A Discrete Error-Prevention Layer in 2D Quantum Computing

As two-dimensional (2D) quantum computing architectures mature, error mitigation remains the dominant bottleneck to scalability. Existing approaches rely heavily on post-hoc error correction schemes that incur substantial computational and energetic overhead. In this work, we propose a complementary paradigm: discrete geometric error prevention via a minimal pre-computational filtering layer. Inspired by the culinary technique of consomm´e, where impurities are absorbed by a minimal protein attractor before refinement, we introduce the GIGL (Geometric Interfacial Grid Logic) snap-to-grid mechanism based on a 4×4 discrete geometric lattice. We argue that such a lattice functions as a low-energy geometric attractor that selectively suppresses unstable quantum phase configurations prior to logical processing. A toy model is presented to demonstrate feasibility, along with complexity and energy efficiency considerations. This framework does not replace quantum error correction but aims to significantly reduce its burden by early-stage interception.