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Quantum algorithms for learning a hidden graph and beyond
We give quantum algorithms that achieve speedups over the best possible classical algorithms in the OR and parity query models, for some families of graphs, and give quantum algorithms in the graph state model whose complexity is similar to the parity query model.
Quantum algorithms for spectral sums
We propose and analyze new quantum algorithms for estimating the most common spectral sums of symmetric positive definite (SPD) matrices.
Data classification by quantum radial basis function networks
This gives a simple approach to implement the quantum RBF network in the quantum circuits.
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