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The experimental realization of increasingly complex synthetic quantum systems calls for the development of general theoretical methods, to validate and fully exploit quantum resources.
Relationship between d-dimensional quantal spin systems and (d+1)-dimensional ising systemsequivalence, critical exponents and systematic approximants of the partition function and spin correlations
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Exact Machine Learning Topological States
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Efficient tomography of a quantum many-body system
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Deep Learning (MIT Press, 2016)
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Deep learning
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Discovering phase transitions with unsupervised learning
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Machine learning quantum phases of matter beyond the fermion sign problem
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Neural network representation of tensor network and chiral states
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