• PARTHA SARATHI DAS

Distributed intelligence at the network edge is advancing rapidly through the convergence of quantum computing and edge artificial intelligence (Edge AI). This emerging synthesis, referred to as Quantum Edge AI (QE-AI), embodies a transformative paradigm for enabling quantum-enhanced learning and decision-making in latency-sensitive and privacy-constrained environments. By integrating quantum processors with localized edge nodes, QE-AI aims to address computational bottlenecks associated with data transfer, energy efficiency, and real-time inference. The approach leverages quantum mechanical principles such as superposition and entanglement to enhance sampling, optimization, and model generalization beyond classical edge architectures. Recent research demonstrates notable progress in hybrid system architectures, algorithmic frameworks, and hardware integration. Prominent paradigms include hybrid cloud–edge quantum processing units (QPUs), quantum-enhanced federated learning, and proximate quantum accelerators. Algorithmic developments in variational quantum circuits, quantum kernels, and quantum-aware optimization have further advanced performance in distributed learning contexts. Concurrently, experimental prototypes based on photonic processors and superconducting qubits illustrate practical feasibility, while highlighting persistent challenges in scalability, error mitigation, and orchestration latency. The absence of standardized middleware and benchmarking protocols remains a critical obstacle to broader adoption. Addressing these issues through coordinated research in co-design, middleware development, and domain-specific benchmarking is essential for realizing the vision of distributed quantum intelligence, where computation, communication, and cognition are seamlessly integrated across the quantum–edge continuum.

quantum edge, variational quantum algorithms, quantum federated learning, photonic integration, quantum key distribution

"TOWARD DISTRIBUTED QUANTUM INTELLIGENCE: A REVIEW OF QUANTUM EDGE AI SYSTEMS AND RESEARCH FRONTIERS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.d304-d318, November-2025, Available :http://www.jetir.org/papers/JETIR2511334.pdf

"TOWARD DISTRIBUTED QUANTUM INTELLIGENCE: A REVIEW OF QUANTUM EDGE AI SYSTEMS AND RESEARCH FRONTIERS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppd304-d318, November-2025, Available at : http://www.jetir.org/papers/JETIR2511334.pdf