MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202611099067 A) filed by Dr. Anil Kumar Menaria; Prof. Ajender Kumar Malik; Dr Ajay Soni; Dr. Naresh Menaria; Mrs. Baskari. S; Dr. Nisha Tanwar; Dr. Reenu Batra; and Dr. R. Niruban on August 17, 2026, for Quantum Computing Based Method For Solving Large Scale Linear Algebra Problems.
Inventors include Dr. Anil Kumar Menaria; Prof. Ajender Kumar Malik; Dr Ajay Soni; Dr. Naresh Menaria; Mrs. Baskari. S; Dr. Nisha Tanwar; Dr. Reenu Batra; and Dr. R. Niruban.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: The present invention relates to the development of a quantum computing-based approach and system for performing large-scale linear algebra computations with improved computational efficiency, scalability, and accuracy. The method includes an input data acquisition unit, a matrix analysis unit, a preprocessing unit, a quantum state preparation unit, an adaptive quantum circuit synthesis unit, a quantum algorithm execution unit, a quantum error mitigation unit, a quantum measurement unit, a classical refinement unit, and a solution synthesis unit. At first, a coefficient matrix and associated vector are analyzed for properties like sparsity and condition number. The matrix is then mapped to quantum states, which leads to the creation of a quantum circuit that implements algorithms such as HHL, VQLS, QSVT, and QPE. Error mitigation and classical refinement improve accuracy before achieving the final solution. This invention allows efficient large-scale linear algebra computations useful in AI, scientific computation, engineering, finance, cryptography, and high-performance computing. FIG.1
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