Protected valley splitting against interface disorder toward scalable silicon electron spin qubits
Yang Liu, Gang Wang, Shan Guan, Jun-Wei Luo, Shu-Shen Li
TL;DR
The paper tackles the problem of small and highly variable valley splitting in Si/SiGe quantum wells caused by atomic-scale interface disorder. It shows that CMOS-compatible uniaxial shear strain can robustly enhance valley splitting and suppress disorder-induced variability by activating a new inter-band coupling channel ($2k_1$) between bulk valleys, in addition to the conventional intra-band channel ($2k_0$). An atomistic pseudopotential framework plus an envelope-function model demonstrates that the inter-BZ coupling becomes dominant under strain and is remarkably resilient to interface steps and alloy disorder. This provides a practical path toward gate uniformity and scalability for silicon-based spin qubits and quantum processors.
Abstract
Regardless of various material design strategies, experimentally achieving substantial and controllable valley splitting in Si/SiGe quantum wells remains a central challenge for ensuring high gate uniformity. This difficulty arises from unavoidable atomic-scale disorder at the interface, caused by alloy randomness, which suppresses valley splitting and, more critically, induces large variations. Here, we demonstrate that CMOS-compatible uniaxial strain can substantially enhance valley splitting, rendering it immune to interface disorder. Atomistic pseudopotential calculations show that uniaxial strain linearly restores the valley splitting suppressed by interfacial disorder, with a large enhancement rate, while keeping disorder-induced variations within a narrow distribution. We reveal that uniaxial strain introduces a new coupling channel between bulk valleys in adjacent Brillouin zones through a small momentum transfer, which markedly reduces the susceptibility of valley splitting to interfacial disorder. These findings establish a viable route to improve gate uniformity in silicon-based spin qubits, paving the way for scalable quantum processors.
