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Combinatorial optimization solving by coherent Ising machines based on spiking neural networks
Spiking neural network is a kind of neuromorphic computing that is believed to improve the level of intelligence and provide advantages for quantum computing.
Active Learning Approach to Optimization of Experimental Control
In this work we present a general machine learning based scheme to optimize experimental control.
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