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Autonomous Machine Learning Simplifies Quantum Systems

Researchers in the UK have developed an autonomous machine learning algorithm that dramatically simplifies quantum systems. Researchers at the University of Bristol’s Quantum Engineering Technology Labs (QETLabs) developed a new protocol to formulate and validate approximate models for quantum systems of interest. The Quantum Model Learning Agent (QMLA) algorithm works autonomously, designing and performing experiments on the targeted quantum system, with the resultant data being fed

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