Probing many-body dynamics on a 51-atom quantum simulator

Hannes Bernien, Sylvain Schwartz, Alexander Keesling, Harry Levine, Ahmed Omran, Hannes Pichler, Soonwon Choi, Alexander S. Zibrov, Manuel Endres, Markus Greiner (), Vladan Vuletić () and Mikhail D. Lukin ()
Additional contact information
Hannes Bernien: Harvard University
Sylvain Schwartz: Harvard University
Alexander Keesling: Harvard University
Harry Levine: Harvard University
Ahmed Omran: Harvard University
Hannes Pichler: Harvard University
Soonwon Choi: Harvard University
Alexander S. Zibrov: Harvard University
Manuel Endres: Mathematics and Astronomy, California Institute of Technology
Markus Greiner: Harvard University
Vladan Vuletić: Massachusetts Institute of Technology
Mikhail D. Lukin: Harvard University

Nature, 2017, vol. 551, issue 7682, 579-584

Abstract: Abstract Controllable, coherent many-body systems can provide insights into the fundamental properties of quantum matter, enable the realization of new quantum phases and could ultimately lead to computational systems that outperform existing computers based on classical approaches. Here we demonstrate a method for creating controlled many-body quantum matter that combines deterministically prepared, reconfigurable arrays of individually trapped cold atoms with strong, coherent interactions enabled by excitation to Rydberg states. We realize a programmable Ising-type quantum spin model with tunable interactions and system sizes of up to 51 qubits. Within this model, we observe phase transitions into spatially ordered states that break various discrete symmetries, verify the high-fidelity preparation of these states and investigate the dynamics across the phase transition in large arrays of atoms. In particular, we observe robust many-body dynamics corresponding to persistent oscillations of the order after a rapid quantum quench that results from a sudden transition across the phase boundary. Our method provides a way of exploring many-body phenomena on a programmable quantum simulator and could enable realizations of new quantum algorithms.

Date: 2017
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DOI: 10.1038/nature24622

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