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Classical Quantum Optimization with Neural Network Quantum States
The classical simulation of quantum systems typically requires exponential resources.
Disordered Systems and Neural Networks Strongly Correlated Electrons Quantum Physics
Automated quantum programming via reinforcement learning for combinatorial optimization
Relative to a set of randomly generated problem instances, agents trained through reinforcement learning techniques are capable of producing short quantum programs which generate high quality solutions on both types of quantum resources.
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