Theory of Valley Splitting in Si/SiGe Spin-Qubits: Interplay of Strain, Resonances and Random Alloy Disorder
Abel Thayil, Lasse Ermoneit, Markus Kantner
TL;DR
This study addresses the critical challenge of valley splitting in Si/SiGe spin-qubits by developing a comprehensive envelope-function theory that unifies strain effects, random alloy disorder, and nontrivial inter-valley resonances across neighboring Brillouin zones. The authors derive a multi-valley coupled envelope equation, decompose the intervalley coupling into deterministic and random parts, and show that the valley splitting follows a Rice distribution with parameters set by the deterministic and random contributions. A key finding is that shear strain can unlock a long-period wiggle-well resonance (q = 2k1), yielding a predominantly deterministic enhancement of $E_{VS}$, in contrast to the conventional $2k0$ picture. The framework extends existing theories and provides a computationally efficient tool for optimizing epitaxial profiles to suppress spin-valley hotspots, with implications for robust, scalable Si/SiGe spin qubits.
Abstract
Electron spin-qubits in silicon-germanium (SiGe) heterostructures are a major candidate for the realization of scalable quantum computers. A critical challenge in strained Si/SiGe quantum wells (QWs) is the existence of two nearly degenerate valley states at the conduction band minimum that can lead to leakage of quantum information. To address this issue, various strategies have been explored to enhance the valley splitting (i.e., the energy gap between the two low-energy conduction band minima), such as sharp interfaces, oscillating germanium concentrations in the QW (known as wiggle wells) and shear strain engineering. In this work, we develop a comprehensive envelope-function theory augmented by an empirical nonlocal pseudopotential model to incorporate the effects of alloy disorder, strain, and non-trivial resonances arising from interactions between valley states across neighboring Brillouin zones. We apply our model to analyze common epitaxial profiles studied in the literature with a focus on wiggle well type structures and compare our results with previous work. Our framework provides an efficient tool for quantifying the interplay of these effects on the valley splitting, enabling complex epitaxial profile optimization in future work.
