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QI: Fachverband Quanteninformation
QI 3: Semiconductor Spin Qubits I: Silicon
QI 3.2: Vortrag
Montag, 10. März 2025, 11:30–11:45, HS II
Long distance spin shuttling enabled by few-parameter velocity optimization — •Alessandro David1, Akshay Menon Pazhedath1,2, Lars R. Schreiber3,4, Tommaso Calarco1,2,5, Hendrik Bluhm3,4, and Felix Motzoi1,2 — 1PGI-8, Forschungszentrum Jülich, Germany — 2Theoretical Physics, University of Cologne, Germany — 3JARA-FIT Forschungszentrum Jülich and RWTH Aachen, Germany — 4ARQUE Systems GmbH, Germany — 5Università di Bologna, Italy
Spin qubit shuttling via moving conveyor-mode quantum dots in Si/SiGe offers a promising route to scalable miniaturized quantum computing. Recent modeling of dephasing via valley degree of freedom and well disorder dictate a slow shutting speed which seems to limit errors to above correction thresholds if not mitigated. We increase the precision of this prediction, showing that typical errors for 10 μm shuttling at constant speed results in O(1) error, using fast, automatically differentiable numerics and including improved disorder modeling and potential noise ranges. However, remarkably, we show that these errors can be brought to well below fault-tolerant thresholds using trajectory shaping with very simple parametrization with as few as 4 Fourier components, well within the means for experimental in-situ realization, and without the need for targetting or knowing the location of valley near degeneracies.
Keywords: spin transport; scalability; quantum optimal control; spin shuttling; valley in silicon