• Corpus ID: 245837509

Entanglement in the quantum phases of an unfrustrated Rydberg atom array

@inproceedings{ORourke2022EntanglementIT,
  title={Entanglement in the quantum phases of an unfrustrated Rydberg atom array},
  author={Matthew J. O’Rourke and Garnet Kin-Lic Chan},
  year={2022}
}
We report on the ground state phase diagram of interacting Rydberg atoms in the unfrustrated square lattice array. Using new tensor network algorithms, we scale to large systems in two dimensions while including all long-range interactions, revealing the phases in the bulk and their analogs in accessible finite arrays. We find a greatly altered phase diagram from earlier numerical and experimental studies, and in particular, we uncover an emergent entangled quantum nematic phase that appears in… 
1 Citations

Is there evidence for exponential quantum advantage in quantum chemistry?

The idea to use quantum mechanical devices to simulate other quantum systems is commonly ascribed to Feynman. Since the original suggestion, concrete proposals have appeared for simulating molecular

References

SHOWING 1-10 OF 33 REFERENCES

Exponential Sum Approximations for t − β

Given β > 0 and δ > 0, the function t−β may be approximated for t in a compact interval [δ, T] by a sum of terms of the form we−at, with parameters w > 0 and a > 0. One such an approximation, studied

Numerical Optimization

no exception. MRP II and JIT=TQC in purchasing and supplier education are covered in Chapter 15. Without proper education MRP II and JIT=TQC will not be successful and will not generate their true

Physical Review X 9

  • 031041
  • 2019

Physical Review Letters 105

  • 230403
  • 2010

Physical Review X 11

  • 031005
  • 2021

The ITensor Software Library for Tensor Network Calculations

TLDR
The philosophy behind ITensor, a system for programming tensor network calculations with an interface modeled on tensor diagrams, and examples of each part of the interface including Index objects, the ITensor product operator, tensor factorizations, and tensor storage types are discussed.

and s

Annual review of condensed matter physics

In Advances in Neural Information Processing Systems 15

Physical Review Letters 126

  • 170603
  • 2021