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The goal of machine learning is to facilitate a computer to execute a specific task without explicit instruction by an external party.
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Efficient representation of quantum many-body states with deep neural networks
Xun Gao and Lu-Ming Duan · 2017
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Generation of the complete four-dimensional bell basis
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Andrzej Cichocki · 2014
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Bell nonlocality
Nicolas Brunner, Daniel Cavalcanti, Stefano Pironio, Valerio Scarani, and Stephanie Wehner · 2014
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Graph-theoretic approach to quantum correlations
Adán Cabello, Simone Severini, and Andreas Winter · 2014
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Contextuality supplies the ’magic’ for quantum computation
Mark Howard, Joel Wallman, Victor Veitch, and Joseph Emerson · 2014
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Nonlocal correlations in the star-network configuration
Armin Tavakoli, Paul Skrzypczyk, Daniel Cavalcanti, and Antonio Acín · 2014
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Detecting nonlocality in many-body quantum states
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Machine-learning approaches in drug discovery: methods and applications
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Learning disordered topological phases by statistical recovery of symmetry
Nobuyuki Yoshioka, Yutaka Akagi, and Hosho Katsura · 2018
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Machine learning spatial geometry from entanglement features
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Neural-network quantum state tomography
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Equivalence of restricted boltzmann machines and tensor network states
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Approximating quantum many-body wave functions using artificial neural networks
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Machine learning detection of bell nonlocality in quantum many-body systems
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Feynman lectures on computation
Richard P Feynman · 2018
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On Graph Approaches to Contextuality and their Role in Quantum Theory
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Quantum advantage from sequential-transformation contextuality
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A simple proof of uniqueness of the kcbs inequality
Kishor Bharti, Atul Singh Arora, Leong Chuan Kwek, and Jérémie Roland · 2018
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State-injection schemes of quantum computation in spekkens’ toy theory
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Quantifying bell nonlocality with the trace distance
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Machine learning technique to find quantum many-body ground states of bosons on a lattice
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Supervised learning with quantum computers
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Active learning machine learns to create new quantum experiments
Alexey A Melnikov, Hendrik Poulsen Nautrup, Mario Krenn, Vedran Dunjko, Markus Tiersch, Anton Zeilinger, and Hans J Briegel · 2018
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Near-term quantum algorithms for linear systems of equations
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Local certification of programmable quantum devices of arbitrary high dimensionality
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