Bounds on Atomistic Disorder for Scalable Electron Shuttling
ORAL
Abstract
Electron shuttling, the gate-controlled, coherent transport of electrons between qubit registers, increases qubit connectivity and enables novel and efficient error-correction schemes. It is thus emerging as a key enabler of scalable silicon spin-qubit quantum computing. As an electron travels over microns, it samples angstrom-scale disorder (notably random alloying and interface roughness), causing fluctuations in its confinement potential, valley splitting, and valley phase. These lead to leakage into the valley-excited state and limit high-fidelity shuttling speeds. Reliable predictions of shuttling fidelities thus require multiscale simulations linking atomistic and mesoscopic physics.
We develop a QTCAD®-based workflow to quantify these effects in the Si/SiGe quantum bus (QuBus) conveyor-belt architecture by combining finite-element electrostatics, atomistic tight-binding, and time-dependent Schrödinger simulations. We find that shuttling fidelities are strongly suppressed by interface roughness, with a sharp anomaly near the atomic-layer scale, thereby setting quantitative guidelines to realize scalable shuttling.
We develop a QTCAD®-based workflow to quantify these effects in the Si/SiGe quantum bus (QuBus) conveyor-belt architecture by combining finite-element electrostatics, atomistic tight-binding, and time-dependent Schrödinger simulations. We find that shuttling fidelities are strongly suppressed by interface roughness, with a sharp anomaly near the atomic-layer scale, thereby setting quantitative guidelines to realize scalable shuttling.
*The authors gratefully acknowledge financial support from the QSP 015 project within the "Internet of Things: Quantum Sensors Challenge" Program (QSP) of the National Research Council (NRC) of Canada.
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Publication: R. J. Prentki, P. Philippopoulos, M. R. Mostaan, and F. Beaudoin, "Bounds on Atomistic Disorder for Scalable Electron Shuttling," arXiv:2510.03113, https://doi.org/10.48550/arXiv.2510.03113
Presenters
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Raphaël J Prentki
- Nanoacademic Technologies Inc.