Cloud-Native Topological Quantum Computing Using Distributed Photonic Anyon Networks
Murali Krishna Pasupuleti
Abstract This study investigates a cloud-native framework for topological quantum computing in which distributed photonic quantum networks support anyon-mediated logical operations, validated through formal reasoning agents, proof agents and benchmark-oriented simulation. The central research problem concerns the gap between theoretically robust anyonic quantum information processing and the operational realities of distributed quantum infrastructure, where photonic loss, repeater latency, cloud orchestration overhead, service-chain anomalies and proof-level uncertainty jointly shape the viability of large-scale computation. The proposed framework treats topological protection, photonic entanglement distribution and cloud-native service governance as a single cyber-physical architecture rather than as separate hardware, software and mathematical layers. The method integrates a literature-derived, realistic benchmark dataset with analytic modelling of fidelity decay, logical error proxies, latency decomposition and validation confidence. The results indicate that a cloud-native photonic anyon network can reduce the logical error proxy from 3.48e-2 in baseline photonic distribution to 4.91e-3 while maintaining a lower latency profile than monolithic quantum job execution. The paper contributes a five-subtheme literature synthesis, a layered architectural model, equations linking entanglement fidelity to logical failure probability, and a validation workflow that converts tentative mathematical reasoning into machine-verifiable proof artefacts. The study concludes that cloud-native topological quantum computing is most credible when photonic networking, anyon code design, observability and proof checking are co-designed under explicit service-level and error-budget constraints. Keywords: cloud-native quantum computing; topological quantum computing; photonic quantum networks; anyons; distributed quantum computing; quantum repeaters; Kubernetes; formal proof agents; logical error modelling; quantum service mesh. References de Andrade, MG 2021, 'A quantum walk control plane for distributed quantum computing in quantum networks', 2021 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 313-323, doi: 10.1109/QCE52317.2021.00048. Pasupuleti, MK 2021a, 'A Comparative Computational Study of OR, Stochastic Programming, and Deep RL for Sustainable Cloud and Network Operations', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 01, no. 12, National Education Services, pp. 149-173, doi: 10.62311/nesx/rp-m7-dec-2021. Pasupuleti, MK 2021b, 'Deep Reinforcement Learning for Online Cloud Resource Management: An Approximate Dynamic Programming Perspective', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 01, no. 12, National Education Services, pp. 76-98, doi: 10.62311/nesx/rp-m4-dec-2021. Pasupuleti, MK 2021c, 'Global Convergence Guarantees of Iterative Algorithms for Unitary Quantum Channel Search', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 01, no. 01, National Education Services, pp. 331-341, doi: 10.62311/nesx/rp-1-08-2021. Pasupuleti, MK 2021d, 'Hierarchical OR + RL Control for Cloud and Network Operations Under Policy-as-Code Constraints', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 01, no. 12, National Education Services, pp. 99-123, doi: 10.62311/nesx/rp-m5-dec-2021. Pasupuleti, MK 2021e, 'Operations Research Challenges in Energy-Efficient Cloud and Network Infrastructure: An Integrated AI-Simulation Perspective', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 01, no. 12, National Education Services, pp. 1-25, doi: 10.62311/nesx/rp-m1-dec-2021. Pasupuleti, MK 2021f, 'Policy-Aware AI for Cloud Operations: Integrating Deep RL with Cloud Custodian', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 01, no. 12, National Education Services, pp. 124-148, doi: 10.62311/nesx/rp-m6-dec-2021. Pasupuleti, MK 2021g, 'Quantum-Safe Network Security: Advances in Quantum Cryptography and Systems Integration', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 01, no. 01, National Education Services, pp. 232-245, doi: 10.62311/nesx/rp-1-01-2021. Pasupuleti, MK 2021h, 'Stochastic Modelling and Scenario Generation for Cloud Workload and Network Traffic in OR Models', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 01, no. 12, National Education Services, pp. 26-50, doi: 10.62311/nesx/rp-m2-dec-2021. Pasupuleti, MK 2021i, 'Stochastic Optimization Models for Energy-Aware Cloud Resource Allocation Using Simulation-Derived Scenarios', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 01, no. 12, National Education Services, pp. 51-75, doi: 10.62311/nesx/rp-m3-dec-2021. Yan, Z, Wang, Y-C, Ma, N, Qi, Y & Meng, ZY 2021, 'Topological phase transition and single/multi anyon dynamics of Z2 spin liquid', npj Quantum Materials, pp. 6, 39, doi: 10.1038/s41535-021-00338-1. Pasupuleti, MK 2022a, 'Building a Data-Driven Operations Backbone: Governance and Performance of Big-Data Pipelines with Hadoop and Apache Spark in Cloud Firms', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 02, no. 12, National Education Services, pp. 53-72, doi: 10.62311/nesx/rp-m3-dec-2022. Pasupuleti, MK 2022b, 'Deep Learning Through a Statistical Lens: Approximation Guarantees, Training Dynamics, and Generative Models', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 02, no. 01, National Education Services, pp. 125-143, doi: 10.62311/nesx/rp-1-01-2022. Pasupuleti, MK 2022c, 'Driven Resource Management in Cloud Services: Managerial Implications of Deep Reinforcement Learning Policies', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 02, no. 12, National Education Services, pp. 1-28, doi: 10.62311/nesx/rp-m1-dec-2022. Pasupuleti, MK 2022d, 'Entropy-Driven Optimization of Multi-LLM Dialogues through Conditional Information Dynamics', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 02, no. 01, National Education Services, pp. 157-167, doi: 10.62311/nesx/rp-2-01-2022. Pasupuleti, MK 2022e, 'Policy-as-Code in Cloud Governance: Impacts of Cloud Custodian on Cost, Compliance, and Managerial Control', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 02, no. 12, National Education Services, pp. 29-52, doi: 10.62311/nesx/rp-m2-dec-2022. Pasupuleti, MK 2022f, 'Strategic Siting of Data Centres: A GIS-Based Multi-Criteria Decision Framework for Cost, Risk, and Sustainability', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 02, no. 12, National Education Services, pp. 92-110, doi: 10.62311/nesx/rp-m5-dec-2022. Pasupuleti, MK 2022g, 'Unifying Topological Quantum Field Theories with Statistical Mechanics: A Framework for Quantum States and Dynamics', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 02, no. 01, National Education Services, pp. 168-178, doi: 10.62311/nesx/rp-3-01-2022. Buckley, A, Chuprikov, P, Otoni, R, Rand, R, Soule, R & Eugster, P 2023, 'Towards an Algebraic Specification of Quantum Networks', Proceedings of the 1st Workshop on Quantum Networks and Distributed Quantum Computing, pp. 7-12, doi: 10.1145/3610251.3610557. Ellison, TD, Chen, Y-A, Dua, A, Shirley, W, Tantivasadakarn, N & Williamson, DJ 2023, 'Pauli topological subsystem codes from Abelian anyon theories', Quantum, pp. 7, 1137, doi: 10.22331/q-2023-10-12-1137. Pasupuleti, MK 2023a, 'AI Digital Twins in Simulink: Safe RL for Hardware-in-the-Loop Control', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 03, no. 06, National Education Services, pp. 114-125, doi: 10.62311/nesx/rp-30623-114-125. Pasupuleti, MK 2023b, 'Edge AI with Mosquitto: Secure, QoS-Aware Federated Anomaly Detection', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 03, no. 06, National Education Services, pp. 195-210, doi: 10.62311/nesx/rp-30623-195-210. Pasupuleti, MK 2023c, 'Foundation Models in PyTorch: Retrieval-Augmented Fine-Tuning with Safety Guardrail', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 03, no. 03, National Education Services, pp. 1-16, doi: 10.62311/nesx/rp-30032023-1-16. Pasupuleti, MK 2023d, 'NS-3 for 6G: Multi-Agent RL Slicing with eBPF Telemetry', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 03, no. 06, National Education Services, pp. 162-177, doi: 10.62311/nesx/rp-30623-162-177. Pasupuleti, MK 2023e, 'Policy-as-Code AI: Auto-Remediation and FinOps Risk Guardrails with Cloud Custodian', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 03, no. 06, National Education Services, pp. 211-225, doi: 10.62311/nesx/rp-30623-211-225. Pasupuleti, MK 2023f, 'QML for Edge Anomaly Detection: Variational Circuits on MQTT/NS-3 Stream', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 03, no. 12, National Education Services, pp. 174-188, doi: 10.62311/nesx/rp-301223-174-188. Pasupuleti, MK 2023g, 'Quantum-Inspired Optimizers for Cloud-Fog Scheduling: Near-Optimal SLAs under Energy Caps', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 03, no. 03, National Education Services, pp. 17-28, doi: 10.62311/nesx/rp-30032023-17-28. Pasupuleti, MK 2023h, 'Quantum-Inspired Scheduling in CloudSim: Energy-Aware Cloud-Fog Orchestration', International Journal of Academic and Industrial Research Innovations (IJAIRI), vol. 03, no. 06, National Education Services, pp. 178-1
International Journal of Academic and Industrial Research Innovations(IJAIRI)•Apr 25, 2026•0 citations