6 Algorithmic exploration of unveiling fault tolerance in quantum machine learning
Abstract
Rapid progress in quantum computing and machine learning has unlocked new possibilities for addressing complex issues. However, fault tolerance difficulties frequently impede the practical implementation of quantum ML (QML) algorithms. Algorithmic exploration of unveiling fault tolerance in QML aims to find and create fault-tolerant algorithms specifically suited to QML use cases. The techniques are designed to reduce the impact of quantum errors, making QML models more stable and trustworthy. An increase in fault tolerance has been observed in preliminary tests, with no adverse effects on QML’s computing ...
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