32,765 research outputs found
Ground states of unfrustrated spin Hamiltonians satisfy an area law
We show that ground states of unfrustrated quantum spin-1/2 systems on
general lattices satisfy an entanglement area law, provided that the
Hamiltonian can be decomposed into nearest-neighbor interaction terms which
have entangled excited states. The ground state manifold can be efficiently
described as the image of a low-dimensional subspace of low Schmidt measure,
under an efficiently contractible tree-tensor network. This structure gives
rise to the possibility of efficiently simulating the complete ground space
(which is in general degenerate). We briefly discuss "non-generic" cases,
including highly degenerate interactions with product eigenbases, using a
relationship to percolation theory. We finally assess the possibility of using
such tree tensor networks to simulate almost frustration-free spin models.Comment: 14 pages, 4 figures, small corrections, added a referenc
On Invariance and Selectivity in Representation Learning
We discuss data representation which can be learned automatically from data,
are invariant to transformations, and at the same time selective, in the sense
that two points have the same representation only if they are one the
transformation of the other. The mathematical results here sharpen some of the
key claims of i-theory -- a recent theory of feedforward processing in sensory
cortex
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