1 publication

• Published Subscription Original Research 20 Mar 2026

  Bridging Brain-Inspired Learning and Quantum Reasoning for Future AGI Systems

  By Reshika Gupta, Rajnish Kumar, Sachin Yadav, TinuAnand Kumar

  Abstract: This research paper presents a novel neuromorphic–quantum hybrid computing framework envisioned to advance intelligent systems toward artificial general intelligence. The architecture integrates brain-inspired spiking networks for adaptive, energy-efficient learning with quantum processors for non-classical optimization and reasoning. A shared synaptic–quantum memory layer enables dual information representation, while neuromorphic adaptive controllers provide real-time stabilization of noisy quantum circuits. While quantum processors offer features like superposition- enabled exploration and entanglement-based correlations that …

  Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article →