activity
20192023
most citedTensorNetwork: A Library for Physics and Machine Learning

70 citations · 194 across the 5 of their papers we have counts for

collaborators

7 papers

hep-th2023★ 4 cited

Petz recovery from subsystems in conformal field theory

Shreya Vardhan, Annie Y. Wei, Yijian Zou

We probe the multipartite entanglement structure of the vacuum state of a CFT in 1+1 dimensions, using recovery operations that attempt to reconstruct the density matrix in some re…

quant-ph2023★ 44 cited

Channeling quantum criticality

Yijian Zou, Shengqi Sang, Timothy H. Hsieh

We analyze the effect of decoherence, modelled by local quantum channels, on quantum critical states and we find universal properties of the resulting mixed state's entanglement, b…

quant-ph2020★ 68 cited

Universal tripartite entanglement in one-dimensional many-body systems

Yijian Zou, Karthik Siva, Tomohiro Soejima +2

Motivated by conjectures in holography relating the entanglement of purification and reflected entropy to the entanglement wedge cross-section, we introduce two related non-negativ…

cond-mat.stat-mech2019

Emergence of conformal symmetry in quantum spin chains: anti-periodic boundary conditions and supersymmetry

Yijian Zou, Guifre Vidal

Universal properties of a critical quantum spin chain are encoded in the underlying conformal field theory (CFT). This underlying CFT is fully characterized by its conformal data.…

cond-mat.str-el2019★ 8 cited

Magic entanglement renormalization for quantum fields

Yijian Zou, Martin Ganahl, Guifre Vidal

Continuous tensor networks are variational wavefunctions proposed in recent years to efficiently simulate quantum field theories (QFTs). Prominent examples include the continuous m…

physics.comp-ph2019★ 70 cited

TensorNetwork: A Library for Physics and Machine Learning

Chase Roberts, Ashley Milsted, Martin Ganahl +6

TensorNetwork is an open source library for implementing tensor network algorithms. Tensor networks are sparse data structures originally designed for simulating quantum many-body…