CORDIS Project
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This project integrates advanced machine learning and artificial intelligence with quantum physics experiments to enhance data analysis. It focuses on developing a reinforcement learning method to control and stabilize quantum memory in multiple-spin-qubit setups, aiming to improve efficiency in quantum experiments.
This proposal aims to advance the integration of state-of-the-art machine learning and artificial intelligence (AI) with quantum physics experiments.
The abundance of physics data coming from experiments and simulations of quantum systems allows us to use the power and efficiency of machine learning methods to extract information from this data in a way that goes beyond traditional methods.
Based on this insight, I will design and implement a reinforcement learning (RL) method that can directly…
KOBENHAVNS UNIVERSITET
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