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About

The ever-increasing degree of control over trapped atomic ions has kept them at the forefront of quantum computation and quantum simulation. Yet, the flexibility of the trapped ion platform has not been fully utilized to address the intersection between quantum devices and their environments. At this intersection are practical questions regarding the limits that noise places on future quantum technologies alongside the fundamental theories of open quantum systems which are featured in quantum information science, quantum thermodynamics, quantum biology, and cosmology. Our research focuses on adapting and expanding the well-understood control of trapped ion qubits to subject them to versatile, tailored environments and using this platform to test the robustness of state-of-the-art experimental quantum algorithms, the efficacy of quantum error correction and mitigation techniques, and fundamental theories of quantum thermodynamics.

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Research Publications

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News

  • Neon pink and blue lines randomly connect spheres containing arrows. The spheres are organized in three horizontal rows and additional lines extend off the edges of the image.

    Researchers Explore How Quantum Computers—and Their Errors—May Enhance AI

    July 22, 2026

    Researchers at JQI and their collaborators explored how the probabilistic randomness of quantum computers, and their errors, may be beneficial to some AI models that are run on a quantum computer. By injecting various amounts of noise and quantum randomness during the operation of a basic AI model, the team determined that adding just the right amount improved its performance.

  • A small white device is connected to two wires in a metal chamber. It is visible through a circular port hole.

    Quantum Computers Tackle Simulating Quarks

    December 11, 2025

    A collaboration including JQI researchers has developed a new quantum computing approach that brings science closer to simulating the early universe.

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    New JQI Fellow Wants to Build an Error-Creating Quantum Computer

    March 4, 2025

    In her new lab, Alaina Green is making a quantum computer that is better at intentionally creating quantum errors that can be systematically studied.

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