Speaker
Description
One approach for developing a quantum computer is a controllable array of electrodes (QCCD) on a microchip, capable of transporting trapped ions between different zones. To make the array 2-dimensional, junctions between linear zones need to be integrated, additionally allowing all-to-all connectivity. It is important for transport operations to be diabatic (fast and with low motional excitation) to increase the clock speed and improve coherent quantum operations.
Since the performance of diabatic transport depends on both the electrode design [1] and the sequence of electric potentials [2] realised by a voltage waveform, we have explored finding an optimal junction design by numerically simulating ion trajectories for a large number of candidate designs. In our work, the designs span a Pareto front [3], and the waveform is obtaining by applying machine learning techniques to implement multidimensional optimal control [4].
References:
[1] C. Zhang et al., New J. Phys. 24, 073030 (2022)
[2] W. Burton et al., Phys. Rev. Lett, 130, 173202 (2023)
[3] M. Siegele‐Brown, PhD Thesis, University of Sussex (2024)
[4] M. Orozco-Ruiz, et al., Phys. Rev. A, 108, 022601 (2023)
| Academic level | PhD student |
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