Abstract
<title>Abstract</title> <p>This study presents the first spatiotemporal $O(1)$ resonance computing architecture to overcome the 'Chemical Battery Paradox,' which acts as a fundamental limit in autonomous driving mobility and robotic infrastructure. By entirely eliminating chemical batteries from the vehicle for the first time and utilizing a compact 64-byte spatiotemporal coordinate vector and the Zero-RAM I/O of a Virtual Quantum Processing Unit (vQPU), we fix the onboard control latency to a flat-line constant time of $0.458\,\text{ms}$ ($O(1)$), bypassing the classical linear latency growth ($O(N)$) associated with increasing map nodes. Furthermore, utilizing evanescent wave coupling, we achieve a constant wireless power transfer efficiency of 92.5\% without free-space path loss over distance. Based on physical twin audit benchmarks aligned with independent technical specifications, we demonstrate a 37.5\% reduction in mechanical traction power and establish a 0.00\% hacking risk profile utilizing a first-of-its-kind stateless, keyless information reconstruction mechanism.</p>