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A Rydberg Programmable Quantum Simulator with 256 Qubits

POSTER

Abstract

The realization of programmable quantum many-body systems capable of coherently controlling hundreds of individual particles is one of the frontiers of quantum science and engineering. Such systems provide unique insights into exotic quantum states of matter and enable new approaches to quantum computation. Our platform at Harvard consists of 2D arrays of laser-cooled neutral atoms trapped in optical tweezers. Using coherent coupling to highly-excited Rydberg states, we realize a quantum spin model with tunable long-range interactions for system sizes up to 256 qubits. With this platform, we have recently realized high-fidelity antiferromagnetically ordered states, mapped out the square-lattice phase diagram, and demonstrated the universal properties of an Ising quantum phase transition in (2+1) dimensions. Separately, we have also observed non-equilibrium quantum many-body scar dynamics after rapid quenches of 2D antiferromagnetically ordered states, and showed that these scars can be stabilized by periodic driving that generates a robust sub-harmonic response akin to discrete time-crystalline order. Ongoing efforts include quantum optimization of graph problems that can be encoded efficiently in our system, and realizing exotic entangled states of matter on frustrated lattices.

Publication: [1] S. Ebadi et al, arXiv:2012.12281 (2020)<br>[2] D. Bluvstein et al, Science 10.1126/science.abg2530 (2021)

Presenters

  • Tout T Wang

    Harvard University

Authors

  • Tout T Wang

    Harvard University

  • Sepehr Ebadi

    Harvard University

  • Harry Levine

    Harvard University

  • Alexander Keesling

    Dept. of Physics, Harvard University, Harvard University

  • Giulia Semeghini

    Harvard University

  • Ahmed Omran

    Harvard University

  • Dolev Bluvstein

    Harvard University

  • Rhine Samajdar

    Harvard University

  • Hannes Pichler

    Caltech, University of Innsbruck

  • Wen Wei Ho

    Harvard University, Stanford University

  • Soonwon Choi

    University of California, Berkeley

  • Alexios Michailidis

    IST Austria, Institute of Science and Technology Austria

  • Nishad Maskara

    Harvard University

  • Maksym Serbyn

    Institute of Science and Technology Austria

  • Subir Sachdev

    Harvard University

  • Markus Greiner

    Harvard University

  • Vladan Vuletic

    Massachusetts Institute of Technology MIT, Massachusetts Institute of Technology

  • Mikhail Lukin

    Harvard University