MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641090598 A) filed by Dr. K. Kalai Selvi; Dr. R. Sorna Keerthi; Dr. Sivaranjanee R; Dr. P. Mahalakshmi; Dr. Narender Singh; and Dr. Kvns Pavan Kumar on July 24, 2026, for Quantum-Inspired Analog Signal Processor For Ultra-Low Latency Computing.
Inventors include Dr. K. Kalai Selvi; Dr. R. Sorna Keerthi; Dr. Sivaranjanee R; Dr. P. Mahalakshmi; Dr. Narender Singh; and Dr. Kvns Pavan Kumar.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention discloses a Quantum-Inspired Analog Signal Processor for Ultra-Low Latency Computing that performs high-speed, continuous-time analog computations using conventional analog electronic circuitry without relying on quantum hardware or clock-driven digital processing. The processor comprises an analog signal acquisition module, an analog signal conditioning module, a plurality of parallel analog computational channels, an adaptive analog weighting network, a quantum-inspired probabilistic decision engine, an adaptive optimization controller, and an analog output generation module. The conditioned analog signals are simultaneously processed through multiple analog computational channels to perform mathematical operations including amplification, filtering, integration, differentiation, multiplication, correlation, and nonlinear transformation. The adaptive analog weighting network dynamically adjusts the contribution of each computational channel based on real-time analog feedback, while the quantum-inspired probabilistic decision engine selects an optimized computational output using analog decision mechanisms. The adaptive optimization controller continuously updates routing paths, gain parameters, and weighting coefficients to maintain optimum processing performance under varying operating conditions. The processor generates a continuous-time analog output directly without intermediate analog-to-digital conversion or digital-to-analog reconstruction, thereby significantly reducing computational latency, minimizing power consumption, and improving computational throughput. The disclosed invention is suitable for applications including edge artificial intelligence, autonomous vehicles, industrial automation, robotics, biomedical instrumentation, radar systems, wireless communication, Internet of Things (IoT) devices, aerospace electronics, defense systems, and other real-time intelligent electronic platforms requiring ultra-low latency signal processing.
Disclaimer: Curated by HT Syndication.
