MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641123759 A) filed by Vellore Institute Of Technology on October 15, 2026, for Quantum-Assisted Graph-Tensor System For Biomarker Discovery From Gene Expression Data.
Inventors include Smprabin; Divy Kumar Agrawal; Udbhav Ojas; and Joice J.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: ABSTRACT QUANTUM-ASSISTED GRAPH-TENSOR SYSTEM FOR BIOMARKER DISCOVERY FROM GENE EXPRESSION DATA A system (100) for biomarker discovery from gene expression data includes one or more processors (102) and a memory (104) storing instructions (106). The instructions (106) cause the one or more processors (102) to receive a gene expression matrix input (108) representing a plurality of samples across a plurality of gene-feature dimensions, to encode the gene expression matrix into a quantum-representable form, to construct a Hamiltonian, and to optimize parameters of a variational quantum circuit associated with the Hamiltonian to identify a subset of candidate biomarkers provided as an output (124). Hamiltonian decomposition instructions (114) decompose the Hamiltonian into a plurality of block-diagonal sub-Hamiltonians and a residual coupling matrix, each block-diagonal sub-Hamiltonian operating on a disjoint qubit subspace. Variational optimization instructions (116) optimize the parameters separately for each block-diagonal sub-Hamiltonian. A norm of the residual coupling matrix is maintained at or below a predefined approximation threshold. (Fig. 1)
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