Robust and Deterministic Preparation of Bosonic Logical States in a Trapped Ion
ORAL
Abstract
Scalable quantum information processing will rely on fault-tolerant quantum error correction, where one typically encodes a logical qubit in many physical qubits. However, the large physical-to-logical qubit ratio is challenging to realize on near-term devices. Alternatively, one can encode a logical qubit in a single physical system, such as the mechanical oscillation of a trapped ion. To this end, one requires high-fidelity protocols to prepare logical qubits in bosonic modes. However, current protocols lack robustness and may be experimentally challenging to implement. Here, we demonstrate the robust, high-fidelity and measurement-free preparation of arbitrary targeted bosonic states in a trapped ion. We numerically optimise the modulation of the control field that drives the qubit-oscillator interaction. Dynamical error suppression is engineered in the control to make the pulses robust to leading sources of error. With this, we demonstrate the robust preparation of a binomial state with up to 4.8x error suppression. We also prepare a square Gottesman-Kitaev-Preskill code with 94.0(8)% logical fidelity, a distance-3 binomial code with an average fidelity of 80.7(7)%, and a 12.91(5) dB squeezed vacuum state.
* The U.S. Office of Naval Research Global, the U.S. Army Research Office Laboratory for Physical Sciences, the U.S. Air Force Office of Scientific Research, the U.S. Intelligence Advanced Research Projects Activity, Lockheed Martin, Sydney Quantum Academy, and the Australian Research Council.
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Publication: arXiv:2310.15546
Presenters
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Vassili Matsos
The University of Sydney
Authors
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Ting Rei Tan
University of Sydney
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Vassili Matsos
The University of Sydney
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Christophe H Valahu
University of Sydney
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Tomas Navickas
The University of Sydney, University of Sydney
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Arjun D Rao
The University of Sydney, University of Sydney
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Maverick J Millican
The University of Sydney, University of Sydney
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Michael J Biercuk
University of Sydney