Infosys has patented an enhanced hybrid quantum-classical computing mechanism for optimization problems. The method involves altering configuration chromosomes, generating state vectors, and selecting the most probable configuration chromosomes based on fitness evaluation. The system includes quantum processor units and shared classical memory. GlobalData’s report on Infosys gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Infosys, AI for workflow management was a key innovation area identified from patents. Infosys's grant share as of February 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.
Enhanced hybrid quantum-classical computing mechanism for optimization problems
A recently granted patent (Publication Number: US11907807B2) discloses an enhanced hybrid quantum-classical computing mechanism designed for solving optimization problems. The system comprises at least one quantum processor unit (QPU) connected to a shared classical memory. The QPU is configured to modify a configuration chromosome by storing an angle memory in the shared classical memory, generating a state vector, reinitializing a quantum circuit, and selecting the most probable configuration chromosome based on a fitness function evaluation. The angle memory stores a value of ? for each qubit, limiting the amplitude of qubits in the configuration chromosome to a set of real values. Additionally, a rotation operation is performed to approximate the state of chromosomes to the state of the optimum chromosome, and a new population of chromosomes is generated based on the state vector and modified ? values.
Furthermore, the patent also outlines a method and a computer program product for the enhanced hybrid quantum-classical computing mechanism. The method involves altering the configuration chromosome through a QPU, generating a state vector, reinitializing a quantum circuit, and selecting the most probable configuration chromosome based on fitness function evaluation. The computer program product includes program instructions executable by a processor to perform the same functions as outlined in the method. Overall, the patented technology aims to leverage quantum and classical computing capabilities to efficiently solve optimization problems by manipulating configuration chromosomes, angle memories, and state vectors in a systematic and effective manner.
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