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Disorder-assisted quantum transport in suboptimal decoherence regimes
Leonardo Novo, Masoud Mohseni, Yasser Omar
We investigate quantum transport in binary tree structures and in hypercubes for the disordered Frenkel-exciton Hamiltonian under pure dephasing noise. We compute the energy transp…
Quantum support vector machine for big data classification
Patrick Rebentrost, Masoud Mohseni, Seth Lloyd
Supervised machine learning is the classification of new data based on already classified training examples. In this work, we show that the support vector machine, an optimized bin…
Quantum algorithms for supervised and unsupervised machine learning
Seth Lloyd, Masoud Mohseni, Patrick Rebentrost
Machine-learning tasks frequently involve problems of manipulating and classifying large numbers of vectors in high-dimensional spaces. Classical algorithms for solving such proble…
Quantum principal component analysis
Seth Lloyd, Masoud Mohseni, Patrick Rebentrost
The usual way to reveal properties of an unknown quantum state, given many copies of a system in that state, is to perform measurements of different observables and to analyze the…