MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641017930 A) filed by Madhankumar C; Dr. S. Hariharasudhan; Dr. Selvin Retna Raj Thavasimuthu; Banjo C Babu; B Tamil Selvi; Ms. Aswathy Mariam Mohan; and Dr. Divya G, Pollachi, Tamil Nadu, on Feb. 18, for 'neuro-adaptive quantum-inspired communication architecture with ai driven signal self-healing for ultra-resilient electronic systems.'
Inventor(s) include Dr. S. Hariharasudhan; Dr. Selvin Retna Raj Thavasimuthu; Banjo C Babu; B Selvi; Ms. Aswathy Mariam Mohan; and Dr. Divya G.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "Neuro-Adaptive Quantum-Inspired Communication Architecture with AI Driven Signal Self-Healing for Ultra-Resilient Electronic Systems Abstract The increasing reliance on intelligent electronic systems in mission-critical applications such as autonomous platforms, smart healthcare infrastructure, space communication, and cyber-physical defense networks demands communication architectures that are not only high-performance but inherently resilient to noise, faults, and adversarial disruptions. This paper presents a Neuro-Adaptive Quantum-Inspired Communication Architecture (NAQICA) integrated with AI Driven Signal Self-Healing mechanisms to achieve ultra-resilient electronic communication systems. The proposed architecture leverages quantum-inspired probabilistic signal modeling to encode information across superposed state representations, enabling enhanced robustness against channel uncertainty and interference. A neuro adaptive control layer, built upon deep reinforcement learning and spiking neural inference models, continuously monitors signal integrity, channel dynamics, and hardware anomalies in real time. Upon detection of degradation, the system autonomously initiates self-healing strategies, including adaptive re-encoding, dynamic waveform restructuring, intelligent error correction, and predictive fault isolation without interrupting ongoing communication. Unlike conventional fault-tolerant or redundancy-based systems, the proposed framework exhibits cognitive resilience, where the communication system learns from historical disruptions and proactively adapts to future disturbances. Simulation-based evaluations demonstrate significant improvements in signal recovery latency, packet delivery reliability, and energy efficiency under severe noise, jamming, and partial hardware failure scenarios. The architecture establishes a foundational step toward next-generation resilient electronic systems, offering strong potential for deployment in 6G networks, intelligent IoT fabrics, and autonomous cyber-physical ecosystems."
Disclaimer: Curated by HT Syndication.
