Showing 121 - 140 results of 252 for search '"Tensor network"', query time: 2.67s Refine Results
  1. 121
    by Andrei T. Patrascu
    Published 2018-11-01
    ... tensor network. The origin of the mass of light scalars can therefore be associated to entanglement...
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  2. 122
    ...We present an unconstrained tree-tensor-network approach to the study of lattice gauge theories...
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  3. 123
    ...Abstract Tensor network is an attractive approach to the field theory with negative sign problem...
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  4. 124
  5. 125
    by Chih-Yuan Lee, 李致遠
    Published 2019
    ... for KHAF problem, consistent with previous tensor network state study. Secondly, because of the limitation...
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  6. 126
    by Michael Rader, Andreas M. Läuchli
    Published 2018-07-01
    ...It is an open question how well tensor network states in the form of an infinite projected...
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  7. 127
    by Xi Dong, Xiao-Liang Qi, Michael Walter
    Published 2021-06-01
    ... then study these quantities in the random tensor network model and rigorously derive their large bond...
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  8. 128
  9. 129
  10. 130
    by Patrick Janot
    Published 2017-11-01
    ...The tensor network is a quantum state of many-body system constructed by contracting tensors...
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  11. 131
    by Anirban Mukherjee, Siddhartha Lal
    Published 2020-11-01
    ... signatures through their respective tensor network descriptions. For the translationally invariant model of a...
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  12. 132
    by Peach, Alexander Matthew
    Published 2017
    ... of small moduli. We utilise heuristic tensor network methods to construct tensor network models...
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  13. 133
    by Gillman, Edward
    Published 2018
    ...-equilibrium techniques. In this thesis, tensor network techniques are applied to the problem of confirming...
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  14. 134
    by ChunJun Cao, Brad Lackey
    Published 2021-05-01
    ... of holographic tensor networks that are stabilizer codes. For such constructions, different logical states...
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  15. 135
    by Harlow, Daniel L.
    Published 2019
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  16. 136
    ... numerical tests. Tensor network (TN) contraction is an algorithmic method that can efficiently simulate some...
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  17. 137
    ... across the tensor network from UV to IR. The URG is realized as a quantum circuit, leading...
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  18. 138
    by Cao, ChunJun
    Published 2018
    ... in "geometrizing" quantum systems using techniques such as tensor networks and manifold learning. We find...
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  19. 139
    by Xi Dong, Xiao-Liang Qi, Zhou Shangnan, Zhenbin Yang
    Published 2020-10-01
    ... the analog of the effective entropy in random tensor network models, which provides more concrete...
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  20. 140
    by Kawauchi Hikaru, Takeda Shinji
    Published 2018-01-01
    ... is analyzed by tensor network methods. The tensor renormalization group, which is a standard renormalization...
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