Robotic chip-scale nanofabrication for superior consistency
arXiv:2511.19432 · doi:10.1063/5.0313577
Abstract
Unlike the rigid, high-volume automation found in industry, academic research requires process flexibility that has historically relied on variable manual operations. This hinders the fabrication of advanced, complex devices. We propose to address this gap by automating these low-volume, high-stakes tasks using a robotic arm to improve process control and consistency. As a proof of concept, we deploy this system for the resist development of Josephson junction devices. A statistical comparison of the process repeatability shows the robotic process achieves a resistance spread across chips close to 2%, a significant improvement over the ~7% spread observed from human operators, validating robotics as a solution to eliminate operator-dependent variability and a path towards industrial-level consistency in a research setting.
5 pages, 3 figures
References in corpus (9)
- Charge insensitive qubit design derived from the Cooper pair box
- A Quantum Engineer's Guide to Superconducting Qubits
- Quantum error correction below the surface code threshold
- Improving wafer-scale Josephson junction resistance variation in superconducting quantum coherent circuits
- Roadmap on quantum nanotechnologies
- Roadmap for gallium arsenide spin qubits
- Hardware-efficient quantum error correction via concatenated bosonic qubits
- Fabrication of stable and reproducible sub-micron tunnel junctions
- Wafer-scale uniformity of Dolan-bridge and bridgeless Manhattan-style Josephson junctions for superconducting quantum processors