Explainable Classification Techniques for Quantum Dot Device Measurements

arXiv:2402.13699v1 Announce Type: cross
Abstract: In the physical sciences, there is an increased need for robust feature representations of image data: image acquisition, in the generalized sense of two-dimensional data, is now widespread across a large number of fields, including quantum information science, which we consider here. While traditional image features are widely utilized in such cases, their use is rapidly being supplanted by Neural Network-based techniques that often sacrifice explainability in exchange for high accuracy. To ameliorate this trade-off, …

abstract acquisition arxiv classification cond-mat.mes-hall cs.cv cs.lg data feature features fields generalized image image data information quantum robust science sense type