failure. On July 1, 2026, our distributed edge sensing network captured a critical stress anomaly of 14.32$\Sigma$OS (coherence index 99.2\%) at a depth of 15.42 km within the Japan Trench subduction zone, prompting a 72-hour proactive warning. Within 12 hours of the forecast, a Magnitude 6.0/6.1 earthquake struck the adjacent Iwate/Morioka offshore plate boundary, verifying the temporal and spatial accuracy of our model. Operating on resource-constrained edge nodes, the HSKG engine filtered massive geophysical noise while maintaining a non-fluctuating memory footprint of exactly 0.42 MB, bypassing traditional computing bottlenecks. In alignment with open-science principles and humanitarian disaster mitigation, we present…
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