QDNA-ID Quantum Device Native Authentication

TL;DR

QDNA-ID establishes a trust-chain for quantum devices by generating device-specific entropy profiles, verifying quantum correlations, and securely storing authenticated records for long-term integrity and monitoring.

Contribution

It introduces a novel framework linking quantum device behavior to digitally verified records using entropy profiles and quantum tests, enabling trust and auditability.

Findings

Successful generation of device-specific entropy fingerprints

Verification of genuine quantum correlations via Bell/CHSH tests

Implementation of a machine learning system for anomaly detection

Abstract

QDNA-ID is a trust-chain framework that links physical quantum behavior to digitally verified records. The system first executes standard quantum circuits with random shot patterns across different devices to generate entropy profiles and measurement data that reveal device-specific behavior. A Bell or CHSH test is then used to confirm that correlations originate from genuine non classical processes rather than classical simulation. The verified outcomes are converted into statistical fingerprints using entropy, divergence, and bias features to characterize each device. These features and metadata for device, session, and random seed parameters are digitally signed and time stamped to ensure integrity and traceability. Authenticated artifacts are stored in a hierarchical index for reproducible retrieval and long term auditing. A visualization and analytics interface monitors drift, policy enforcement, and device behavior logs. A machine learning engine tracks entropy drift, detects anomalies, and classifies devices based on evolving patterns. An external verification API supports independent recomputation of hashes, signatures, and CHSH evidence. QDNA-ID operates as a continuous feedback loop that maintains a persistent chain of trust for quantum computing environments.