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Found 2 papers, 1 papers with code
Fidelity-based Probabilistic Q-learning for Control of Quantum Systems
In this paper, a fidelity-based probabilistic Q-learning (FPQL) approach is presented to naturally solve this problem and applied for learning control of quantum systems.
Quantum reinforcement learning
The state (action) set can be represented with a quantum superposition state and the eigen state (eigen action) can be obtained by randomly observing the simulated quantum state according to the collapse postulate of quantum measurement.
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