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Smooth input preparation for quantum and quantum-inspired machine learning
Machine learning has recently emerged as a fruitful area for finding potential quantum computational advantage.
Quantum algorithms for training Gaussian Processes
Gaussian processes (GPs) are important models in supervised machine learning.
Quantum assisted Gaussian process regression
We show that even in some cases not ideally suited to the quantum linear systems algorithm, a polynomial increase in efficiency still occurs.
Experimental Demonstration of Blind Quantum Computing
Quantum computers, besides offering substantial computational speedups, are also expected to provide the possibility of preserving the privacy of a computation.
Quantum Physics
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