MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641051565 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on April 22, for 'computational system for curvature-weighted topological syndrome decoding using graph renormalization.'
Inventor(s) include Vijayashree J; Divy Kumar Agrawal; Raghav Tibrewal; and Dr Jayashree J.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a computational system for topological syndrome decoding in quantum error correction. The system receives a binary syndrome vector and constructs a complete weighted graph representing defect relationships. A topological consistency transformation module computes curvature values for graph edges based on neighbourhood transport distances and generates curvature-adjusted edge weights. A graph renormalization module performs hierarchical clustering and contraction to produce a reduced graph representation with inter-cluster edge weights derived from minimum cross-cluster connections. A hierarchical matching module performs minimum-weight perfect matching on a contracted graph and propagates matching results across successive levels. A probabilistic stability reweighting module iteratively refines edge weights using a constrained gradient-based estimation process with convergence criteria. The system operates within a classical computational framework to transform syndrome graph structures and generate correction mappings."
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