Quantum phases of matter on a 256-atom programmable quantum simulator

By S. Ebadi, Tout T. Wang, H. Levine, A. Keesling, G. Semeghini, Ahmed Omran, D. Bluvstein, R. Samajdar, Hannes Pichler, Wen Wei Ho and 5 more. Nature, 2020

1,156 citations recorded by the source corpus.

Motivated by far-reaching applications ranging from quantum simulations of complex processes in physics and chemistry to quantum information processing1, a broad effort is currently underway to build large-scale programmable quantum systems. Such systems provide insights into strongly correlated quantum matter2–6, while at the same time enabling new methods for computation7–10 and metrology11. Here we demonstrate a programmable quantum simulator based on deterministically prepared two-dimensional arrays of neutral atoms, featuring strong interactions controlled by coherent atomic excitation into Rydberg states12. Using this approach, we realize a quantum spin model with tunable interactions for system sizes ranging from 64 to 256 qubits. We benchmark the system by characterizing high-fidelity antiferromagnetically ordered states and demonstrating quantum critical dynamics consistent with an Ising quantum phase transition in (2 + 1) dimensions13. We then create and study several new quantum phases that arise from the interplay between interactions and coherent laser excitation14, experimentally map the phase diagram and investigate the role of quantum fluctuations. Offering a new lens into the study of complex quantum matter, these observations pave the way for investigations of exotic quantum phases, non-equilibrium entanglement dynamics and hardware-efficient realization of quantum algorithms. A programmable quantum simulator with 256 qubits is created using neutral atoms in two-dimensional optical tweezer arrays, demonstrating a quantum phase transition and revealing new quantum phases of matter.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/8466edf6fcdb2b524b0aec25107963c04f785de5

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In Artificial Intelligence

  1. Shannon Whitlock
  2. M. Morgado
  3. Simon C. Benjamin
  4. Suguru Endo
  5. Ying Li
  6. Jarrod R. McClean
  7. Ryan Babbush
  8. Patrick J. Coles

In Atomic and Molecular Physics, and Optics

  1. Shannon Whitlock
  2. M. Morgado
  3. Suguru Endo
  4. Simon C. Benjamin
  5. Thierry Lahaye
  6. Antoine Browaeys
  7. Ying Li
  8. Jarrod R. McClean

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