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October 10, 2025International Innovative Research Journal of Engineering and Technology

Accelerating NP-Hard Optimization via Quantum-Inspired Classical Algorithms

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Authors

MKMukesh KrishnanSRM Institute of Science and TechnologySDSaravanan Dr

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Implication

Analysis shows improved optimization in NP-hard problems using quantum-inspired classical algorithms, indicating their potential in classical computing.

Key Points

  • QICAs provide better approximation results in NP-hard optimization problems and reduce computing power requirements.
  • Testing on problems like the Traveling Salesman Problem reveals QICA converges to superior solutions faster.
  • The approach combines quantum mechanics principles with classical algorithms to innovate in solving complex optimization tasks.
  • Results suggest QICAs could be valuable when quantum machines are unavailable, highlighting their practical applicability.

Cite This Study

Krishnan et al. (2025) studied this question.

synapsesocial.com/papers/68e861b07ef2f04ca37e4958https://doi.org/10.32595/iirjet.org/v10i3.2025.215
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Also Consider

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  4. 4Solving various NP-hard problems using exponentially fewer qubits on a quantum computer2024 · 31 citations
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