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20102023
most citedComputing quantum discord is NP-complete

288 citations · 1.7k across the 40 of their papers we have counts for

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Showing cond-mat.dis-nnShow all

6 papers · 1 filter

cond-mat.dis-nn2021★ 3 cited

Adding boundary terms to Anderson localized Hamiltonians leads to unbounded growth of entanglement

Yichen Huang

It is well known that in Anderson localized systems, starting from a random product state the entanglement entropy remains bounded at all times. However, we show that adding a sing…

cond-mat.dis-nn2019★ 9 cited

Instability of localization in translation-invariant systems

Yichen Huang, Aram W. Harrow

The phenomenon of localization is usually accompanied with the presence of quenched disorder. To what extent disorder is necessary for localization is a well-known open problem. In…

cond-mat.dis-nn2017★ 70 cited

Neural network representation of tensor network and chiral states

Yichen Huang, Joel E. Moore

We study the representational power of Boltzmann machines (a type of neural network) in quantum many-body systems. We prove that any (local) tensor network state has a (local) neur…

cond-mat.dis-nn2016★ 234 cited

Out-of-time-ordered correlators in many-body localized systems

Yichen Huang, Yong-Liang Zhang, Xie Chen

In many-body localized systems, propagation of information forms a light cone that grows logarithmically with time. However, local changes in energy or other conserved quantities t…

cond-mat.dis-nn2015★ 3 cited

Efficient simulation of many-body localized systems

Yichen Huang

An efficient numerical method is developed using the matrix product formalism for computing the properties at finite energy densities in one-dimensional (1D) many-body localized (M…

cond-mat.dis-nn2014★ 60 cited

Excited-state entanglement and thermal mutual information in random spin chains

Yichen Huang, Joel E. Moore

Entanglement properties of excited eigenstates (or of thermal mixed states) are difficult to study with conventional analytical methods. We approach this problem for random spin ch…