4.6 Article

Microwave Engineering of Programmable XXZ Hamiltonians in Arrays of Rydberg Atoms

期刊

PRX QUANTUM
卷 3, 期 2, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PRXQuantum.3.020303

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资金

  1. European Union (EU) [817482]
  2. Agence National de la Recherche (ANR, project RYBOTIN)
  3. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [EXC2181/1-390900948, SFB1225, WE2661/12-1]
  4. Heidelberg Center for Quantum Dynamics
  5. Alexander von Humboldt foundation
  6. Heidelberg University
  7. Ramon y Cajal program [RYC2018-025348-I]
  8. Erasmus+ program of the EU
  9. state of Baden-Wurttemberg through Baden-Wurttemberg high performance computing (bwHPC)
  10. DFG [INST 40/575-1]

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This study utilizes the resonant dipole-dipole interaction between Rydberg atoms and a periodic microwave field to engineer XXZ spin Hamiltonians with tunable anisotropies. The experimental results demonstrate the potential applications of this technique in quantum simulation, quantum information processing, and quantum sensing.
We use the resonant dipole-dipole interaction between Rydberg atoms and a periodic external microwave field to engineer XXZ spin Hamiltonians with tunable anisotropies. The atoms are placed in one-dimensional (1D) and two-dimensional (2D) arrays of optical tweezers. As illustrations, we apply this engineering to two iconic situations in spin physics: the Heisenberg model in square arrays and spin transport in 1D. We first benchmark the Hamiltonian engineering for two atoms and then demonstrate the freezing of the magnetization on an initially magnetized 2D array. Finally, we explore the dynamics of 1D domain-wall systems with both periodic and open boundary conditions. We systematically compare our data with numerical simulations and assess the residual limitations of the technique as well as routes for improvement. The geometrical versatility of the platform, combined with the flexibility of the simulated Hamiltonians, opens up exciting prospects in the fields of quantum simulation, quantum information processing, and quantum sensing.

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