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Research PaperResearchia:202607.13019

Silicon-Germanium Heterostructures with Enhanced Valley Splitting for Spin Qubits

David W. Kanaar

Abstract

Achieving valley splittings well in excess of the thermal energy of electrons and avoiding valley excitations is essential for the consistent initialization, operation and readout of gate-defined Si spin qubits. In this work, we present a device-level optimization strategy for pushing valley splittings to between 1 and 5 meV, well beyond values reported in nearly all previous theoretical studies. Using device-scale simulations that incorporate atomistic alloy disorder through a 1D tight-binding ...

Submitted: July 13, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

Achieving valley splittings well in excess of the thermal energy of electrons and avoiding valley excitations is essential for the consistent initialization, operation and readout of gate-defined Si spin qubits. In this work, we present a device-level optimization strategy for pushing valley splittings to between 1 and 5 meV, well beyond values reported in nearly all previous theoretical studies. Using device-scale simulations that incorporate atomistic alloy disorder through a 1D tight-binding theory, we demonstrate that our proposed approach yields large valley splittings with a tight distribution across disorder realizations, a key requirement for reproducible qubit performance at scale. The approach rests on an unorthodox Si/SiGe heterostructure design combining a narrow quantum well, a small Ge spike, and a pure-Ge cap. We corroborate these predictions with targeted atomistic density functional theory calculations. These results offer a clear path forward for scalable Si/SiGe spin qubit devices and, if realized experimentally, effectively eliminate valley splitting as an existential problem for large scale SiGe-based quantum processors.


Source: arXiv:2607.09652v1 - http://arxiv.org/abs/2607.09652v1 PDF: https://arxiv.org/pdf/2607.09652v1 Original Link: http://arxiv.org/abs/2607.09652v1

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Date:
Jul 13, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
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