The QETRA Protocol: Pioneering Quantum Eavesdropping Detection with Classical SVM

This study introduces the Quantum Eavesdropping Tamper Recognition Algorithm (QETRA Protocol), a novel method for detecting eavesdropping in quantum key distribu tion (QKD) using a classical Support Vector Machine (SVM). Conducted on IBM Quan tums Brisbane backend, the experiment utilized quantum circuit measurement outcomes to train an SVM model, achieving a recall of 94% and an F1-score of 0.9495. This appears to be the first application of a classical SVM for quantum eavesdropping detection on real quantum hardware, surpassing foundational work by Bennett and Brassard (BB84), Har row et al. (quantum ML), and Shor (quantum algorithms). The QETRA Protocol offers a practical approach to enhance QKD security, pending further validation as a preprint.