
The author introduces structured quantum search algorithms to address the k-SAT problem efficiently, focusing on satisfiable instances. The approach combines k-local quantum search and adiabatic variants to improve efficiency.


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efficiency-of-k-local-quantum-search-and-its-adiabatic-variant-on-random-k-sat-analysis


Efficiency of k-Local Quantum Search and its Adiabatic Variant on Random k-SAT Analysis


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This paper proposes a novel Two-Step Quantum Search (TSQS) algorithm for solving the Traveling Salesman Problem (TSP) that leverages Higher-Order Unconstrained Binary Optimization (HOBO) encoding to achieve efficient initial state preparation and a quadratic speedup compared to classical methods.


two-step-quantum-search-algorithm-for-the-traveling-salesman-problem-using-higher-order-unconstrained-binary-optimization-encoding


Two-Step Quantum Search Algorithm for the Traveling Salesman Problem Using Higher-Order Unconstrained Binary Optimization Encoding
