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The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning
A key issue is how to address the inherent non-linearity of classical deep learning, a problem in the quantum domain due to the fact that the composition of an arbitrary number of quantum gates, consisting of a series of sequential unitary transformations, is intrinsically linear.
Computing Graph Edit Distance with Algorithms on Quantum Devices
Distance measures provide the foundation for many popular algorithms in Machine Learning and Pattern Recognition.
Can single photon excitation of two spatially separated modes lead to a violation of Bell inequality via homodyne measurements?
We show that it is the varying strength of the local oscillators, from setting to setting, which is the crucial feature enabling violation of local realism in the Hardy setup, whereas it is not necessary to use initial superposition of a single photon excitation with vacuum as the initial state of the input mode.
Quantum Physics
