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R. Delhibabu

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Open access Sep 2026

The intersection of post-quantum cryptography and QaaS: architecting quantum-safe cloud infrastructures

By 2030, an estimated 40% of current cloud infrastructures may be rendered vulnerable by cryptanalytically relevant quantum computers (CRQCs). This paper introduces a 4-tier security framework tailored for Quantumas-a-Service (QaaS) deployments, focusing on securing data-in-transit. Integrating 3 NIST-standardized post-quantum algorithms (ML-KEM, ML-DSA, and SLHDSA), our architecture mitigates interception threats based on Shor's algorithm. Emulation across an enterprise cloud topology demonstrates a maximum latency overhead of 17.7 milliseconds per TLS handshake under high-latency WAN conditions, ensuring high-availability operations without catastrophic fragmentation failure. The proposed model demonstrates the viability of modern latticebased cryptography for live environments and provides a structured 3-phase transition roadmap for cloud service providers (CSPs) to achieve quantum-resilience seamlessly.

Akshay Joseph, R. Delhibabu · 0 citations
#edge computing Open access Sep 2026

Hybrid VQA architectures for cloud-based quantum platforms: maximizing computational utility

Hybrid Variational Quantum Algorithms (VQAs) present a highly viable pathway to near-term quantum utility; however, their performance is fundamentally bottlenecked by classical-quantum communication latency in Quantumas-a-Service (QaaS) environments. This paper proposes an optimized classical-quantum orchestration architecture designed to minimize cloud-induced latency and maximize Quantum Processing Unit (QPU) active compute time. By implementing edge-colocated classical optimizers alongside batched parameter-shift gradient evaluations, the system circumvents stateless cloud API barriers. Benchmarking across parameterized quantum circuits ranging from 15 to 50 qubits demonstrates an 84% reduction in network-induced QPU idle time. The framework yields a 3.2 × speedup in overall convergence time for the Quantum Approximate Optimization Algorithm (QAOA) and up to a 98% reduction in classical API call overhead compared to standard RESTful QaaS execution models. These quantitative findings demonstrate that tightly coupled hybrid co-processing, physically adjacent to the control electronics, is critical for extending the computational bound of Noisy Intermediate-Scale Quantum (NISQ) devices.

Akshay Joseph, R. Delhibabu · 0 citations
Open access Aug 2026

Beyond encryption: post-quantum cryptography and the future of quantum-safe networks

This analysis demonstrates that while hybrid PQC-QKD models reduce long-term key compromise probabilities to near 0%, they introduce a 15% to 40% increase in bandwidth overhead during initial cryptographic handshakes during initial cryptographic handshakes.

R. Delhibabu · 0 citations
Open access Aug 2026

Quantum generative AI foundation models: integrating VQAs with fault-tolerant error correction

This paper proposes a hybrid quantum-classical framework utilizing isometric Tree Tensor Networks (TTNs) and a novel Quantum Self-Attention (QSA) subroutine, capable of compressing the latent space of a classical 10-parameter Large Language Model into a 10-parameter quantum neural network via amplitude encoding.

R. Delhibabu · 0 citations
Open access Jul 2026

Asynchronous proximal federated aggregation for heterogeneous healthcare networks

The proposed Asynchronous Proximal Federated Aggregation framework effectively mitigates weight divergence, indicating the robustness of asynchronous machine learning for scalable, privacy-preserving clinical diagnostics.

M.H. Sreelakshmi, R. Delhibabu · 0 citations
Open access Aug 2026

TeleZK-FL: enabling trustless and verifiable remote patient monitoring via quantized zero-knowledge federated learning

TeleZK-FL establishes the feasibility of verifiable, trustless federated learning on commodity telehealth hardware by eliminating the computational bottlenecks of server-side proof generation while incurring only 0.1%–0.3% AUC degradation.

P. Jayaraman, R. Delhibabu · 0 citations

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