Quantum Hiding Computation: A Global Optimization Approach

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum Hiding Computation (QHC) offers a transformative paradigm for optimization problems, leveraging quantum mechanics to enable more efficient search and exploration. This paper explores the application of QHC to global optimization, proposing a novel algorithm based on entangled qubits and quantum superposition. We detail the core mechanism of this approach, emphasizing the utilization of quantum entanglement to enhance the exploration of search spaces and guide the algorithm towards optimal solutions. The paper highlights the potential advantages of QHC over traditional global optimization techniques, focusing on improved efficiency and the ability to tackle complex, high-dimensional problems. This work investigates the theoretical foundations and practical implementation of this approach, demonstrating its promise for advanced optimization scenarios.

DOI: 10.5281/zenodo.22639366

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