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Joseph Tindall

20 papers hereh-index 7157 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author4
  • middle author10
  • last author5

Across the 20 of 20 papers where every author was matched, so the position is known.

fields
  • quant-ph17
  • cond-mat.str-el2
  • cond-mat.dis-nn1
same name
  • Joseph Tindall — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedDynamics of disordered quantum systems with two- and three-dimensional tensor networks

7 citations · 17 across the 18 of their papers we have counts for

collaborators
Showing 2024 · quant-phShow all

4 papers · 2 filters

quant-ph2024★ 3 cited

Learning interactions between Rydberg atoms

Olivier Simard, Anna Dawid, Joseph Tindall +3

Quantum simulators have the potential to solve quantum many-body problems that are beyond the reach of classical computers, especially when they feature long-range entanglement. To…

quant-ph2024★ 1 cited

Nonperturbative decay of bipartite discrete time crystals

Lennart Fernandes, Joseph Tindall, Dries Sels

We study prethermal time-crystalline order in periodically driven quantum Ising models on disorder-free decorated lattices. Using a tensor network ansatz for the state which reflec…

quant-ph2024★ 2 cited

Compressing multivariate functions with tree tensor networks

Joseph Tindall, E. Miles Stoudenmire, Ryan Levy

Tensor networks are a compressed format for multi-dimensional data. One dimensional tensor networks -- often referred to as tensor trains (TT) or matrix product states (MPS) -- are…

quant-ph2024

Confinement in the Transverse Field Ising model on the Heavy Hex lattice

Joseph Tindall, Dries Sels

We study the emergence of confinement in the transverse field Ising model on a decorated hexagonal lattice. Using an infinite tensor network state optimised with belief propagation…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.