Quantum-Enhanced Neural Networks for High-Dimensional Data Synthesis

Dr. Μάριος Τσακίρης
Prof. Σοφία Αναγνωστοπούλου

Published in: IEEE Transactions on Quantum Computing - September 2025

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Abstract

This study introduces εαmmcΣΤ's next-generation quantum neural framework, merging differential geometry with quantum annealing. Our approach demonstrates 18.4x speedup in high-dimensional manifold generation compared to classical neural methods.

Commercial Applications

  • • Quantum machine learning optimization
  • • Financial risk modeling
  • • Pharmaceutical drug discovery

Key Innovations

  • • 99.3% quantum coherence maintenance
  • • Real-time differential manifold reconstruction
  • • Adaptive quantum-neural hybrid processing

22

Peer Reviewers

342

Citations

99.3%

Qubit Stability

Previous Work