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Found 3 papers, 1 papers with code
Predicting quantum advantage by quantum walk with convolutional neural networks
Quantum walks on graphs are fundamentally different from classical random walks analogs, in particular, they walk faster than classical ones on certain graphs, enabling in these cases quantum algorithmic applications and quantum-enhanced energy transfer.
Machine learning transfer efficiencies for noisy quantum walks
Quantum effects are known to provide an advantage in particle transfer across networks.
Quantum walk processes in quantum devices
Firstly, we discuss ways to obtain graphs provided quantum circuit.
Quantum Physics
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