Reconstructing Quantum Dot Charge Stability Diagrams with Diffusion Models
Efficiently characterizing quantum dot (QD) devices is a critical bottleneck when scaling quantum processors based on confined spins. Measuring high-resolution charge stability diagrams (or CSDs, data maps which crucially define the occupation of QDs) is time-consuming, particularly in emerging architectures where CSDs must be acquired with remote sensors that cannot probe the charge of the relevant dots directly. In this work, we present a generative approach to accelerate acquisition by reconstructing full CSDs from sparse measurements, using a conditional diffusion model. We evaluate our approach using two experimentally motivated masking strategies: uniform grid-based sampling, and li...
| Authors | Vinicius Hernandes, Joseph Rogers, Rouven Koch et al. |
|---|---|
| Primary category | quant-ph |
| Published | 27 March 2026 |
| Last updated at source | 27 March 2026 |
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