Vol. 4 No. 1 (2026)

Articles

• Optimizing Quantum-Inspired Algorithms for Enhanced Decision-Making in Complex Systems

  Taylor Garcia, Chris Nelson, Kim Martin, Kim Adams

  30-44

  • Optimizing Quantum-Inspired Algorithms for Enhanced Decision-Making in Complex Systems

• A Comparative Analysis of Quantum-Inspired Heuristic Methods for Solving Large-Scale Combinatorial Optimization Problems

  Quinn Rodriguez, Alex Miller, Skyler Thomas

  3-14

  • A Comparative Analysis of Quantum-Inspired Heuristic Methods for Solving Large-Scale Combinatorial Optimization Problems

• Quantitative Insights into Federated Learning Efficiency in Multi-Modal Medical Data Analysis: A Case Study on Diagnostic Accuracy

  Adrian King, Morgan Nelson, Taylor Lopez, Cameron Parker

  75-94

  • Quantitative Insights into Federated Learning Efficiency in Multi-Modal Medical Data Analysis: A Case Study on Diagnostic Accuracy

• A Comparative Analysis of Ensemble Learning Techniques for Enhanced Anomaly Detection in IoT Systems

  Taylor Lopez, Sam Jackson, Skyler Robinson, Kim Garcia

  45-59

  • A Comparative Analysis of Ensemble Learning Techniques for Enhanced Anomaly Detection in IoT Systems

• Optimizing Quantum Neural Network Architectures for Enhanced Computational Efficiency in Edge Computing Applications

  Sam Wright, Taylor Davis, Nico Brown, Edward Collins

  15-29

  • Optimizing Quantum Neural Network Architectures for Enhanced Computational Efficiency in Edge Computing Applications

• A Novel Quantum-Inspired Heuristic Framework for Enhanced Multi-Objective Optimization in Cloud Computing Architectures

  Ashley Garcia, Pat Miller, Kai Young

  60-74

  • A Novel Quantum-Inspired Heuristic Framework for Enhanced Multi-Objective Optimization in Cloud Computing Architectures