2026-09-18T20:14:33Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1394642022-01-15T03:55:13Zcom_1721.1_7582com_1721.1_7581col_1721.1_131024
Chuang, Isaac L.
Qi, Luke
Massachusetts Institute of Technology. Department of Physics
2022-01-14T15:12:57Z
2022-01-14T15:12:57Z
2021-06
2021-06-21T21:08:36.669Z
https://hdl.handle.net/1721.1/139464
Trapped ions are a promising candidate for quantum computation. As experiments with ions increase in size and complexity, a trap array-based architecture for an ion trap with many independent zones provides a path towards large-scale integration. A crucial element in the operation of a trap array is the ability to split, move and recombine chains of ions on diabatic timescales and without incurring excessive decoherence of information stored in ion qubits. In this thesis, I investigate whether ion transport and splitting can be realistically integrated in the future quantum processor and what the requirements are to achieve this.
I discuss my end-to-end numerical simulation pipeline of the ion shuttling process. Using these simulation tools, I investigate the leading theories for ion transport and splitting, based on Shortcuts-to-Adiabaticity principles, and extend these methods into two central criteria for optimal ion shuttling. I present a novel method for optimizing the voltage controls to achieve optimal ion shuttling, that use accurate models of the digital-to-analog converters, amplifiers, and low-pass filters of our ion trapping system.
I demonstrate fast and robust transport of 40Ca on our custom-designed surface electrode trap and share spectroscopy data taken during the first ever attempt at optimal splitting. I then outline the necessary steps to achieve fast splitting with less than 1 quanta of excitation. It is my hope that the theories, software, and experimental results presented in this thesis demonstrate the feasibility of optimal ion transport and splitting in state-of-the-art, scalabale surface traps and become a standard for future ion shuttling experiments.
S.B.
Massachusetts Institute of Technology
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Optimizing Ion-Shuttling Operations in Trapped-Ion Quantum Computers
Thesis
application/pdf
Bachelor
Bachelor of Science in Physics
Publication
unknown
unknown
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<Abstract>Trapped ions are a promising candidate for quantum computation. As experiments with ions increase in size and complexity, a trap array-based architecture for an ion trap with many independent zones provides a path towards large-scale integration. A crucial element in the operation of a trap array is the ability to split, move and recombine chains of ions on diabatic timescales and without incurring excessive decoherence of information stored in ion qubits. In this thesis, I investigate whether ion transport and splitting can be realistically integrated in the future quantum processor and what the requirements are to achieve this.
I discuss my end-to-end numerical simulation pipeline of the ion shuttling process. Using these simulation tools, I investigate the leading theories for ion transport and splitting, based on Shortcuts-to-Adiabaticity principles, and extend these methods into two central criteria for optimal ion shuttling. I present a novel method for optimizing the voltage controls to achieve optimal ion shuttling, that use accurate models of the digital-to-analog converters, amplifiers, and low-pass filters of our ion trapping system.
I demonstrate fast and robust transport of 40Ca on our custom-designed surface electrode trap and share spectroscopy data taken during the first ever attempt at optimal splitting. I then outline the necessary steps to achieve fast splitting with less than 1 quanta of excitation. It is my hope that the theories, software, and experimental results presented in this thesis demonstrate the feasibility of optimal ion transport and splitting in state-of-the-art, scalabale surface traps and become a standard for future ion shuttling experiments.</Abstract>
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