
Quantum algorithm for structure learning of Markov Random Fields
Markov random fields (MRFs) appear in many problems in machine learning ...
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Robust quantum minimum finding with an application to hypothesis selection
We consider the problem of finding the minimum element in a list of leng...
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Nearterm quantum algorithms for linear systems of equations
Solving linear systems of equations is an essential component in science...
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Quantum and Classical Algorithms for Approximate Submodular Function Minimization
Submodular functions are set functions mapping every subset of some grou...
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Bayesian Deep Learning on a Quantum Computer
Bayesian methods in machine learning, such as Gaussian processes, have g...
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A note on state preparation for quantum machine learning
The intersection between the fields of machine learning and quantum info...
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Patrick Rebentrost
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