Artificial Intelligence and Quantum Computing in Criminal Justice Systems: A Communication Engineering Perspective
Abstract
Modern communication systems face unprecedented challenges in ensuring secure data transmission and real-time processing across distributed networks. The convergence of artificial intelligence (AI) and quantum computing (QC) fundamentally transforms communication engineering by introducing both enhanced capabilities for intelligent network management and critical threats to cryptographic security protocols that underpin global communications. These challenges are particularly acute in high-security domains such as criminal justice systems, where communication infrastructure must balance stringent security requirements with evidentiary reliability. The administration of criminal justice has historically relied on the epistemological reliability of evidence and the ontological security of information. However, the legal profession currently faces a radical discontinuity driven by the simultaneous maturation of Generative Artificial Intelligence (AI) and the accelerating development of Quantum Computing (QC). Generative AI has introduced a regime of "probabilistic truth," leading to the proliferation of hallucinated legal texts and synthetic media that threaten evidentiary standards. Parallel to this, the looming reality of QC poses a fundamental threat to the cryptographic locks securing sensitive criminal justice data, notably through strategies that target current encrypted data for future decryption. As the integration of these advanced technologies becomes an irreversible…
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