Quantum computation with machine-learning-controlled quantum stuff

We formulate the control over quantum matter, so as to perform arbitrary quantum computation, as an optimization problem. We then provide a schematic machine learning algorithm for its solution. Imagine a long strip of 'quantum stuff', endowed with certain assumed physical properties, and...

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Veröffentlicht in:	Machine learning: science and technology 2021-03, Vol.2 (1), p.15008
Hauptverfasser:	Hardy, Lucien, Lewis, Adam G M
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Gates (circuits) Machine learning Optimization Physical properties Quantum computing quantum foundations quantum information theory quantum machine learning quantum tomography
Online-Zugang:	Volltext
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