• Quantum algorithms (VQAs, QAOA, annealing, and beyond);
  • Quantum-inspired heuristics for industry-scale problems;
  • System architectures for hybrid quantum-classical environments;
  • Programming frameworks and domain-specific quantum languages;
  • Advanced error mitigation strategies for the NISQ era;
  • Hardware-aware quantum software, including simulators;
  • Cybersecurity frameworks rooted in post-quantum principles.
  • Zero Noise Extrapolation (ZNE);
  • Probabilistic Error Cancellation (PEC);
  • Clifford Data Regression;
  • Symmetry Verification.
  • Systems grounded in mathematical precision;
  • Architectures that scale across quantum and classical domains;
  • Innovation that bridges theory, simulation, and deployable code;