8 citations · 24 across the 15 of their papers we have counts for
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quant-ph2021★ 2 cited
Quantum Alphatron: quantum advantage for learning with kernels and noise
Siyi Yang, Naixu Guo, Miklos Santha +1
At the interface of machine learning and quantum computing, an important question is what distributions can be learned provably with optimal sample complexities and with quantum-ac…
quant-ph2021★ 7 cited
Nonlinear transformation of complex amplitudes via quantum singular value transformation
Naixu Guo, Kosuke Mitarai, Keisuke Fujii
Due to the linearity of quantum operations, it is not straightforward to implement nonlinear transformations on a quantum computer, making some practical tasks like a neural networ…