Error mitigation using quantum neural Q network in secure qutrit distribution on Cleve's protocol on quantum computing

This article explores the critical aspect of error mitigation within quantum systems, particularly its significance in enabling secure qutrit distribution via Cleve's protocol. Initially, it investigates quantum secret sharing utilizing a (k, n) threshold scheme, demonstrating its cryptographic robustness in securely disseminating secrets among multiple parties. Subsequently, a comprehensive analysis is conducted to elucidate the nuanced impact of bit-flip, phase-flip, and depolarization errors on quantum data integrity, highlighting the necessity for tailored error mitigation strategies. Within the context of a Quantum Neural Q Network (QNQN), error correction techniques are applied to classification outcomes, showcasing their efficacy in rectifying states uniformly despite initial errors. This underscores the critical importance of error mitigation in preserving data accuracy and integrity in quantum computations and secure qutrit distribution methodologies, particularly within the framework of Cleve's protocol.