Engineering Trapped-Ion Systems for Large Scale Quantum Simulation
Invited
Abstract
Laser cooled trapped ions offer unprecedented control over both internal and external degrees of freedom at the single-particle level. They are considered among the foremost candidates for realizing quantum simulation and computation platforms that can outperform classical computers at specific tasks. In this talk I will show how linear arrays of trapped 171Yb+ ions can be used as a versatile platform for studying quantum dynamics of strongly correlated many-body quantum systems.
In particular I will describe how to realize time-crystalline phases in a Floquet setting, where the spin system exhibits persistent time-correlations under many-body-localized dynamics. I will also present our observation of a new type of out-of-equilibrium dynamical phase transition in a spin system with over 50 spins. Moreover I will show our latest efforts towards scaling up the trapped-ion quantum simulator using a cryo-pumped vacuum chamber where we can trap more than 100 ions indefinitely. The reliable production and lifetime of large linear ion chains enabled us to investigate quasi-particle excitations showing confinement in the quench dynamics and the implementation of Quantum Approximate Optimization Algorithms (QAOA) with up to 40 spins.
In particular I will describe how to realize time-crystalline phases in a Floquet setting, where the spin system exhibits persistent time-correlations under many-body-localized dynamics. I will also present our observation of a new type of out-of-equilibrium dynamical phase transition in a spin system with over 50 spins. Moreover I will show our latest efforts towards scaling up the trapped-ion quantum simulator using a cryo-pumped vacuum chamber where we can trap more than 100 ions indefinitely. The reliable production and lifetime of large linear ion chains enabled us to investigate quasi-particle excitations showing confinement in the quench dynamics and the implementation of Quantum Approximate Optimization Algorithms (QAOA) with up to 40 spins.
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Presenters
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Guido Pagano
University of Maryland
Authors
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Guido Pagano
University of Maryland
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Antonis Kyprianidis
University of Maryland
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Harvey B Kaplan
University of Maryland
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Wen Lin Tan
University of Maryland
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Patrick M Becker
University of Maryland
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Kate S Collins
University of Maryland
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Alexey Gorshkov
University of Maryland, JQI-NIST
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Zhexuan Gong
Colorado School of Mines
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Aniruddha Bapat
University of Maryland
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Stephen P Jordan
Microsoft Research
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Jiehang Zhang
University of Maryland
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Paul Hess
Middlebury, Middlebury College
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Christopher Roy Monroe
University of Maryland, Physics, Joint Quantum Institute at the University of Maryland