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Found 3 papers, 1 papers with code
A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity
In this study, we concentrate on quantum deep learning and introduce a collaborative classical-quantum architecture called co-TenQu.
A Synergistic Compilation Workflow for Tackling Crosstalk in Quantum Machines
Evaluations through simulation and on real IBM-Q devices show that our framework can significantly reduce the error rate by up to 6$\times$, with only $\sim$60\% circuit depth compared to state-of-the-art gate scheduling approaches.
GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm
To close the accuracy gap, in this paper we propose to add a complementary activation function (AF) ahead of the sign based binarization, and rely on the genetic algorithm (GA) to automatically search for the ideal AFs.
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