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Deep Reinforcement Learning for Quantum State Preparation with Weak Nonlinear Measurements.
Riccardo Porotti
Antoine Essig
Benjamin Huard
Florian Marquardt
Published in:
Quantum (2022)
Keyphrases
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reinforcement learning
state space
markov decision processes
neural network
machine learning
learning algorithm
markov chain
learning problems
real time
multi agent
multi agent systems
optimal policy
function approximation
deep learning
nonlinear equations
quantum computation