Physical Review Research (Dec 2023)

Variational generation of spin squeezing on one-dimensional quantum devices with nearest-neighbor interactions

  • Zheng-Hang Sun,
  • Yong-Yi Wang,
  • Yu-Ran Zhang,
  • Franco Nori,
  • Heng Fan

DOI
https://doi.org/10.1103/PhysRevResearch.5.043285
Journal volume & issue
Vol. 5, no. 4
p. 043285

Abstract

Read online Read online

Efficient preparation of spin-squeezed states is important for quantum-enhanced metrology. Current protocols for generating strong spin squeezing rely on either high dimensionality or long-range interactions. A key challenge is how to generate considerable spin squeezing in one-dimensional systems with only nearest-neighbor interactions. Here, we develop variational spin-squeezing algorithms to solve this problem. We consider both digital and analog quantum circuits for these variational algorithms. After the closed optimization loop of the variational spin-squeezing algorithms, the generated squeezing can be comparable to the strongest squeezing created from two-axis twisting. By analyzing the experimental imperfections, the variational spin-squeezing algorithms proposed in this paper are feasible in recently developed noisy intermediate-scale quantum computers.