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Monolithic Blade Ion-Trap for Simulations of Open Quantum Systems

POSTER

Abstract

We report on our progress on a trapped-ion system employing a monolithic blade linear Paul trap, with the capability of addressing individual ions via coherent and dissipative processes. The monolithic blade trap will combine the benefits of the two commonly used types of traps: traditional 3D blade traps and chip traps. These benefits include μm-precision in 3D manufacturing, scalability in the number of control electrodes, flexibility in their configurations for more specialized platforms, ability to trap long ion chains, large trap depths, and low heating rates. A beam array driving stimulated Raman transitions will achieve one- and two-qubit operations. These beams are delivered to the ions with a multi-channel AOM, offering individual control over the frequency, amplitude, and phase of the resulting diffracted beams. This apparatus will enable us to simulate the effects of measurement-based dissipation on the unitary evolution of quantum states [1], electron transfer models [2], and dissipative quantum state engineering.



[1] P. Sierant, et al., Quantum 6, 638 (2022)

[2] V. So, et al., Science Advances

[3] M. Zhu, et al., in preparation

Presenters

  • George Tomaras

    Rice University

Authors

  • George Tomaras

    Rice University

  • Abhishek Menon

    Rice University, Physics and astronomy, Rice University and Smalley-Curl Institute, Houston, TX 77005, USA

  • Roman Zhuravel

    Rice University, Physics and astronomy, Rice University and Smalley-Curl Institute, Houston, TX 77005, USA

  • Visal So

    Rice University, Physics and astronomy, Rice University and Smalley-Curl Institute, Houston, TX 77005, USA

  • Midhuna Duraisamy Suganthi

    Rice University, Physics and astronomy, Rice University, Houston, TX 77005, USA ; Applied Physics Graduate Program, Smalley-Curl Institute, Rice University, Houston, TX 77005, USA

  • Guido Pagano

    Rice University, Physics and astronomy, Rice University and Smalley-Curl Institute, Houston, TX 77005, USA