ParaQuanNet distinguishes eight quantum generative circuits via 99.5% accurate classification of their output data using parallel quantum embeddings and mutually unbiased measurements.
Paris, and Abolfazl Bayat
2 Pith papers cite this work. Polarity classification is still indexing.
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Discrete time crystal phase transition in a periodically modulated Lipkin-Meshkov-Glick model enables quantum-enhanced sensing of field strength via criticality-enhanced quantum Fisher information.
citing papers explorer
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Identification of quantum generative circuits with parallel quantum neural network
ParaQuanNet distinguishes eight quantum generative circuits via 99.5% accurate classification of their output data using parallel quantum embeddings and mutually unbiased measurements.
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Quantum sensing with discrete time crystals in the Lipkin-Meshkov-Glick Model
Discrete time crystal phase transition in a periodically modulated Lipkin-Meshkov-Glick model enables quantum-enhanced sensing of field strength via criticality-enhanced quantum Fisher information.